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<title><![CDATA[Team IT Security - 🔧 AI Nachrichten ]]></title> 
<link><![CDATA[https://tsecurity.de/feed.php?typ=29&q=]]></link> 
<description><![CDATA[AI Nachrichten sind eine spannende und informative Quelle, um mehr über die neuesten Entwicklungen und Anwendungen von künstlicher Intelligenz zu erfahren. Auf der Website "AI Videos" finden Sie eine Auswahl von Videos zu verschiedenen Themen rund um AI, wie zum Beispiel:

- Wie AI die Cybersecurity verändert
- Wie AI die Gesundheitsversorgung verbessert
- Wie AI die Kunst und Kreativität fördert
- Wie AI die Umwelt schützt
- Und vieles mehr!

Lesen Sie sich die AI Nachrichtenartikel an und lassen Sie sich inspirieren, wie AI die Welt positiv beeinflussen kann.
Viel Spaß beim Lernen und Entdecken!]]></description>
<copyright>2026</copyright>
<atom:link href="https://tsecurity.de/feed.php?typ=29&amp;q=_" rel="self" type="application/rss+xml" />
<item> 
<title><![CDATA[AWS Weekly Roundup: BYOM for Amazon RDS for SQL Server, AWS IoT Device SDK for Swift, and more (June 8, 2026)]]></title> 
<description><![CDATA[This week, the&nbsp;AWS IoT Device SDK for Swift&nbsp;reached general availability. As a member of the&nbsp;Swift Server Workgroup (SSWG), this one caught my attention. The SDK brings production-ready MQTT 5 connectivity, Device Shadow, Jobs, and fleet provisioning to Swift developers on macOS, iOS, tvOS, and Linux. I&rsquo;m curious to see what you will build with it. [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3583117/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AWS+Weekly+Roundup%3A+BYOM+for+Amazon+RDS+for+SQL+Server%2C+AWS+IoT+Device+SDK+for+Swift%2C+and+more+%28June+8%2C+2026%29/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3583117/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AWS+Weekly+Roundup%3A+BYOM+for+Amazon+RDS+for+SQL+Server%2C+AWS+IoT+Device+SDK+for+Swift%2C+and+more+%28June+8%2C+2026%29/</guid>
<pubDate>Mon, 08 Jun 2026 23:27:12 +0200</pubDate>
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<item> 
<title><![CDATA[OpenAI files to go public in blockbuster listing]]></title> 
<description><![CDATA[ChatGPT creator has privately submitted draft prospectus for IPO expected to value company at more than $1tn ]]></description>
<link>https://tsecurity.de/de/3583052/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+files+to+go+public+in+blockbuster+listing/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3583052/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+files+to+go+public+in+blockbuster+listing/</guid>
<pubDate>Mon, 08 Jun 2026 23:24:20 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Montana School Boards Gradually Adopt AI Guidelines]]></title> 
<description><![CDATA[The Montana School Board Association released &ldquo;boilerplate&rdquo; language last fall, and school districts in Missoula, Florence and Stevensville are considering how much of that language to adopt and modify. ]]></description>
<link>https://tsecurity.de/de/3583051/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Montana+School+Boards+Gradually+Adopt+AI+Guidelines/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3583051/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Montana+School+Boards+Gradually+Adopt+AI+Guidelines/</guid>
<pubDate>Mon, 08 Jun 2026 23:57:24 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Data Supports Efforts to Combat Urban Heat; Could AI Help?]]></title> 
<description><![CDATA[Local governments are using data to inform urban forestry initiatives and other work to mitigate the impacts of heat islands on communities. Implementing AI technology may add value. ]]></description>
<link>https://tsecurity.de/de/3583050/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Data+Supports+Efforts+to+Combat+Urban+Heat%3B+Could+AI+Help%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3583050/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Data+Supports+Efforts+to+Combat+Urban+Heat%3B+Could+AI+Help%3F/</guid>
<pubDate>Tue, 09 Jun 2026 00:02:08 +0200</pubDate>
</item>
<item> 
<title><![CDATA[OpenAI confidentially files for initial public offering on US stock market]]></title> 
<description><![CDATA[ChatGPT maker is expected to be valued at more than $850bnOpenAI has filed confidentially to go public on the US stock market, according to a company blog post published Monday. The ChatGPT maker is expected to be valued at more than $850bn.&ldquo;We recently submitted a confidential S-1. We expect it to leak so we&rsquo;re just announcing it. We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company. But it&rsquo;s a complicated set of tradeoffs and this gives us the option to go public sooner if that ends up being best,&rdquo; the company&rsquo;s post reads. An S-1 is an investor prospectus submitted to the US Securities and Exchange Commission (SEC) in advance of an initial public offering (IPO). Continue reading... ]]></description>
<link>https://tsecurity.de/de/3583017/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+confidentially+files+for+initial+public+offering+on+US+stock+market/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3583017/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+confidentially+files+for+initial+public+offering+on+US+stock+market/</guid>
<pubDate>Mon, 08 Jun 2026 23:47:14 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Broadcom beefs up Spring security to protect against AI-enabled attacks]]></title> 
<description><![CDATA[

					  
						




Broadcom today announced multiple security investments in its Spring and Java ecosystems that aim to help protect users from AI-enabled threats.



The company said that, first, it is releasing what it called the largest set of Spring security updates to open source in the product&rsquo;s history, and, for customers, it is extending its clean-room build architecture to build the Java dependencies for the entire Spring ecosystem.



&ldquo;Spring is one of the most widely adopted application development frameworks in the world, and as its steward, we have a deep responsibility for its security,&rdquo; said Purnima Padmanabhan, vice president and general manager of Broadcom&rsquo;s Tanzu Division. &ldquo;Because we maintain Spring and are the sole committers, we can better secure it at the source for everyone who depends on it. This investment is about two things we will never separate: the health of the Spring community and the security of our customers who trust Spring to run their business.&rdquo;



The company also announced that, as the number of security advisories reported by the community has exploded, its engineering team has &ldquo;significantly scaled&rdquo; its use of AI tools to help it identify vulnerabilities, assess remediation paths, and validate fixes across the dependency ecosystem. Although Broadcom declined to specify the AI models it&rsquo;s using in its bug hunting, it is a member of Anthropic&rsquo;s Project Glasswing, so Claude Mythos is likely part of the effort.



For paying customers only



One perk available only to Tanzu Spring enterprise customers is zero-day access to validated CVE patch-only releases through the Spring Enterprise Repository, before they are released to open source. These patches isolate the security fix from any other changes to let customers remediate more quickly.



&ldquo;By utilizing Tanzu Spring&rsquo;s private artifact repositories, customers can be confident that the artifacts are the official, validated patches from Broadcom, the steward of Spring,&rdquo; Broadcom said in its announcement, adding that it will continue to issue CVEs for all versions of every Spring project under open source support, as well as older versions under Tanzu Spring enterprise support.



Broadcom&rsquo;s Tanzu Spring enterprise support includes:




Certified source for secure spring libraries&nbsp;



Commercial-first release of patches for both current and older, enterprise supported versions



Access to dependent Java binaries



Automated, deterministic upgrades with Spring Application Advisor



Exclusive Tanzu Spring components for governance and security



24&times;7 support, hands-on expertise and access to the Spring team.




In addition, Broadcom said, it has now added:




Secured, SLSA Level 3&ndash;validated software supply chain for Java dependencies.



Coverage that spans the full transitive dependency graph managed by the Spring Boot bill of materials.



Thousands of secured dependencies, built and tested across every supported Spring version. Spring Boot 4.0 alone manages 1,768 of them; across the full supported portfolio, that totals more than 100,000 validated dependency builds.




&ldquo;This capability gives customers validated dependencies across both current and end-of-life Spring versions, helping customers reduce software supply chain risk while continuing to benefit from the productivity and consistency of Spring Boot&rsquo;s dependency management model,&rdquo; the announcement noted.



Security fixes for sale



Seva Ioussoufovitch, senior research analyst at Info-Tech Research Group, sees these moves as mostly positive.



&ldquo;It&rsquo;s encouraging to see Broadcom take proactive steps towards dealing with the increase in AI-detected vulnerabilities that many organizations have had to contend with in recent months,&rdquo; he said. &ldquo;Announcements like Mythos have made it clear that the industry needs to re-think traditional approaches to security patching.&rdquo;



Ioussoufovitch isn&rsquo;t surprised at the size of the update release either, noting that it&rsquo;s consistent with the result of AI scanning and remediation that has been occurring, and will likely continue.



&ldquo;More meaningful is the provision of validated and secured dependencies,&rdquo; he said. &ldquo;This is a critical move in the right direction, especially with the endlessly growing list of supply chain vulnerabilities the industry has been managing in recent months.&rdquo;



Ioussoufovitch is less happy with the restriction of zero-day patches to paying customers.



&ldquo;Putting security fixes behind a paywall isn&rsquo;t new, but when there are no drop-in alternatives for an ecosystem as critical as Spring, it just looks like a power move to force more of the open-source community onto the monetization track,&rdquo; he noted. &ldquo;Another approach might&rsquo;ve been to release the CVE fixes to everyone while charging for enterprise-grade packaging, validation, and support, but, given Broadcom&rsquo;s track record of aggressive monetization in recent years, what they&rsquo;ve chosen here doesn&rsquo;t necessarily come as a shock.&rdquo;

 ]]></description>
<link>https://tsecurity.de/de/3582950/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Broadcom+beefs+up+Spring+security+to+protect+against+AI-enabled+attacks/</link>
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<pubDate>Mon, 08 Jun 2026 23:02:55 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Apple unveils long-awaited AI Siri after years of delays]]></title> 
<description><![CDATA[Silicon Valley giant seeking to differentiate itself with a commitment to privacy ]]></description>
<link>https://tsecurity.de/de/3582861/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Apple+unveils+long-awaited+AI+Siri+after+years+of+delays/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582861/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Apple+unveils+long-awaited+AI+Siri+after+years+of+delays/</guid>
<pubDate>Mon, 08 Jun 2026 22:19:18 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Georgia Will Build Statewide AI ‘Guardrails’ With Darwin]]></title> 
<description><![CDATA[The state wants to position itself as an artificial intelligence leader and has struck a deal with Darwin AI, a startup, to move closer to that goal. The goal is to take a &quot;foundation-first&quot; approach to the tech. ]]></description>
<link>https://tsecurity.de/de/3582831/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Georgia+Will+Build+Statewide+AI+%E2%80%98Guardrails%E2%80%99+With+Darwin/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582831/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Georgia+Will+Build+Statewide+AI+%E2%80%98Guardrails%E2%80%99+With+Darwin/</guid>
<pubDate>Mon, 08 Jun 2026 22:19:53 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Say hi to "Siri AI"—Apple announces new, more "conversational" voice assistant]]></title> 
<description><![CDATA[New features coming this fall alongside two-tiered, Google-powered AI model overhaul. ]]></description>
<link>https://tsecurity.de/de/3582681/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Say+hi+to+%22Siri+AI%22%E2%80%94Apple+announces+new%2C+more+%22conversational%22+voice+assistant/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582681/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Say+hi+to+%22Siri+AI%22%E2%80%94Apple+announces+new%2C+more+%22conversational%22+voice+assistant/</guid>
<pubDate>Mon, 08 Jun 2026 21:30:05 +0200</pubDate>
</item>
<item> 
<title><![CDATA[What Connecticut's New AI Law Means for K-12 and Higher Ed]]></title> 
<description><![CDATA[A new law signed June 2 makes computer science a requirement for public schools and creates the Connecticut AI Academy to develop training materials to teach students, teachers and school officials about using AI. ]]></description>
<link>https://tsecurity.de/de/3582627/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+Connecticut%27s+New+AI+Law+Means+for+K-12+and+Higher+Ed/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582627/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+Connecticut%27s+New+AI+Law+Means+for+K-12+and+Higher+Ed/</guid>
<pubDate>Mon, 08 Jun 2026 21:04:27 +0200</pubDate>
</item>
<item> 
<title><![CDATA[ClawHub Security Signals: A Coding Guide to End-to-End Security Signal Analysis and Verdict Classification on the AI Skills Dataset]]></title> 
<description><![CDATA[In this tutorial, we explore the ClawHub Security Signals dataset to see how scanners assess AI skills. We load the data from the Hugging Face Parquet conversion and inspect verdicts, scanner outputs, and severity labels. We measure how VirusTotal, static analysis, and SkillSpector overlap and disagree using Jaccard scores and Cohen&#039;s kappa. Finally, we combine SKILL.md text with scanner signals to train a logistic regression model for ClawScan verdicts.
The post ClawHub Security Signals: A Coding Guide to End-to-End Security Signal Analysis and Verdict Classification on the AI Skills Dataset appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3582585/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/ClawHub+Security+Signals%3A+A+Coding+Guide+to+End-to-End+Security+Signal+Analysis+and+Verdict+Classification+on+the+AI+Skills+Dataset/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582585/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/ClawHub+Security+Signals%3A+A+Coding+Guide+to+End-to-End+Security+Signal+Analysis+and+Verdict+Classification+on+the+AI+Skills+Dataset/</guid>
<pubDate>Mon, 08 Jun 2026 20:57:19 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Gemini 3.5 and Antigravity come to Google NotebookLM]]></title> 
<description><![CDATA[NotebookLM is getting a big upgrade, but it&#039;s only for AI Ultra and enterprise accounts right now. ]]></description>
<link>https://tsecurity.de/de/3582584/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Gemini+3.5+and+Antigravity+come+to+Google+NotebookLM/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582584/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Gemini+3.5+and+Antigravity+come+to+Google+NotebookLM/</guid>
<pubDate>Mon, 08 Jun 2026 21:00:30 +0200</pubDate>
</item>
<item> 
<title><![CDATA[For the 2nd time in weeks, Microsoft packages laced with credential stealer]]></title> 
<description><![CDATA[73 packages run self-replicating stealer as soon as they&#039;re opened by an AI agent. ]]></description>
<link>https://tsecurity.de/de/3582546/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/For+the+2nd+time+in+weeks%2C+Microsoft+packages+laced+with+credential+stealer/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582546/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/For+the+2nd+time+in+weeks%2C+Microsoft+packages+laced+with+credential+stealer/</guid>
<pubDate>Mon, 08 Jun 2026 20:34:23 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Increase Recommendation Systems’ Precision with LLMs, Using Python]]></title> 
<description><![CDATA[This is how LLMs are used today to increase precision in recommendation systems
The post Increase Recommendation Systems&rsquo; Precision with LLMs, Using Python appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3582458/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Increase+Recommendation+Systems%E2%80%99+Precision+with+LLMs%2C+Using+Python/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582458/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Increase+Recommendation+Systems%E2%80%99+Precision+with+LLMs%2C+Using+Python/</guid>
<pubDate>Mon, 08 Jun 2026 20:00:00 +0200</pubDate>
</item>
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<title><![CDATA[Microsoft Research's Lens proves detailed captions matter more than raw scale for training efficient image generators]]></title> 
<description><![CDATA[
        Microsoft Research presents Lens, a text-to-image model with just 3.8 billion parameters that matches much larger rivals on benchmarks, at a fraction of the training cost. The secret sauce: 800 million detailed image captions generated by GPT-4.1 instead of vague web alt-text. Code and weights are openly available under an open-source license.
The article Microsoft Research&#039;s Lens proves detailed captions matter more than raw scale for training efficient image generators appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3582410/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+Research%27s+Lens+proves+detailed+captions+matter+more+than+raw+scale+for+training+efficient+image+generators/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582410/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+Research%27s+Lens+proves+detailed+captions+matter+more+than+raw+scale+for+training+efficient+image+generators/</guid>
<pubDate>Mon, 08 Jun 2026 19:57:40 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Apple’s Health app can now tell you if you’re in perimenopause]]></title> 
<description><![CDATA[Cycle tracker will now notify women when their cycle patterns are suggestive of perimenopause. ]]></description>
<link>https://tsecurity.de/de/3582409/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Apple%E2%80%99s+Health+app+can+now+tell+you+if+you%E2%80%99re+in+perimenopause/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582409/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Apple%E2%80%99s+Health+app+can+now+tell+you+if+you%E2%80%99re+in+perimenopause/</guid>
<pubDate>Mon, 08 Jun 2026 20:03:05 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Intel gets a second life as Google and Nvidia explore it as a TSMC backup for AI chips]]></title> 
<description><![CDATA[
        Google has ordered more than three million AI chips from Intel for 2028. Nvidia is testing Intel&#039;s manufacturing tech for its upcoming Feynman architecture. Both moves come as TSMC can&#039;t keep up with AI chip demand. Intel&#039;s long-struggling foundry division is getting a rare second chance.
The article Intel gets a second life as Google and Nvidia explore it as a TSMC backup for AI chips appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3582345/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Intel+gets+a+second+life+as+Google+and+Nvidia+explore+it+as+a+TSMC+backup+for+AI+chips/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582345/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Intel+gets+a+second+life+as+Google+and+Nvidia+explore+it+as+a+TSMC+backup+for+AI+chips/</guid>
<pubDate>Mon, 08 Jun 2026 19:31:50 +0200</pubDate>
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<item> 
<title><![CDATA[The Guardian view on children and the internet: rolling back big tech’s untrammelled power | Editorial]]></title> 
<description><![CDATA[A belated change of policy on nude digital images of children must be part of a wider resetAmid the flurry of resignations by ministers who said they had lost confidence in Sir Keir Starmer&rsquo;s leadership, Jess Phillips&rsquo;s attack on his record on tech&nbsp;regulation stood out. &ldquo;Over a year ago I presented&nbsp;solutions, long worked on by brilliant civil servants, that would end the ability for children in the&nbsp;UK to take naked images of themselves,&rdquo; she wrote.&nbsp;The postponement of an announcement in&nbsp;March left her frustrated. In the end, all that Ms&nbsp;Phillips managed to secure was a pledge that the&nbsp;law might change sometime.Other campaigners echoed her frustration. Hannah Swirsky, head of policy at the Internet Watch Foundation, agreed that the government had been slow to act, despite the rise in offences involving self‑generated explicit imagery. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3582283/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Guardian+view+on+children+and+the+internet%3A+rolling+back+big+tech%E2%80%99s+untrammelled+power+%7C+Editorial/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582283/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Guardian+view+on+children+and+the+internet%3A+rolling+back+big+tech%E2%80%99s+untrammelled+power+%7C+Editorial/</guid>
<pubDate>Mon, 08 Jun 2026 19:29:22 +0200</pubDate>
</item>
<item> 
<title><![CDATA[They Spent Years on a Math Problem. Then They Were Scooped by A.I.]]></title> 
<description><![CDATA[Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians. What does that mean for their future? ]]></description>
<link>https://tsecurity.de/de/3582241/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/They+Spent+Years+on+a+Math+Problem.+Then+They+Were+Scooped+by+A.I./</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582241/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/They+Spent+Years+on+a+Math+Problem.+Then+They+Were+Scooped+by+A.I./</guid>
<pubDate>Mon, 08 Jun 2026 19:00:06 +0200</pubDate>
</item>
<item> 
<title><![CDATA[How to Keep Quantum Information Alive for Machine Learning]]></title> 
<description><![CDATA[Quantum Machine Learning promises powerful new ways of processing information, but quantum states are extraordinarily fragile. In this article, we explore why quantum information is so difficult to protect, how noise and decoherence introduce errors, and the fundamental ideas behind Quantum Error Correction: the technology that may make large-scale quantum machine learning possible.
The post How to Keep Quantum Information Alive for Machine Learning appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3582195/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+to+Keep+Quantum+Information+Alive+for+Machine+Learning/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582195/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+to+Keep+Quantum+Information+Alive+for+Machine+Learning/</guid>
<pubDate>Mon, 08 Jun 2026 18:30:00 +0200</pubDate>
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<title><![CDATA[Xiaomi MiMo and TileRT Push a 1-Trillion-Parameter Model Past 1000 Tokens Per Second on Commodity GPUs]]></title> 
<description><![CDATA[Xiaomi&#039;s MiMo team, with TileRT, released MiMo-V2.5-Pro-UltraSpeed, a serving mode for the MiMo-V2.5-Pro model. It decodes over 1000 tokens per second on a 1-trillion-parameter model using a single 8-GPU commodity node.
The post Xiaomi MiMo and TileRT Push a 1-Trillion-Parameter Model Past 1000 Tokens Per Second on Commodity GPUs appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3582194/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Xiaomi+MiMo+and+TileRT+Push+a+1-Trillion-Parameter+Model+Past+1000+Tokens+Per+Second+on+Commodity+GPUs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582194/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Xiaomi+MiMo+and+TileRT+Push+a+1-Trillion-Parameter+Model+Past+1000+Tokens+Per+Second+on+Commodity+GPUs/</guid>
<pubDate>Mon, 08 Jun 2026 18:49:04 +0200</pubDate>
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<item> 
<title><![CDATA[Announcing major new donations, and recapping the 2025 fundraiser]]></title> 
<description><![CDATA[This past December, we ran our first fundraiser in six years, setting an ambitious goal of $6M. We ended up receiving a total of $1.8M from small donors and $1.6M in matching from the Survival and Flourishing Fund (SFF) for a total of $3.4M. We&rsquo;re incredibly grateful for all this support! In the rest of [&hellip;]
The post Announcing major new donations, and recapping the 2025 fundraiser appeared first on Machine Intelligence Research Institute. ]]></description>
<link>https://tsecurity.de/de/3582193/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Announcing+major+new+donations%2C+and+recapping+the+2025+fundraiser/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582193/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Announcing+major+new+donations%2C+and+recapping+the+2025+fundraiser/</guid>
<pubDate>Mon, 08 Jun 2026 18:51:06 +0200</pubDate>
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<title><![CDATA[It’s safe to close your laptop now: Hosting coding agents on Amazon Bedrock AgentCore]]></title> 
<description><![CDATA[Amazon Bedrock AgentCore Runtime gives each agent session its own isolated microVM with a persistent workspace, secure tool access through Gateway, and built-in observability&mdash;so you can run Claude Code, Codex, Kiro, and Cursor in parallel without sharing secrets, ports, or filesystems. Close the lid, go to dinner, and pick up where you left off tomorrow. ]]></description>
<link>https://tsecurity.de/de/3582159/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+safe+to+close+your+laptop+now%3A+Hosting+coding+agents+on+Amazon+Bedrock+AgentCore/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582159/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+safe+to+close+your+laptop+now%3A+Hosting+coding+agents+on+Amazon+Bedrock+AgentCore/</guid>
<pubDate>Mon, 08 Jun 2026 18:35:02 +0200</pubDate>
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<title><![CDATA[Unlocking AI flexibility in Europe: A guide to cross-region inference for EU data processing and model access]]></title> 
<description><![CDATA[With access to the latest generative AI models and high-performance accelerated compute in high global demand, AWS customers need tools to take advantage of model availability and capacity across multiple AWS Regions, while still meeting their security and privacy requirements. cross-Region Inference (CRIS) on Amazon Bedrock meets these needs by automatically routing requests across multiple [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3582158/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Unlocking+AI+flexibility+in+Europe%3A+A+guide+to+cross-region+inference+for+EU+data+processing+and+model+access/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582158/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Unlocking+AI+flexibility+in+Europe%3A+A+guide+to+cross-region+inference+for+EU+data+processing+and+model+access/</guid>
<pubDate>Mon, 08 Jun 2026 18:40:34 +0200</pubDate>
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<title><![CDATA[Better decisions at scale: How mathematical optimization delivers where intuition fails]]></title> 
<description><![CDATA[In this post, we introduce mathematical optimization, explain how it fits within the broader AI landscape, and showcase real-world success stories where the Innovation Center has partnered with customers to deliver concrete results. ]]></description>
<link>https://tsecurity.de/de/3582118/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Better+decisions+at+scale%3A+How+mathematical+optimization+delivers+where+intuition+fails/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582118/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Better+decisions+at+scale%3A+How+mathematical+optimization+delivers+where+intuition+fails/</guid>
<pubDate>Mon, 08 Jun 2026 18:31:17 +0200</pubDate>
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<title><![CDATA[Why Do LLMs Corrupt Your Documents When You Delegate?]]></title> 
<description><![CDATA[Analyzing several reasons why structural content decay may happen when asking LLMs to perform complex document editing for us. ]]></description>
<link>https://tsecurity.de/de/3582084/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+Do+LLMs+Corrupt+Your+Documents+When+You+Delegate%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582084/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+Do+LLMs+Corrupt+Your+Documents+When+You+Delegate%3F/</guid>
<pubDate>Mon, 08 Jun 2026 18:00:00 +0200</pubDate>
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<title><![CDATA[Amazon Quick ARNs: Cross-account migration and namespace permissions]]></title> 
<description><![CDATA[In this post, we cover the structure of Amazon Quick ARNs and provide a practical mental model for working with them. By the end, you can look at an ARN and immediately understand what it means for your migration strategy, diagnose permission issues faster, and design multi-tenant architectures with confidence. ]]></description>
<link>https://tsecurity.de/de/3582083/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Amazon+Quick+ARNs%3A+Cross-account+migration+and+namespace+permissions/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582083/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Amazon+Quick+ARNs%3A+Cross-account+migration+and+namespace+permissions/</guid>
<pubDate>Mon, 08 Jun 2026 18:07:29 +0200</pubDate>
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<title><![CDATA[End-to-end encrypted ML inference with Amazon SageMaker AI and FHE]]></title> 
<description><![CDATA[This blog has previously discussed FHE for ML inference in the post Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing, but this post goes a little further. That previous post showed how to implement FHE-based inference &#039;from scratch&#039; by hand-crafting a linear-regression algorithm using a low-level library called SEAL. Instead, this post shows a much more flexible and higher-level approach based on concrete-ml, a high-level library built specifically for FHE-based inference. It supports several common types of models &#039;out of the box&#039; and is even API compatible with the well-known ML library scikit-learn. ]]></description>
<link>https://tsecurity.de/de/3582082/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/End-to-end+encrypted+ML+inference+with+Amazon+SageMaker+AI+and+FHE/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582082/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/End-to-end+encrypted+ML+inference+with+Amazon+SageMaker+AI+and+FHE/</guid>
<pubDate>Mon, 08 Jun 2026 18:14:14 +0200</pubDate>
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<title><![CDATA[A mother’s work has enormous value | Letter]]></title> 
<description><![CDATA[Polly Creed takes issue with a quote in an article that denigrated the importance of the work that mums do  Robert dos Santos&rsquo;s call to be more human, to connect and to challenge AI and the dark cloud it&rsquo;s set to bring upon humanity is certainly laudable &ndash; a valiant rallying cry for the dystopian, uncertain times we&rsquo;re living through (I&rsquo;m asking people to do a lot, but that&rsquo;s what it means to be a human&rsquo;: why one man made the first straight-to-video movie in 20 years, 4 June). However, I found one comment the film-maker made baffling: &ldquo;Someone once said that if your mum can do it, it doesn&rsquo;t have value.&rdquo;It&rsquo;s frustrating that, in a world where we&rsquo;ve made so much progress to combat everyday sexism, a sentiment like this could still be reeled off in a national newspaper. But also, who once said this? Whoever it was, they were clearly wrong. After all, how many mothers are doctors, artists, scientists, lawyers, cleaners, social workers, teachers? Does their work not have any value? Not to mention the unpaid domestic labour that mothers so often shoulder &ndash; the bedrock that holds up society and our economy. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3582014/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+mother%E2%80%99s+work+has+enormous+value+%7C+Letter/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582014/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+mother%E2%80%99s+work+has+enormous+value+%7C+Letter/</guid>
<pubDate>Mon, 08 Jun 2026 17:47:25 +0200</pubDate>
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<title><![CDATA[Let’s call it what it is: antisocial media | Brief letters]]></title> 
<description><![CDATA[Tech platforms | Concerned AI | David Sullivan | Contacting MPs | MoggingWhy is it that in the coverage of the downsides of the activities of the tech bros&rsquo; platforms, the term &ldquo;social media&rdquo; is used (Ministers may try to curb spread of misinformation during social unrest, 6 June). &ldquo;Social&rdquo; implies care, consideration and cooperation. It&rsquo;s time commentators dumped this cosy terminology and named it for&nbsp;what&nbsp;it is &ndash; antisocial media.Colin HinesTwickenham, London&bull; Michael Peel (Letters, 3 June) rightly says that AI has no empathy, but it can appear otherwise. On &ldquo;hearing&rdquo; my exclamation of &ldquo;Oh no!&rdquo; while watching nestlings being devoured by a predator on the TV show Springwatch, a convincingly concerned voice from my phone asked: &ldquo;Are you alright? Can I help?&rdquo;Barbara McDowellLudlow, Shropshire Continue reading... ]]></description>
<link>https://tsecurity.de/de/3582013/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Let%E2%80%99s+call+it+what+it+is%3A+antisocial+media+%7C+Brief+letters/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582013/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Let%E2%80%99s+call+it+what+it+is%3A+antisocial+media+%7C+Brief+letters/</guid>
<pubDate>Mon, 08 Jun 2026 17:47:49 +0200</pubDate>
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<title><![CDATA[Evaluate your Amazon Nova Sonic voice agent at scale, no microphone required]]></title> 
<description><![CDATA[In this post, we walk you through the Nova Sonic Test Harness, an open source framework that we built to solve both problems. It serves as a rapid iteration tool for tuning system prompts and tool configurations (run a conversation, see results, adjust, repeat) and as a comprehensive evaluation framework for validating voice agent quality at scale. It runs complete multi-turn conversations with Amazon Nova Sonic automatically, evaluates them using LLM-as-judge techniques, and can even detect cases where the model&rsquo;s audio output doesn&rsquo;t match its text output (audio hallucinations). No microphone required. ]]></description>
<link>https://tsecurity.de/de/3582012/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Evaluate+your+Amazon+Nova+Sonic+voice+agent+at+scale%2C+no+microphone+required/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582012/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Evaluate+your+Amazon+Nova+Sonic+voice+agent+at+scale%2C+no+microphone+required/</guid>
<pubDate>Mon, 08 Jun 2026 17:57:45 +0200</pubDate>
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<title><![CDATA[Long-Running Agents]]></title> 
<description><![CDATA[The following article originally appeared on Addy Osmani&rsquo;s blog and is being reposted here with the author&rsquo;s permission. A long-running AI agent can keep making progress over hours, days, or weeks. It can do this across many context windows and sandboxes, recover from failure, leave structured artifacts behind, and resume where it left off. For [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3582011/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Long-Running+Agents/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582011/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Long-Running+Agents/</guid>
<pubDate>Mon, 08 Jun 2026 17:59:06 +0200</pubDate>
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<title><![CDATA[Imperial Beach, Calif., Approves License Plate Readers]]></title> 
<description><![CDATA[The city has authorized the San Diego County Sheriff&rsquo;s Office to install four automated license plate reader cameras, joining a growing number of San Diego County jurisdictions using the tech. ]]></description>
<link>https://tsecurity.de/de/3582010/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Imperial+Beach%2C+Calif.%2C+Approves+License+Plate+Readers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582010/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Imperial+Beach%2C+Calif.%2C+Approves+License+Plate+Readers/</guid>
<pubDate>Mon, 08 Jun 2026 18:02:26 +0200</pubDate>
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<title><![CDATA[North Texas Counties Continue Weighing Data Center Proposals]]></title> 
<description><![CDATA[While county leaders in Texas have limited options for regulating or halting data center projects in their communities, a host of local officials in North Texas still plan to hold meetings on the issue. ]]></description>
<link>https://tsecurity.de/de/3582009/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/North+Texas+Counties+Continue+Weighing+Data+Center+Proposals/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3582009/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/North+Texas+Counties+Continue+Weighing+Data+Center+Proposals/</guid>
<pubDate>Mon, 08 Jun 2026 18:02:45 +0200</pubDate>
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<title><![CDATA[We need to learn how to argue with AI]]></title> 
<description><![CDATA[Putting humans in the loop is pointless if they simply rubber-stamp authoritative-sounding information ]]></description>
<link>https://tsecurity.de/de/3581952/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+need+to+learn+how+to+argue+with+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581952/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+need+to+learn+how+to+argue+with+AI/</guid>
<pubDate>Mon, 08 Jun 2026 17:27:32 +0200</pubDate>
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<title><![CDATA[4 New Techniques to Maximize Claude Code]]></title> 
<description><![CDATA[Get the most out of Claude Code with these four techniques
The post 4 New Techniques to Maximize Claude Code appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3581887/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/4+New+Techniques+to+Maximize+Claude+Code/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581887/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/4+New+Techniques+to+Maximize+Claude+Code/</guid>
<pubDate>Mon, 08 Jun 2026 17:00:00 +0200</pubDate>
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<title><![CDATA[If Australian data centres are going to power the AI revolution, we deserve a fair return | David Pocock]]></title> 
<description><![CDATA[We cannot afford to make the same mistake as we did with gas. If tech companies are going to use our land, energy and water for AI, they must pay their fair share of taxOver the past few months, tens of thousands of Australians have emailed their local MP calling for a 25% tax on gas exports. More than 2,200 people have even chipped in their own money to fund billboards promoting the idea.Why? Continue reading... ]]></description>
<link>https://tsecurity.de/de/3581838/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/If+Australian+data+centres+are+going+to+power+the+AI+revolution%2C+we+deserve+a+fair+return+%7C+David+Pocock/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581838/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/If+Australian+data+centres+are+going+to+power+the+AI+revolution%2C+we+deserve+a+fair+return+%7C+David+Pocock/</guid>
<pubDate>Mon, 08 Jun 2026 17:00:28 +0200</pubDate>
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<title><![CDATA[Most companies are flying blind on AI spending]]></title> 
<description><![CDATA[
        Only 26 percent of companies have full visibility into their AI costs, a KPMG survey finds.
The article Most companies are flying blind on AI spending appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3581812/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Most+companies+are+flying+blind+on+AI+spending/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581812/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Most+companies+are+flying+blind+on+AI+spending/</guid>
<pubDate>Mon, 08 Jun 2026 16:00:03 +0200</pubDate>
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<title><![CDATA["Chat is dead": OpenAI preps overhaul of ChatGPT]]></title> 
<description><![CDATA[OpenAI to recast hit chatbot as a route to higher-margin products before a potential IPO. ]]></description>
<link>https://tsecurity.de/de/3581685/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%22Chat+is+dead%22%3A+OpenAI+preps+overhaul+of+ChatGPT/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581685/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%22Chat+is+dead%22%3A+OpenAI+preps+overhaul+of+ChatGPT/</guid>
<pubDate>Mon, 08 Jun 2026 15:51:16 +0200</pubDate>
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<title><![CDATA[Frontier Radar #3: How agentic AI is turning tokens into a business metric]]></title> 
<description><![CDATA[
        Monthly subscription, open chat, ask question: This is how generative AI used to work. Agentic workflows go beyond this model. They consume many times more tokens, run autonomously for hours and make flat rates unaffordable for providers. At the same time, token prices vary according to speed, specialization and the economic value of the result. The third edition of the AI radar categorizes the emerging token economy: How is billing shifting from subscription to consumption? Why does a favorable token price reveal little about the actual costs? And why is token consumption alone the wrong measure of AI value creation?
The article Frontier Radar #3: How agentic AI is turning tokens into a business metric appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3581684/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Frontier+Radar+%233%3A+How+agentic+AI+is+turning+tokens+into+a+business+metric/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581684/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Frontier+Radar+%233%3A+How+agentic+AI+is+turning+tokens+into+a+business+metric/</guid>
<pubDate>Mon, 08 Jun 2026 15:54:16 +0200</pubDate>
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<title><![CDATA[Anthropic’s Complete Guide to Claude Skills Building]]></title> 
<description><![CDATA[This guide covers the complete picture: what skills are technically, how to plan and design them, the exact file structure and naming rules, how to write instructions that Claude follows reliably, a complete working skill built from scratch, how to test and distribute, and what to do when things go wrong. ]]></description>
<link>https://tsecurity.de/de/3581683/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+Complete+Guide+to+Claude+Skills+Building/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581683/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+Complete+Guide+to+Claude+Skills+Building/</guid>
<pubDate>Mon, 08 Jun 2026 16:00:02 +0200</pubDate>
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<title><![CDATA[Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks]]></title> 
<description><![CDATA[What Fourier analysis misses
The post Sequential Fitting: A Different Perspective on the Spectral Bias of Neural Networks appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3581649/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sequential+Fitting%3A+A+Different+Perspective+on+the+Spectral+Bias+of+Neural+Networks/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581649/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sequential+Fitting%3A+A+Different+Perspective+on+the+Spectral+Bias+of+Neural+Networks/</guid>
<pubDate>Mon, 08 Jun 2026 15:30:00 +0200</pubDate>
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<title><![CDATA[Google Protocol Buffers flaw turns schemas into shells]]></title> 
<description><![CDATA[

					  
						




A widely used JavaScript implementation of Google&rsquo;s&nbsp;Protocol Buffers&nbsp;format is placing too much trust in untrusted data, exposing affected applications to remote code execution and other attacks.



Researchers at Cyera have disclosed six vulnerabilities affecting &ldquo;protobuf.js,&rdquo; all stemming from the library&rsquo;s handling of schema and metadata. Attackers could exploit an input validation oversight to insert malicious data and influence an application&rsquo;s behavior.



Protocol Buffers is a technology for packaging data in a compact, structured format to streamline the exchange of information between different applications. The protobuf.js library reportedly receives more than 50 million weekly downloads. It is commonly pulled into applications indirectly through dependencies such as gRPC tooling, Google Cloud libraries, and other frameworks, making it difficult for organizations to track.



Researchers disclosed six&nbsp;CVEs covering remote code execution, denial-of-service (DoS) conditions, prototype pollution, prototype injection, and code-generation issues.



&ldquo;While exploitation of these vulnerabilities generally requires specific conditions, those conditions are increasingly common in data and AI ecosystems that routinely exchange data, schemas, and configuration files across services, repositories, cloud platforms, and third-party integrations,&rdquo; Cyera researchers Assaf Morag and Vladimir Tokarev said in a blog&nbsp;post.



Patches are available for both protobuf.js and protonufjs-cli, the project&rsquo;s command-line code generation tools.



Metadata capable of writing code



The most significant of the bugs is a code-generation flaw tracked as&nbsp;CVE-2026-44291.



According to Cyera, protobuf.js dynamically generates encoder and decoder functions and compiles them using JavaScript&rsquo;s Function () constructor. Under specific conditions, an attacker can manipulate schema-derived information so that data intended to describe a message instead becomes executable code.



The researchers demonstrated an attack chain in which prototype pollution is used to trick protobuf.js into accepting attacker-controlled values as legitimate protobuf types. Those values are then incorporated into the generated code and executed within the Node.js process.



The impact extends beyond runtime applications. A separate code-injection issue, tracked as&nbsp;CVE-2026-44295, affects the pbjs command-line tool, where crafted schema names can be embedded into generated JavaScript files and executed when those files are later imported.



While successful exploitation requires specific preconditions, such as the ability to influence protobuf schemas or descriptors, researchers noted that modern software increasingly exchanges schemas, descriptors, and configuration files across repositories, cloud environments, APIs, and third-party integrations, making those assumptions less restrictive than they once were.



The remaining vulnerabilities are less severe. Researchers identified a prototype injection (CVE-2026-44292) flaw that can alter application behavior by tampering with inherited object properties, as well as denial-of-services (DoS) bugs (CVE-2026-44289,&nbsp;CVE-2026-44290, and&nbsp;CVE-2026-44294) that can crash or exhaust application resources using maliciously crafted inputs.



Patching advised as supply chain risk looms



The researchers noted that protobuf.js is often consumed as a transitive dependency, meaning organizations may be exposed without realizing the library is present in their software stack. As schemas move through automated development pipelines and software&nbsp;supply chains, components traditionally viewed as passive data can become a pathway for attacks.



&ldquo;Development teams routinely accept code contributions, integrate third-party components, and automatically process files through CI/CD pipelines,&rdquo; they explained. &ldquo;We found that under certain conditions, a malicious protobuf schema could be introduced into this workflow and ultimately executed within trusted build environments.&rdquo;



A compromise at this stage could have downstream impacts on products, customers, and business operations, they added.



The vulnerabilities affect protobuf.js versions 7.5.5 and earlier, along with versions 8.0.0 and 8.0.1, as well as vulnerable releases of protobuf.js-cli. Patches are available in protobuf.js 7.5.6 and 8.0.2, while protobuf.js-cli users are advised to upgrade to versions 1.2.1 or 2.0.2.



The article originally appeared on CSO.

 ]]></description>
<link>https://tsecurity.de/de/3581522/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+Protocol+Buffers+flaw+turns+schemas+into+shells/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581522/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+Protocol+Buffers+flaw+turns+schemas+into+shells/</guid>
<pubDate>Mon, 08 Jun 2026 14:29:31 +0200</pubDate>
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<title><![CDATA[AI cracked an Erdős math problem. Now experts want guardrails]]></title> 
<description><![CDATA[The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to everyone. ]]></description>
<link>https://tsecurity.de/de/3581521/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+cracked+an+Erd%C5%91s+math+problem.+Now+experts+want+guardrails/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581521/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+cracked+an+Erd%C5%91s+math+problem.+Now+experts+want+guardrails/</guid>
<pubDate>Mon, 08 Jun 2026 15:00:00 +0200</pubDate>
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<title><![CDATA[Artists are making ‘anti-slop’ to rebel against AI: ‘It’s been rammed down our throats’]]></title> 
<description><![CDATA[In response to AI&rsquo;s hyperrealism, artists and creatives are gravitating toward the homespun and imperfectEarlier this year, a group of film-makers, commercial directors and AI industry influencers gathered in New York City for the Runway AI Summit &ndash; a daylong hype-fest, trumping up the potential of this new technology. During one talk, Rob Wrubel, co-founder and managing partner at San Francisco ad firm Silverside, talked up his work on the Coca-Cola company&rsquo;s AI-generated 2025 Holiday Caravan ad. &ldquo;What&rsquo;s incredible about AI,&rdquo; Wrubel said, &ldquo;is that you can go from script to production is just two weeks!&rdquo;What Wrubel failed to mention was that the ad &ndash; with its computerized polar bears and fake-looking trundling delivery trucks &ndash; was widely despised by pretty much anyone who saw it. Indeed, the public distaste for the campaign became its own news story, spawning headlines like &ldquo;People really don&rsquo;t like Coke&rsquo;s AI holiday commercial&rdquo; and &ldquo;Coca-Cola&rsquo;s New AI Holiday Ad is a Sloppy Eyesore&rdquo;. It may indeed have been quickly conceived &ndash; and it looked like it. Reached for comment about the backlash, Wrubel admits: &ldquo;The conversation around the ad became almost as important as the ad itself because it surfaced questions the entire creative industry is wrestling with right now.&rdquo; Continue reading... ]]></description>
<link>https://tsecurity.de/de/3581520/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Artists+are+making+%E2%80%98anti-slop%E2%80%99+to+rebel+against+AI%3A+%E2%80%98It%E2%80%99s+been+rammed+down+our+throats%E2%80%99/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581520/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Artists+are+making+%E2%80%98anti-slop%E2%80%99+to+rebel+against+AI%3A+%E2%80%98It%E2%80%99s+been+rammed+down+our+throats%E2%80%99/</guid>
<pubDate>Mon, 08 Jun 2026 15:00:25 +0200</pubDate>
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<title><![CDATA[The Download: how the World Cup ball will fly and OpenAI’s “super app”]]></title> 
<description><![CDATA[This is today&rsquo;s edition of The Download, our weekday newsletter that provides a daily dose of what&rsquo;s going on in the world of technology. Why this year&rsquo;s World Cup ball may not fly as far Much is new about this month&rsquo;s FIFA World Cup tournament. It hosts more teams than ever before. It&rsquo;s the first&hellip; ]]></description>
<link>https://tsecurity.de/de/3581471/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Download%3A+how+the+World+Cup+ball+will+fly+and+OpenAI%E2%80%99s+%E2%80%9Csuper+app%E2%80%9D/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581471/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Download%3A+how+the+World+Cup+ball+will+fly+and+OpenAI%E2%80%99s+%E2%80%9Csuper+app%E2%80%9D/</guid>
<pubDate>Mon, 08 Jun 2026 14:10:00 +0200</pubDate>
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<title><![CDATA[Aviva deploys AI to stop £230M in sophisticated insurance fraud]]></title> 
<description><![CDATA[Aviva has uncovered a record &pound;230 million in insurance fraud claims and is using AI tools to counter the growing problem. The battleground has changed, and the culprits are also coming armed with a new generation of tools. We&rsquo;re now in an environment where AI is being used not just to defend against fraud, but [&hellip;]
The post Aviva deploys AI to stop &pound;230M in sophisticated insurance fraud appeared first on AI News. ]]></description>
<link>https://tsecurity.de/de/3581470/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Aviva+deploys+AI+to+stop+%C2%A3230M+in+sophisticated+insurance+fraud/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581470/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Aviva+deploys+AI+to+stop+%C2%A3230M+in+sophisticated+insurance+fraud/</guid>
<pubDate>Mon, 08 Jun 2026 14:19:38 +0200</pubDate>
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<title><![CDATA[Microsoft tightens rules for conflict zones after investigation into Israel's military use of Azure]]></title> 
<description><![CDATA[
        Microsoft has wrapped up its investigation into Israel&#039;s military use of its Azure cloud and is rolling out new human rights checks. But the report leaves key questions unanswered: the actual contents of the military data were never examined, and staff departures at Microsoft Israel go unmentioned. At the core of the story: cloud infrastructure, mass surveillance, and AI-powered target selection in Gaza.
The article Microsoft tightens rules for conflict zones after investigation into Israel&#039;s military use of Azure appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3581469/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+tightens+rules+for+conflict+zones+after+investigation+into+Israel%27s+military+use+of+Azure/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581469/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+tightens+rules+for+conflict+zones+after+investigation+into+Israel%27s+military+use+of+Azure/</guid>
<pubDate>Mon, 08 Jun 2026 14:25:29 +0200</pubDate>
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<title><![CDATA[The Polynomial That Fixed 30 Years of Cloth Simulation]]></title> 
<description><![CDATA[The clipping bug has lived in every 3D simulation pipeline for three decades. Here is exactly why it happens, how the math breaks, and how swapping one equation fixes it; as well as the python code to see it for yourself!
The post The Polynomial That Fixed 30 Years of Cloth Simulation appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3581468/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Polynomial+That+Fixed+30+Years+of+Cloth+Simulation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581468/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Polynomial+That+Fixed+30+Years+of+Cloth+Simulation/</guid>
<pubDate>Mon, 08 Jun 2026 14:30:00 +0200</pubDate>
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<title><![CDATA[Instagram AI chatbot breach may have affected over to 20,000 accounts, Meta discloses]]></title> 
<description><![CDATA[
        Meta has put a number on the security breach in its AI support chatbot for Instagram for the first time: at least 20,225 accounts were compromised. For nearly seven weeks, the system sent password reset links to arbitrary email addresses without verifying they belonged to the account. The chatbot had previously been marketed as a win for account security.
The article Instagram AI chatbot breach may have affected over to 20,000 accounts, Meta discloses appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3581467/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Instagram+AI+chatbot+breach+may+have+affected+over+to+20%2C000+accounts%2C+Meta+discloses/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581467/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Instagram+AI+chatbot+breach+may+have+affected+over+to+20%2C000+accounts%2C+Meta+discloses/</guid>
<pubDate>Mon, 08 Jun 2026 14:34:03 +0200</pubDate>
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<title><![CDATA[The AI Agents Stack (2026 Edition)]]></title> 
<description><![CDATA[The following article originally appeared on Paolo Perrone&rsquo;s The AI Engineer Substack and is being reposted here with the author&rsquo;s permission. Your team picks LangGraph for a customer support chatbot. Three weeks in, you&rsquo;ve got 14 nodes in a state graph, a custom checkpointer writing to Redis, and retry logic for tool calls that fail [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3581437/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+AI+Agents+Stack+%282026+Edition%29/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581437/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+AI+Agents+Stack+%282026+Edition%29/</guid>
<pubDate>Mon, 08 Jun 2026 12:56:59 +0200</pubDate>
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<title><![CDATA[Trump Eyes a Piece of A.I. Giants]]></title> 
<description><![CDATA[The president has publicly weighed the government taking stakes in artificial intelligence giants, as his position on regulating the industry shifts. ]]></description>
<link>https://tsecurity.de/de/3581436/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Trump+Eyes+a+Piece+of+A.I.+Giants/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581436/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Trump+Eyes+a+Piece+of+A.I.+Giants/</guid>
<pubDate>Mon, 08 Jun 2026 14:12:34 +0200</pubDate>
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<title><![CDATA[5 Must-Know Python Concepts for AI Engineers]]></title> 
<description><![CDATA[In this article, we will explore five critical Python concepts that every AI engineer must know to build scalable, secure, and robust systems. ]]></description>
<link>https://tsecurity.de/de/3581410/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/5+Must-Know+Python+Concepts+for+AI+Engineers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581410/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/5+Must-Know+Python+Concepts+for+AI+Engineers/</guid>
<pubDate>Mon, 08 Jun 2026 14:00:35 +0200</pubDate>
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<title><![CDATA[Moonshot AI targets a $30 billion valuation, more than six times its late-2025 worth]]></title> 
<description><![CDATA[
        Moonshot AI, the Chinese company behind the Kimi chatbot, is looking for a valuation of up to $30 billion in a new funding round.
The article Moonshot AI targets a $30 billion valuation, more than six times its late-2025 worth appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3581330/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Moonshot+AI+targets+a+%2430+billion+valuation%2C+more+than+six+times+its+late-2025+worth/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581330/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Moonshot+AI+targets+a+%2430+billion+valuation%2C+more+than+six+times+its+late-2025+worth/</guid>
<pubDate>Mon, 08 Jun 2026 13:22:10 +0200</pubDate>
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<title><![CDATA[The weather and climate science AI revolution isn’t revolutionary]]></title> 
<description><![CDATA[Machine learning has its limits&mdash;how is it being used? ]]></description>
<link>https://tsecurity.de/de/3581233/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+weather+and+climate+science+AI+revolution+isn%E2%80%99t+revolutionary/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581233/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+weather+and+climate+science+AI+revolution+isn%E2%80%99t+revolutionary/</guid>
<pubDate>Mon, 08 Jun 2026 13:00:58 +0200</pubDate>
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<title><![CDATA[Majority of US’s new AI datacenters to be built on drought-hit land]]></title> 
<description><![CDATA[Guardian analysis finds facilities to be built in some of the driest areas as outcry grows over water needed to power AIA record-shattering drought has racked much of the US. But the artificial intelligence industry is pushing ahead regardless, with the majority of planned datacenters set to be built in drought-ridden locations, a Guardian analysis has found.About two-thirds of upcoming datacenters, which typically require a large amount of water to operate, are set to be built in places that have been among the driest in the country over the past year. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3581203/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Majority+of+US%E2%80%99s+new+AI+datacenters+to+be+built+on+drought-hit+land/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581203/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Majority+of+US%E2%80%99s+new+AI+datacenters+to+be+built+on+drought-hit+land/</guid>
<pubDate>Mon, 08 Jun 2026 13:00:23 +0200</pubDate>
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<title><![CDATA[This Week in AI: Production Viability]]></title> 
<description><![CDATA[On this week&rsquo;s episode, host and the founder of AI advisory firm Intelligence Briefing Andreas Welsch brought together Maya Mikhailov, cofounder and CEO of Savvi AI, and Doug Shannon, generative AI and intelligent automation leader, to cover a handful of interconnected topics that practitioners are navigating right now: OpenAI&rsquo;s push into personal finance, the role [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3581173/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+Week+in+AI%3A+Production+Viability/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581173/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+Week+in+AI%3A+Production+Viability/</guid>
<pubDate>Fri, 05 Jun 2026 17:55:20 +0200</pubDate>
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<title><![CDATA[Weis Markets adds Instacart AI-powered shopping carts to stores]]></title> 
<description><![CDATA[Weis Markets is adding Instacart&rsquo;s AI-powered shopping carts, Caper Carts, to select stores in Pennsylvania, bringing digital coupons, loyalty features, and repeat-purchase recommendations into the grocery aisle. The Pennsylvania-based grocery chain is working with Instacart to deploy the smart carts, which include cameras, certified scales, location systems, and a touchscreen. According to Instacart, Caper Carts [&hellip;]
The post Weis Markets adds Instacart AI-powered shopping carts to stores appeared first on AI News. ]]></description>
<link>https://tsecurity.de/de/3581070/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Weis+Markets+adds+Instacart+AI-powered+shopping+carts+to+stores/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581070/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Weis+Markets+adds+Instacart+AI-powered+shopping+carts+to+stores/</guid>
<pubDate>Mon, 08 Jun 2026 12:00:00 +0200</pubDate>
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<title><![CDATA[Yes, Michelle Obama knows a lot about resilience. She still shouldn’t be lecturing gen Z about it | Emma Beddington]]></title> 
<description><![CDATA[It&rsquo;s decades since the former US first lady was an employee. The world of work she grew up in has long goneUh oh, Michelle Obama has been advising gen Z on navigating work. &ldquo;One thing that&rsquo;s important is to learn how to do something you don&rsquo;t like to do and be good at it,&rdquo; she told the audience at a podcast recording in London. &ldquo;Every experience &ndash; the bad boss, the boring assistant job, the job you thought that you weren&rsquo;t appreciated, the one that didn&rsquo;t give you the assignment you wanted when you wanted it &ndash; all of that is learning to be resilient.&rdquo;The podcast is called IMO, and she is entitled to her opinion, and it&rsquo;s true that awful bosses, crap jobs and professional setbacks are inevitable, unpleasant learning experiences. Plus, Obama has navigated exceptionally tricky circumstances and put up with endless unjustified flak &ndash; she has plenty to teach everyone about grace under pressure. But there&rsquo;s an implicit criticism of gen Z workers in her words. You see that a lot (they&rsquo;re undisciplined! They won&rsquo;t use the phone! They want mental health days!) and it feels unfair and unhelpful. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3581038/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Yes%2C+Michelle+Obama+knows+a+lot+about+resilience.+She+still+shouldn%E2%80%99t+be+lecturing+gen+Z+about+it+%7C+Emma+Beddington/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581038/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Yes%2C+Michelle+Obama+knows+a+lot+about+resilience.+She+still+shouldn%E2%80%99t+be+lecturing+gen+Z+about+it+%7C+Emma+Beddington/</guid>
<pubDate>Mon, 08 Jun 2026 12:00:22 +0200</pubDate>
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<title><![CDATA[Bernie Sanders’ AI sovereign wealth fund plan is good. But we think this is better | Nathan E Sanders  and Bruce Schneier]]></title> 
<description><![CDATA[While we do not outright oppose the taking of AI company stock, or of a US a sovereign wealth fund, there are better ways to achieve the senator&rsquo;s goalsLet no one accuse Bernie Sanders of ducking the big questions. Writing in the New York Times last week, the senator asked: &ldquo;Will the future of humanity be determined by a handful of billionaires who have promoted and developed AI, with virtually no democratic input, who stand to become even richer and more powerful than they are today?&rdquo;We agree entirely that this is one of the most potent questions facing global democracy today. Our book, Rewiring Democracy, surveys the emerging uses for and impacts of AI in democracy around the world and reaches the same conclusion: that the most urgent risk posed by AI is the concentration of power, wealth and control among tech oligarchs. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3581037/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Bernie+Sanders%E2%80%99+AI+sovereign+wealth+fund+plan+is+good.+But+we+think+this+is+better+%7C+Nathan+E+Sanders++and+Bruce+Schneier/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3581037/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Bernie+Sanders%E2%80%99+AI+sovereign+wealth+fund+plan+is+good.+But+we+think+this+is+better+%7C+Nathan+E+Sanders++and+Bruce+Schneier/</guid>
<pubDate>Mon, 08 Jun 2026 12:00:22 +0200</pubDate>
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<title><![CDATA[Why this year’s World Cup ball may not fly as far]]></title> 
<description><![CDATA[Much is new about this month&rsquo;s upcoming FIFA World Cup tournament, which will be held in the US, Canada, and Mexico. It hosts more teams than ever before. It&rsquo;s the first to occur in three different host countries. And, like predecessor cups for over half a century, it will employ a soccer ball with a&hellip; ]]></description>
<link>https://tsecurity.de/de/3580946/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+this+year%E2%80%99s+World+Cup+ball+may+not+fly+as+far/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580946/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+this+year%E2%80%99s+World+Cup+ball+may+not+fly+as+far/</guid>
<pubDate>Mon, 08 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA[A.I. Degree Programs Surge as Colleges Seek Students and Relevance]]></title> 
<description><![CDATA[Colleges from North Dakota to New Jersey are trying to get students to sign up for A.I. degrees. What they teach varies widely. ]]></description>
<link>https://tsecurity.de/de/3580945/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A.I.+Degree+Programs+Surge+as+Colleges+Seek+Students+and+Relevance/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580945/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A.I.+Degree+Programs+Surge+as+Colleges+Seek+Students+and+Relevance/</guid>
<pubDate>Mon, 08 Jun 2026 11:00:15 +0200</pubDate>
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<title><![CDATA[Want an A.I. Degree? Here’s What You Should Think About.]]></title> 
<description><![CDATA[The programs are popping up on campuses across America. What they teach varies. ]]></description>
<link>https://tsecurity.de/de/3580944/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Want+an+A.I.+Degree%3F+Here%E2%80%99s+What+You+Should+Think+About./</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580944/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Want+an+A.I.+Degree%3F+Here%E2%80%99s+What+You+Should+Think+About./</guid>
<pubDate>Mon, 08 Jun 2026 11:00:21 +0200</pubDate>
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<title><![CDATA[Why Your Next Diagnosis May Be Guided by an A.I. Helper]]></title> 
<description><![CDATA[OpenEvidence, a fast-growing start-up, is using artificial intelligence to help doctors find answers to clinical questions for diagnosis and treatment. ]]></description>
<link>https://tsecurity.de/de/3580943/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+Your+Next+Diagnosis+May+Be+Guided+by+an+A.I.+Helper/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580943/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Why+Your+Next+Diagnosis+May+Be+Guided+by+an+A.I.+Helper/</guid>
<pubDate>Mon, 08 Jun 2026 11:00:39 +0200</pubDate>
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<title><![CDATA[The A.I. Classroom Is Quiet. Way Too Quiet.]]></title> 
<description><![CDATA[A.I. tutoring is seductive, but ultimately ineffective. ]]></description>
<link>https://tsecurity.de/de/3580942/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+A.I.+Classroom+Is+Quiet.+Way+Too+Quiet./</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580942/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+A.I.+Classroom+Is+Quiet.+Way+Too+Quiet./</guid>
<pubDate>Mon, 08 Jun 2026 11:00:43 +0200</pubDate>
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<title><![CDATA[Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy, and Up to 5x Faster Long-Audio Transcription]]></title> 
<description><![CDATA[Microsoft AI has released MAI-Transcribe-1.5, the second iteration of its in-house speech-to-text family. The model covers 43 languages, adds keyword (entity) biasing for domain-specific terms, posts a 2.4% Word-Error-Rate on the Artificial Analysis leaderboard, and transcribes an hour of audio in under 15 seconds. It is generally available in Azure AI Foundry.
The post Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy, and Up to 5x Faster Long-Audio Transcription appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3580894/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+AI+Introduces+MAI-Transcribe-1.5%3A+2.4%25+WER+on+Artificial+Analysis%2C+Best-in-Class+FLEURS+Accuracy%2C+and+Up+to+5x+Faster+Long-Audio+Transcription/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580894/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+AI+Introduces+MAI-Transcribe-1.5%3A+2.4%25+WER+on+Artificial+Analysis%2C+Best-in-Class+FLEURS+Accuracy%2C+and+Up+to+5x+Faster+Long-Audio+Transcription/</guid>
<pubDate>Mon, 08 Jun 2026 10:56:49 +0200</pubDate>
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<title><![CDATA[10 MCP servers to connect LLMs with databases]]></title> 
<description><![CDATA[

					  
						




Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to devops tools, MCP servers are enabling powerful, AI-powered development and operations capabilities through natural language commands.



Nowhere is this more true than in the world of databases. Most major database platforms now support agentic access through MCP servers. Using an MCP server for databases, you and your AI agent proxies can perform lookups, create and update data, and perform administrative tasks without you having to write SQL by hand.



The MCP server could also guide your LLMs to write new code or build automations that align with your database schema, like its tables, structure, and fields, as well as embeddings, indexes, and metadata. It could also aid debugging by enabling faster queries to surface data issues or misconfigurations, along with plenty of other possible use cases.



Below, we&rsquo;ll cover official MCP servers from some of the top platform options across major database styles. Though maturity varies, the MCP servers discussed below represent some of the best vendor-backed offerings available today across relational SQL, NoSQL, graph, vector, and data warehouse systems.



These servers can be used by any MCP-compatible tool, IDE, or agent, whether it&rsquo;s Claude Code, Codex, Cursor, Gemini CLI, Google Antigravity, VS Code, Windsurf, or something else. Adding them is typically simple, often involving a lightweight JSON addition to your MCP configuration file.



Amazon Aurora MCP Servers



MySQL and PostgreSQL are the world&rsquo;s most widely-used open source databases. However, in both cases, there is no canonical MCP server&mdash;what we see are different MCP servers emerging across vendors. One of these vendors is Amazon Web Services (AWS), which offers official MCP servers for Amazon Aurora, its managed relational database service compatible with both MySQL and PostgreSQL.



According to the documentation on GitHub, the Amazon Aurora MySQL MCP Server can be used to convert natural language commands into MySQL-compatible SQL queries, which can then be executed against Aurora MySQL databases. Similarly, the Aurora Postgres MCP Server provides MCP tools for working on PostgreSQL databases. The Aurora DSQL MCP Server does the same for distributed Postgres databases.



AWS provides a growing portfolio of official MCP servers across its product line, including MCP servers for other Amazon database platforms like DynamoDB, ElastiCache, and Redshift. If you&rsquo;re a heavy AWS shop and you want to enable LLM interactions with your data, these are sensible choices.



BigQuery MCP Server



BigQuery is Google&rsquo;s cloud-based data analytics platform, and a popular data source for AI applications. BigQuery users with API access configured can also utilize the BigQuery MCP Server to interact with the platform using MCP-compatible AI clients.



Using the remote BigQuery MCP Server, engineers can generate and execute queries on data sources, or return metadata on datasets, tables, and schema. This can be done with a simple natural language prompt like &ldquo;List the datasets in project PROJECT_ID.&rdquo; Results are filterable by region, data set ID, column name, and more.



As part of Google&rsquo;s fully-managed, remote-hosted MCP portfolio, the BigQuery MCP Server provides some peace of mind regarding security, maintenance, and ease of use for distributed teams. The MCP tools are subject to some limitations, however, in terms of query result size, processing time, and other factors. If you&rsquo;re using BigQuery and you want more agentic control, you&rsquo;ll want to check this one out.



Elastic Agent Builder



Another important database category includes platforms designed for keyword and semantic search. In this space, Elasticsearch is commonly deployed. Instead of providing a single MCP server, Elasticsearch provides the Elastic Agent Builder, which is a more comprehensive framework aimed at agentic workflows.



Using Elastic Agent Builder, you can chat with an agent to retrieve data context from Elasticsearch data and extend it into various environments. The Agent Builder itself includes an MCP server endpoint for programmability and exposing the agent to other clients.



Unlike others on this list, this is not a direct MCP interface to raw Elasticsearch APIs. Instead, it&rsquo;s an interface that exposes skills from the agent platform. This should also not be confused with the Elasticsearch MCP Server, released in mid-2025, which has since been deprecated.



A possible downside of using this utility is that it includes an additional layer between your IDE or agent and the data you&rsquo;re searching. The agent setup requires a higher subscription and takes additional steps to configure compared to other MCP servers.



That said, if you want an extensible common layer to interact with both Elasticsearch and external MCP servers, while centralizing responsibilities like permissions, this is an interesting proposition.



MCP servers for Neo4j



Graph databases are another key NoSQL database type these days, specializing in using nodes and edges to accelerate queries of highly interconnected data. Of these, Neo4j is a popular graph database option.



The Official MCP Server for Neo4j works with all kinds of Neo4j deployment (desktop, sandbox, self-managed, and the managed Neo4j Aura cloud service), and allows LLM-based clients to retrieve graph schema, execute read and write statements, execute graph algorithms, and more.



In addition, several other MCP servers for Neo4j are available from Neo4j Labs. These have specialized uses, such as generating Cypher queries from natural language, maintaining an in-memory graph database, modeling and visualizing graph, and interacting with the Neo4j Aura API.



The first MCP server for Neo4j was developed in December 2024. If you&rsquo;re an avid Neo4j user and want to experiment with interacting with your graph databases in a chat-infused way, these stand as an interesting platform of servers.



MCP Toolbox for Databases



Google&rsquo;s MCP Toolbox for Databases is a notable MCP server because it&rsquo;s a popular catch-all for various database types. Unlike the other entries on this list, this server connects LLMs not to a single managed database, but unifies LLM access to multiple systems. The open source utility ships with pre-built configurations for nearly 30 databases including PostgreSQL, MySQL, SQL Server, Oracle Database, MongoDB, Redis, Neo4j, and Snowflake, as well as the databases in Google Cloud.



Once you define data sources in a tools.yaml file, you can use MCP Toolbox to perform structured queries or semantic searches against databases directly from within an IDE or agentic client using plain English. MCP tools translate commands into actions like list_tables and execute_sql.



MCP Toolbox for Databases is mature, originally built as a generative AI utility and later re-worked for MCP-style workflows. It offers numerous download, configuration, and interaction methods.



If you&rsquo;re using a variety of databases on Google Cloud and elsewhere and you want an &ldquo;all-in-one&rdquo; MCP server, MCP Toolbox for Databases is a great place to start.



MongoDB MCP Server



MongoDB is the popular NoSQL document-oriented database. The creators of MongoDB have released an official MCP server that works with the open-source database as well as the company&rsquo;s cloud-hosted MongoDB Atlas database platform.



The MongoDB MCP Server provides a number of tools to interact with MongoDB. You can query the database, return information on collections, create or remove collections or indexes, gather statistics on database usage, and more. Other tools enable MongoDB Atlas operations, like creating users or clusters, returning cluster data, and other functions.



The server&rsquo;s tools are read-only by default but can be switched to allow write capabilities. It can be used locally, but also supports Streamable HTTP transport for remote servers, although that comes with greater security concerns.



For those using MongoDB and wanting to hook their AI-enabled IDE or CLI up with more automated powers, the official MongoDB MCP Server is worth checking out.



Pinecone MCP server



Among vector-native databases, Pinecone stands as a strong, widely used option with a well-designed API and comprehensive SDKs. The Pinecone MCP server extends this experience, allowing users to query its documentation and execute functionality via AI agents and AI-enabled IDEs.



To date, the Pinecone MCP server consists of nine MCP tools. These cover read-only actions, like knowledge gathering via the Pinecone official documentation and querying vector records, index metadata, configurations, and statistics. It also allows for write operations like updating records and creating new indexes.



Released in mid-2025, the Pinecone MCP server is one of the more complete early implementations, with easy configuration and installation.



For those using Pinecone who want to test new LLM-assisted workflows for creating indexes with embeddings, performing reranking, or testing results using natural language commands, the Pinecone MCP server is worth trying out.



Redis MCP



An ultra-fast in-memory database, Redis is commonly used for caching, real-time analytics, and other latency-sensitive use cases. And as you might have guessed, the company behind the Redis database provides an official MCP server. The server allows read, query, and write capabilities.



Developers can use Redis MCP from an LLM client to perform high-level actions to analyze, reference, or embed Redis data and interact with the Redis server within their prompts. The documentation suggests some example prompts for common use cases, such as &ldquo;Cache this item,&rdquo; &ldquo;How many keys does my database have?,&rdquo; and &ldquo;What is user:1&rsquo;s email?&rdquo;



Unlike other MCP servers, which only allow a slice of platform capabilities, Redis MCP offers full Redis support. This enables working with Redis constructs such as hashes, lists, sets, sorted sets, streams, and more, according to the GitHub repository.



One possible drawback is that Redis MCP has yet to support Streamable HTTP transport. Until this is developed, the server is constrained to local deployment. But for those seeking a local MCP server to work with Redis data, this is the best choice.



Snowflake MCP Server



Snowflake is a cloud-hosted, AI-enabled data platform widely used in enterprise contexts for data warehousing, data analytics, and data engineering purposes. Compared to other data storage systems, Snowflake is unique in that it&rsquo;s more fully managed and combines structured and non-structured data types.



The Snowflake MCP Server, available on GitHub, can be used to perform many of the standard Snowflake platform operations. This includes a &ldquo;fuzzy&rdquo; search of all records via Snowflake&rsquo;s Cortex Search and structured data semantic lookups using Cortex Analyst.



Other abilities include object management operations like creating, updating, and deleting records. The server also can invoke other agentic-designed capabilities, like the ability to generate and execute SQL statements against back-end databases.



Snowflake MCP Server is well-thought-out and well-documented, with walkthroughs for various agent and deployment patterns. Those already building with Snowflake should find it complements the mechanics they already employ.



Supabase MCP Server



A longtime open-source favorite, PostgreSQL is one of the most popular and trusted object-relational SQL-based database systems. With an active open source community, Postgres has been maturing for decades. Given its open source nature, there isn&rsquo;t a single &ldquo;official&rdquo; MCP server for the platform. Anthropic built an original reference implementation, but it&rsquo;s now archived.



Instead, database platforms built on PostgreSQL provide different flavors of MCP servers, with a range of vendor neutrality and specificity. One notable option is the Supabase MCP Server, provided by Supabase, a cloud-based &ldquo;back end as a service&rdquo; and Postgres development platform.



Supabase MCP Server connects AI agents with Supabase projects, allowing engineers to issue natural language commands to manage tables, query data, get logs, fetch configuration information, and more. The Supabase MCP Server is pre-1.0 release and some features are still experimental.



If you&rsquo;re an engineer using Supabase and looking for an MCP server to connect your AI assistant with your Postgres databases, this is a good tool to test out.



Other MCP servers for databases to consider



So far, we&rsquo;ve reviewed official, vendor-backed MCP servers from some of the most-adopted managed databases. However, numerous MCP servers exist across other database platforms and types.



One MCP server that aggregates LLM access across various database types is DBHub, which works with MySQL, PostgreSQL, SQL Server, MariaDB, and SQLite. Developed by Bytebase, DBHub is described as a zero-dependency, token-efficient MCP server.



For SQL, the options are nearly endless. Official servers exist for Microsoft Azure SQL and DuckDB. PulseMCP catalogs more than 100 MCP servers for MySQL, although most are unofficial, solo-creator open source projects. Of these, one of the most starred is MCP Server for MySQL, developed by full-stack developer Ben Borla and optimized for Claude Code.



For Postgres, notable alternatives to Supabase include pgEdge Postgres MCP, Neon MCP server, and Postgres MCP Pro. For vector databases, others beyond Pinecone have been quick to adopt MCP as well, including Weaviate and Milvus.



Using MCP for databases: what to watch out for



Before diving into MCP servers for enterprise databases, it&rsquo;s important to understand the security risks. For instance, prompt injection remains an unsolved problem, so it&rsquo;s recommended to limit permissions for SQL statements.



To mitigate this, Supabase recommends enabling AI client settings that require manual approval for each tool call before execution. Experts also recommend assigning only the minimum permissions required and avoiding exposure of sensitive data like API credentials. Due diligence around authentication and authorization is especially important when hosting remote servers.



Lastly, to avoid shadow IT, it&rsquo;s becoming common practice to catalog the internal MCP servers you use, even for experimental projects. For this, experts recommend an MCP registry that documents approved servers. An MCP registry improves both MCP server discovery and security awareness.

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<link>https://tsecurity.de/de/3580893/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/10+MCP+servers+to+connect+LLMs+with+databases/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580893/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/10+MCP+servers+to+connect+LLMs+with+databases/</guid>
<pubDate>Mon, 08 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA[Making sense of too much code]]></title> 
<description><![CDATA[
		
					  
						




Anyone can build an app now. But nobody seems to care.



Well, not nobody. VCs keep funding startups that add AI to, well, everything. But users aren&rsquo;t buying the massive influx of new apps. In a chart shared by Jen Zhu Scott based on the new National Bureau of Economic Research&rsquo;s working paper &ldquo;Writing Code vs. Shipping Code,&rdquo; iOS app releases have exploded since the advent of agentic AI. That would perhaps be cause for celebration had app reviews not declined during this same period, and apps with significant usage have stayed essentially flat.



In other words, more apps but almost nobody new showing up to use them.



For those of us that grew up in open source, it&rsquo;s a familiar problem. The greater the abundance of code, the greater the need to help would-be customers navigate it through marketing (including branding), sales, etc. AI is creating so much noise, in terms of new code, new products, etc., that the real work has shifted to taste-making.



Getting more but not using more



I&rsquo;ve been saying for a while that developer productivity isn&rsquo;t about producing more code faster. Or at least it shouldn&rsquo;t be. Productivity is about producing well-architected, secure, maintainable code that solves a problem someone actually has.



That&rsquo;s a very different thing. It&rsquo;s not something AI can fix; at least, not yet.



Charity Majors put it more bluntly in a post I wrote in 2024: &ldquo;Writing code is the easiest part of software engineering,&rdquo; she said. The harder parts are figuring out what to build, integrating it into a larger system, validating that it works, maintaining it over time, and getting humans to trust it enough to use it.



Turns out the harder parts are really hard. Mert Demirer, Leon Musolff, and Liyuan Yang tracked more than 100,000 GitHub developers alongside their AI usage telemetry. Autocomplete, interactive agents, and autonomous agents each ramped raw coding activity, with cumulative effects on commits of 40%, 140%, and 180%. That sounds great until you look how the gains attenuate the closer you get to actual users. For example, that 180% jump in commits became roughly 50% more projects and just 30% more actual releases. The report&rsquo;s authors call this the weak-link problem: The strong link (writing code) got much stronger, while the weak links (everything else humans have to do) didn&rsquo;t. The estimated elasticity of substitution between AI and human effort is 0.25, which is economist for &ldquo;these complement each other, but they don&rsquo;t replace each other.&rdquo;



When the authors checked four major app marketplaces, they found a bump in new apps but no increase in total usage. In other words, we&rsquo;re getting better at creating things with AI&rsquo;s help; apparently we&rsquo;re not good at turning that into user interest. User attention (and budget) is finite. The hard part is to figure out how to get users to care enough to pay (with their time or their money).



Learning to love marketing



So what&rsquo;s actually scarce in a world of near-infinite software? Not code, for sure. No, what&rsquo;s scarce is attention, trust, and a reason to switch.



That means the durable advantages in software increasingly live in the parts of the business developers often undervalue, like a recognizable brand (something that Red Hat figured out early on in open source) or a channel they already use. Or it could be in areas that developers appreciate but don&rsquo;t pay for, like good documentation or a welcoming community.



This isn&rsquo;t a new idea; it&rsquo;s just newly unavoidable. We&rsquo;re watching something similar inside enterprises, where AI adoption is wildly uneven, not because the technology has no value, but because the organizational plumbing around it often hasn&rsquo;t been built. This is why a new kind of speed is important. I once argued that speed was the killer app, and that was mostly true. Today the more interesting speed is how quickly you can earn trust, fit into a workflow, answer objections, and get adopted.



Years ago I wrote that RethinkDB was dead and MongoDB wasn&rsquo;t what killed it. RethinkDB was at the time, by many technical measures, a better database, built around &ldquo;correctness, simplicity, and consistency.&rdquo; It still lost&mdash;and badly. Its founder&rsquo;s own postmortem was unsparing: They had picked a brutal market and tuned the product to the wrong definition of good. Being technically right turned out to have almost nothing to do with getting adopted.



With AI we&rsquo;re generating a thousand smaller &ldquo;RethinkDBs,&rdquo; only faster and with nicer landing pages generated by the same model that wrote the code. These aren&rsquo;t going to win, any more than RethinkDB was able to unseat MongoDB. It&rsquo;s not just about the tech, but rather about making that tech fit within a user&rsquo;s or enterprise&rsquo;s world and making it easy to adopt. AI makes this harder, not easier.



It&rsquo;s a clich&eacute; that developers don&rsquo;t like marketing. It&rsquo;s also false in my inexperience. What developers don&rsquo;t like is traditional marketing. During my time at MongoDB and now at Oracle, my developer relations teams have focused on offering developers deep, hands-on enablement, and the response has been fantastic. Is a technical tutorial marketing? Of course it is. So is a forward-deployed engineer working side by side with an enterprise&rsquo;s engineers to help them effectively use your tech. Just because it&rsquo;s not a 30-second Super Bowl ad doesn&rsquo;t mean it&rsquo;s not marketing.



Years ago the Dilbert cartoon captured developers&rsquo; disdain for marketing. It was funny then, and it&rsquo;s funny now, but it has never been true.



Years ago Matt Klein, creator of the open source Envoy project, once talked me through all the non-development work that goes into making an open source project thrive. As he reflected, &ldquo;If you look at what I did in 2016 and early 2017 to [introduce] and grow the project, it was not technical.&rdquo; So what was it, if not core engineering? &ldquo;It was all leadership, public relations, marketing, documentation, etc., and I did it all myself and I nearly killed myself [doing it].&rdquo; As he summed it up for me, it was a &ldquo;f&mdash;ing lot of work,&rdquo; and much (most?) of it wasn&rsquo;t about code. It was about helping users appreciate the value of that code.



TL;DR? The boring but essential go-to-market grind has always been the real job. It&rsquo;s what will separate winners from losers in AI.



The boring work wins



None of this is an argument against AI coding tools. Developers should absolutely use them. I use them constantly.



But AI can&rsquo;t compensate for the hard work that goes into making a product successful in the market. In a world drowning in AI-generated sameness, taste becomes a competitive advantage. For me, &ldquo;taste&rdquo; translates into knowing what not to build, or what not to publish. It&rsquo;s also all about knowing how to market one&rsquo;s product, which might include ads but definitely needs to incorporate technical training that helps developers make sense of your code.



In short, there&rsquo;s no Field of Dreams &ldquo;build it and they will come.&rdquo; There&rsquo;s just a lot of hard, human work to help real people find and use your code.
 ]]></description>
<link>https://tsecurity.de/de/3580892/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Making+sense+of+too+much+code/</link>
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<title><![CDATA[Google Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries]]></title> 
<description><![CDATA[Google Research details an agentic RAG framework in Gemini Enterprise Agent Platform. A Sufficient Context Agent re-searches until multi-hop, multi-source queries have enough grounding to answer. The framework raises factuality accuracy up to 34% versus standard RAG.
The post Google Research Adds Agentic RAG to Gemini Enterprise Agent Platform with a Sufficient Context Agent for multi-hop queries appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3580857/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+Research+Adds+Agentic+RAG+to+Gemini+Enterprise+Agent+Platform+with+a+Sufficient+Context+Agent+for+multi-hop+queries/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580857/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+Research+Adds+Agentic+RAG+to+Gemini+Enterprise+Agent+Platform+with+a+Sufficient+Context+Agent+for+multi-hop+queries/</guid>
<pubDate>Mon, 08 Jun 2026 10:25:51 +0200</pubDate>
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<title><![CDATA[Stock markets fall as concerns persist over tech firms at heart of AI boom]]></title> 
<description><![CDATA[Falls follow sharp sell-off of US tech stock last week while oil prices jump after Iran and Israel exchange strikesBusiness live &ndash; latest updatesGlobal stock markets have fallen amid concern about the prospects for tech stocks while oil prices have risen as attacks in the Middle East stoked fears that a fragile truce in the region could break.Stock markets in Asia and Europe fell on Monday after a sharp sell-off in US tech stocks late last week, as investors fretted over how companies at the forefront of the artificial intelligence boom would fund their &ldquo;eye-watering&rdquo; spending plans. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3580811/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Stock+markets+fall+as+concerns+persist+over+tech+firms+at+heart+of+AI+boom/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580811/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Stock+markets+fall+as+concerns+persist+over+tech+firms+at+heart+of+AI+boom/</guid>
<pubDate>Mon, 08 Jun 2026 10:32:17 +0200</pubDate>
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<title><![CDATA[UK AI start-up PhysicsX hits $2.4bn valuation following Temasek-led deal]]></title> 
<description><![CDATA[London-based group raises $300mn to become one of the UK&rsquo;s most valuable AI groups ]]></description>
<link>https://tsecurity.de/de/3580551/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/UK+AI+start-up+PhysicsX+hits+%242.4bn+valuation+following+Temasek-led+deal/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580551/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/UK+AI+start-up+PhysicsX+hits+%242.4bn+valuation+following+Temasek-led+deal/</guid>
<pubDate>Mon, 08 Jun 2026 07:00:02 +0200</pubDate>
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<title><![CDATA[Aviva detects record £230m in bogus insurance claims as use of AI rises]]></title> 
<description><![CDATA[Insurer found 18,400 suspect claims last year with some scammers using AI to fake accident scenes and documentsBogus insurance claims worth more than &pound;230m were detected by the insurance firm Aviva last year as scammers tried new tricks including using artificial intelligence to fake car accident scenes, documents and to exaggerate damage.The insurer identified more than 18,400 suspect claims across its brands in 2025, with a combined value of &pound;233m. The fraud claims level was a record for the insurer, although this was the first year that it included the Direct Line brands it acquired last summer. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3580469/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Aviva+detects+record+%C2%A3230m+in+bogus+insurance+claims+as+use+of+AI+rises/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580469/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Aviva+detects+record+%C2%A3230m+in+bogus+insurance+claims+as+use+of+AI+rises/</guid>
<pubDate>Mon, 08 Jun 2026 07:00:17 +0200</pubDate>
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<title><![CDATA[Software buyout deals collapse to lowest level since pandemic after AI rout]]></title> 
<description><![CDATA[Value of private equity software acquisitions struck in the first five months of the year tumbles to $50bn ]]></description>
<link>https://tsecurity.de/de/3580434/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Software+buyout+deals+collapse+to+lowest+level+since+pandemic+after+AI+rout/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580434/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Software+buyout+deals+collapse+to+lowest+level+since+pandemic+after+AI+rout/</guid>
<pubDate>Mon, 08 Jun 2026 06:00:05 +0200</pubDate>
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<title><![CDATA[We must not grant AI agents legal personhood]]></title> 
<description><![CDATA[What kind of sanctions could keep a non-human corporation in check? ]]></description>
<link>https://tsecurity.de/de/3580433/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+must+not+grant+AI+agents+legal+personhood/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580433/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+must+not+grant+AI+agents+legal+personhood/</guid>
<pubDate>Mon, 08 Jun 2026 06:00:25 +0200</pubDate>
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<title><![CDATA[Silicon Valley including Meta has embraced Maga politics, says Nick Clegg]]></title> 
<description><![CDATA[Meta&rsquo;s former head of global affairs says executives pivoted right in some cases for &lsquo;rather more self-interested&rsquo; reasonsSilicon Valley companies including Meta have decided to embrace Maga politics, some for &ldquo;rather more self-interested&rdquo; reasons, the former UK deputy prime minister Nick Clegg has said.Clegg, who spent nearly seven years at Meta as the head of global affairs, told The Rest is Money podcast that it felt like &ldquo;a very good time for me to move on&rdquo; when he left the company in March 2025, three months into the second Trump administration. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3580397/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Silicon+Valley+including+Meta+has+embraced+Maga+politics%2C+says+Nick+Clegg/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580397/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Silicon+Valley+including+Meta+has+embraced+Maga+politics%2C+says+Nick+Clegg/</guid>
<pubDate>Mon, 08 Jun 2026 06:00:17 +0200</pubDate>
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<title><![CDATA[Writing is an exercise in the art of persuasion. If we use AI we lose the art | Alan Finkel]]></title> 
<description><![CDATA[Every reader deserves to be informed about whether what they are reading is human or AIA few weeks ago, Dr Kylie Moore-Gilbert, an academic in political science at Macquarie University, wrote an opinion piece in the Sydney Morning Herald in which she reported on excessive use of AI chatbots by students to write their essays.In it, she raised her concern that universities are qualifying lawyers, nurses, financial advisers, engineers and teachers who do not have the essential skills required to perform their roles. If that is the case, the societal consequences are obvious. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3580252/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Writing+is+an+exercise+in+the+art+of+persuasion.+If+we+use+AI+we+lose+the+art+%7C+Alan+Finkel/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3580252/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Writing+is+an+exercise+in+the+art+of+persuasion.+If+we+use+AI+we+lose+the+art+%7C+Alan+Finkel/</guid>
<pubDate>Mon, 08 Jun 2026 02:54:49 +0200</pubDate>
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<title><![CDATA[Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation]]></title> 
<description><![CDATA[In this tutorial, we use GEPA as a reflective prompt-evolution framework to improve how a small language model solves multi-step arithmetic word problems. We start from a weak seed prompt, build a deterministic benchmark, and define a structured evaluator that returns actionable feedback. A multi-component setup evolves both the instruction field and the output-format rules together. We then compare the baseline and optimized prompts on a held-out validation set to check whether the gains generalize.
The post Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3579729/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Building+Reflective+Prompt+Optimization+with+GEPA%3A+Multi-Component+Prompts%2C+Structured+Feedback%2C+and+Held-Out+Validation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579729/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Building+Reflective+Prompt+Optimization+with+GEPA%3A+Multi-Component+Prompts%2C+Structured+Feedback%2C+and+Held-Out+Validation/</guid>
<pubDate>Sun, 07 Jun 2026 19:05:04 +0200</pubDate>
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<title><![CDATA[Deepseek topped Ramp's trending software vendors in June 2026 as US companies chase cheaper AI]]></title> 
<description><![CDATA[
        Deepseek topped Ramp&#039;s trending software vendors in June 2026 as a paid service that US companies send data to directly. Ramp chief economist Ara Kharazian points to growing cost awareness as a driver but warns about security risks of using Chinese models.
The article Deepseek topped Ramp&#039;s trending software vendors in June 2026 as US companies chase cheaper AI appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3579654/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Deepseek+topped+Ramp%27s+trending+software+vendors+in+June+2026+as+US+companies+chase+cheaper+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579654/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Deepseek+topped+Ramp%27s+trending+software+vendors+in+June+2026+as+US+companies+chase+cheaper+AI/</guid>
<pubDate>Sun, 07 Jun 2026 18:06:34 +0200</pubDate>
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<item> 
<title><![CDATA[We Should Train AI to Betray Its Users]]></title> 
<description><![CDATA[Because the alternative is much too dangerous
The post We Should Train AI to Betray Its Users appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3579578/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+Should+Train+AI+to+Betray+Its+Users/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579578/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+Should+Train+AI+to+Betray+Its+Users/</guid>
<pubDate>Sun, 07 Jun 2026 17:00:00 +0200</pubDate>
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<title><![CDATA[AI could consume up 3% of world's electricity the UN warns]]></title> 
<description><![CDATA[AI could soon use more water than we need to drink, UN report finds. ]]></description>
<link>https://tsecurity.de/de/3579463/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+could+consume+up+3%25+of+world%27s+electricity+the+UN+warns/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579463/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+could+consume+up+3%25+of+world%27s+electricity+the+UN+warns/</guid>
<pubDate>Sun, 07 Jun 2026 16:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Building a Multi-Agent System in Python]]></title> 
<description><![CDATA[An introduction to multi-agent systems
The post Building a Multi-Agent System in Python appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3579424/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Building+a+Multi-Agent+System+in+Python/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579424/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Building+a+Multi-Agent+System+in+Python/</guid>
<pubDate>Sun, 07 Jun 2026 15:00:00 +0200</pubDate>
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<item> 
<title><![CDATA[AI ‘content creators’ are getting harder to spot]]></title> 
<description><![CDATA[This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on AI confusion, follow Robert Hart. The Stepback arrives in our subscribers&#039; inboxes at 8AM ET. Opt in for The Stepback here. How it started At first, AI influencers were relatively easy to identify - and to [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3579317/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+%E2%80%98content+creators%E2%80%99+are+getting+harder+to+spot/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579317/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AI+%E2%80%98content+creators%E2%80%99+are+getting+harder+to+spot/</guid>
<pubDate>Sun, 07 Jun 2026 14:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Walmart tells workers that AI will improve their jobs, not steal them]]></title> 
<description><![CDATA[Retailer&rsquo;s embrace of artificial intelligence comes amid anxiety that the technology will create mass redundancies ]]></description>
<link>https://tsecurity.de/de/3579300/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Walmart+tells+workers+that+AI+will+improve+their+jobs%2C+not+steal+them/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579300/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Walmart+tells+workers+that+AI+will+improve+their+jobs%2C+not+steal+them/</guid>
<pubDate>Sun, 07 Jun 2026 12:00:04 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The coming rise of anti-AI populism]]></title> 
<description><![CDATA[Anxiety about the technology is set to generate a political backlash ]]></description>
<link>https://tsecurity.de/de/3579299/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+coming+rise+of+anti-AI+populism/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579299/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+coming+rise+of+anti-AI+populism/</guid>
<pubDate>Sun, 07 Jun 2026 13:00:04 +0200</pubDate>
</item>
<item> 
<title><![CDATA[School shooting survivor sues AI gun detection firm after system failed to spot weapon]]></title> 
<description><![CDATA[How accurate does an AI system need to be? ]]></description>
<link>https://tsecurity.de/de/3579267/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/School+shooting+survivor+sues+AI+gun+detection+firm+after+system+failed+to+spot+weapon/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579267/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/School+shooting+survivor+sues+AI+gun+detection+firm+after+system+failed+to+spot+weapon/</guid>
<pubDate>Sun, 07 Jun 2026 13:08:30 +0200</pubDate>
</item>
<item> 
<title><![CDATA[OpenAI says "chat is dead" and plans to rebuild ChatGPT as a full-blown agent app]]></title> 
<description><![CDATA[
        OpenAI is planning the biggest overhaul of ChatGPT since its launch. The chatbot will become a &quot;superapp&quot; bundling coding tools, AI agents, and partner apps like Canva and Booking.com. &quot;Chat is dead,&quot; the company says internally. The future supposedly belongs to agents that handle tasks on their own.
The article OpenAI says &quot;chat is dead&quot; and plans to rebuild ChatGPT as a full-blown agent app appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3579266/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+says+%22chat+is+dead%22+and+plans+to+rebuild+ChatGPT+as+a+full-blown+agent+app/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579266/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+says+%22chat+is+dead%22+and+plans+to+rebuild+ChatGPT+as+a+full-blown+agent+app/</guid>
<pubDate>Sun, 07 Jun 2026 13:15:28 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Billions spent and hypothetical returns: the AI boom explained with six charts]]></title> 
<description><![CDATA[Expenditure is growing fast and consumer take-up accelerating. But alarm bells are sounding The race is very much on. Elon Musk&rsquo;s SpaceX, which makes AI models as well as space rockets, announced last week it is seeking a $1.77tn (&pound;1.31tn) valuation on the US stock market while Anthropic, the startup behind the Claude chatbot, said it had filed for an initial public offering. OpenAI, the developer of ChatGPT, is expected to follow.This latest peak in the AI market comes amid a multitrillion-dollar spending spree on related infrastructure such as datacentres. Meanwhile, companies are attempting to deploy the technology in a way that makes investing in it worthwhile. Here&rsquo;s a look at what stage the AI boom is at and six key charts that tell us how we got here. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3579224/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Billions+spent+and+hypothetical+returns%3A+the+AI+boom+explained+with+six+charts/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579224/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Billions+spent+and+hypothetical+returns%3A+the+AI+boom+explained+with+six+charts/</guid>
<pubDate>Sun, 07 Jun 2026 13:00:31 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs]]></title> 
<description><![CDATA[
        Perplexity&#039;s new &quot;Search as Code&quot; architecture dumps rigid search APIs and lets AI models write their own search routines in Python. By letting the agent handle its own filtering and deduplication inside a sandbox, the system beats OpenAI and Anthropic on key benchmarks, while cutting token costs by up to 85 percent.
The article Perplexity&#039;s &quot;Search as Code&quot; lets AI models write their own search pipelines instead of calling fixed APIs appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3579206/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Perplexity%27s+%22Search+as+Code%22+lets+AI+models+write+their+own+search+pipelines+instead+of+calling+fixed+APIs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579206/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Perplexity%27s+%22Search+as+Code%22+lets+AI+models+write+their+own+search+pipelines+instead+of+calling+fixed+APIs/</guid>
<pubDate>Sun, 07 Jun 2026 12:28:33 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The Mythos Race: Trump’s New EO and Glasswing’s Expansion]]></title> 
<description><![CDATA[A roundup of headline AI developments from this past week is warranted, as fast-moving decisions from the White House to Anthropic demand immediate attention. Plus, a look at what may be the AI metric that matters most. ]]></description>
<link>https://tsecurity.de/de/3579180/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Mythos+Race%3A+Trump%E2%80%99s+New+EO+and+Glasswing%E2%80%99s+Expansion/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579180/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Mythos+Race%3A+Trump%E2%80%99s+New+EO+and+Glasswing%E2%80%99s+Expansion/</guid>
<pubDate>Sun, 07 Jun 2026 12:01:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[ChatGPT's new Lockdown Mode lets you disable web access and more to protect sensitive data from prompt injection]]></title> 
<description><![CDATA[
        OpenAI&#039;s new Lockdown Mode for ChatGPT disables web access, Deep Research, and Agent Mode to make data theft through prompt injection attacks harder. The mode doesn&#039;t fully prevent such attacks, it only blocks the final step in an exfiltration chain. Prompt injection remains an unsolved problem.
The article ChatGPT&#039;s new Lockdown Mode lets you disable web access and more to protect sensitive data from prompt injection appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3579159/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/ChatGPT%27s+new+Lockdown+Mode+lets+you+disable+web+access+and+more+to+protect+sensitive+data+from+prompt+injection/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579159/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/ChatGPT%27s+new+Lockdown+Mode+lets+you+disable+web+access+and+more+to+protect+sensitive+data+from+prompt+injection/</guid>
<pubDate>Sun, 07 Jun 2026 11:44:05 +0200</pubDate>
</item>
<item> 
<title><![CDATA[‘A driver of political violence’: how the breakneck AI boom is fueling anti-tech extremism]]></title> 
<description><![CDATA[Backlash against AI is taking an extremist turn, following in the footsteps of earlier techno-pessimist militantsSign up for the Breaking News US newsletter email When a 20-year-old man from Texas was arrested earlier this year for allegedly trying to burn down OpenAI&rsquo;s headquarters and Sam Altman&rsquo;s house, authorities found an anti-AI manifesto alongside his lighter and a jug of kerosene. It was one of a spate of attacks that has caused alarm among researchers, the tech industry and law enforcement about the rise of anti-tech extremism.In April, an Italian &ldquo;nature pilled&rdquo; Instagram influencer was arrested in Rome and charged with plotting a series of anti-tech attacks that took inspiration from Ted &ldquo;The Unabomber&rdquo; Kaczynski. Two self-described &ldquo;ecofascists&rdquo; that carried out a deadly anti-Muslim attack on a mosque in San Diego last month also cited &ldquo;AI slop&rdquo; and JD Vance&rsquo;s ties to Palantir as motivations for their violence in their manifesto. An Indianapolis city councilor woke up earlier this year to gunshots being fired into his home before finding a note that read &ldquo;NO DATA CENTERS&rdquo;. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3579158/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98A+driver+of+political+violence%E2%80%99%3A+how+the+breakneck+AI+boom+is+fueling+anti-tech+extremism/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579158/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98A+driver+of+political+violence%E2%80%99%3A+how+the+breakneck+AI+boom+is+fueling+anti-tech+extremism/</guid>
<pubDate>Sun, 07 Jun 2026 12:00:31 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Between the Knicks and the Pope, Villanova Finds the Spotlight]]></title> 
<description><![CDATA[Villanova University and its alumni have been grabbing headlines, both on the court and in the Vatican. ]]></description>
<link>https://tsecurity.de/de/3579107/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Between+the+Knicks+and+the+Pope%2C+Villanova+Finds+the+Spotlight/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579107/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Between+the+Knicks+and+the+Pope%2C+Villanova+Finds+the+Spotlight/</guid>
<pubDate>Sun, 07 Jun 2026 11:02:22 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Anthropic poaches OpenAI's second-ever chip engineer as both companies race toward IPOs]]></title> 
<description><![CDATA[
        Clive Chan, by his own account the second hardware employee in OpenAI&#039;s custom chip program, is moving to Anthropic. He brings experience from Tesla&#039;s Autopilot ASIC and the OpenAI-Broadcom partnership. The move comes as both companies prepare for their IPOs, and Anthropic is reportedly considering developing its own AI chips.
The article Anthropic poaches OpenAI&#039;s second-ever chip engineer as both companies race toward IPOs appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3579066/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+poaches+OpenAI%27s+second-ever+chip+engineer+as+both+companies+race+toward+IPOs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579066/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+poaches+OpenAI%27s+second-ever+chip+engineer+as+both+companies+race+toward+IPOs/</guid>
<pubDate>Sun, 07 Jun 2026 10:33:06 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Best 21 Low-Code and No-Code AI Tools in 2026]]></title> 
<description><![CDATA[Low-code and no-code AI platforms now turn a prompt into a working app, agent, or model. This guide compares 21 tools across app builders, automation, AI agents, and machine learning platforms, each linked to its official site.
The post Best 21 Low-Code and No-Code AI Tools in 2026 appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3579065/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Best+21+Low-Code+and+No-Code+AI+Tools+in+2026/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3579065/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Best+21+Low-Code+and+No-Code+AI+Tools+in+2026/</guid>
<pubDate>Sun, 07 Jun 2026 10:40:25 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Researchers pinpoint why larger language models pick up skills that small ones miss]]></title> 
<description><![CDATA[
        Small language models fail at rare tasks because frequent ones constantly overwrite what they&#039;ve learned. A new study with models ranging from 4 million to 4 billion parameters shows this mechanism in detail and offers a practical fix: instead of scaling up models, it may be enough to increase how often the target task appears in the training data.
The article Researchers pinpoint why larger language models pick up skills that small ones miss appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3578976/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Researchers+pinpoint+why+larger+language+models+pick+up+skills+that+small+ones+miss/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578976/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Researchers+pinpoint+why+larger+language+models+pick+up+skills+that+small+ones+miss/</guid>
<pubDate>Sun, 07 Jun 2026 09:45:09 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b]]></title> 
<description><![CDATA[UIUC and Chroma&#039;s Harness-1 is a 20B retrieval subagent trained with reinforcement learning inside a stateful search harness. The harness maintains the bookkeeping &mdash; candidate pool, importance-tagged curated set, evidence graph, verification records &mdash; while the policy decides what to search, curate, verify, and when to stop. It reaches 0.730 average curated recall across eight benchmarks, beating the next open subagent by 11.4 points and trailing only Opus-4.6. Weights and harness code are public.
The post Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3578897/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meet+Harness-1%3A+A+20B+Retrieval+Subagent+Trained+With+Reinforcement+Learning+Inside+a+Stateful+Search+Harness+on+gpt-oss-20b/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578897/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meet+Harness-1%3A+A+20B+Retrieval+Subagent+Trained+With+Reinforcement+Learning+Inside+a+Stateful+Search+Harness+on+gpt-oss-20b/</guid>
<pubDate>Sun, 07 Jun 2026 08:25:18 +0200</pubDate>
</item>
<item> 
<title><![CDATA[‘Poisoned’ AI: the ChatGPT shopping scams that lead to fake websites]]></title> 
<description><![CDATA[Buyers are ripped off after assuming online stores were genuine because they are recommended by an AI toolYou want to buy a new bag and so you ask ChatGPT for help. You have always liked Russell &amp; Bromley so you ask ChatGPT what is popular there at the moment.The artificial intelligence (AI) assistant gives you cross body, shoulder, casual and formal options with the prices listed beside them. You click through from the sources to what looks like the official Russell &amp; Bromley site and buy your new bag, which is conveniently on sale. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3578853/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98Poisoned%E2%80%99+AI%3A+the+ChatGPT+shopping+scams+that+lead+to+fake+websites/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578853/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98Poisoned%E2%80%99+AI%3A+the+ChatGPT+shopping+scams+that+lead+to+fake+websites/</guid>
<pubDate>Sun, 07 Jun 2026 08:00:26 +0200</pubDate>
</item>
<item> 
<title><![CDATA[OpenAI plots biggest ChatGPT overhaul since launch]]></title> 
<description><![CDATA[$850bn start-up to recast hit chatbot as a route to higher-margin products before a potential IPO ]]></description>
<link>https://tsecurity.de/de/3578833/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+plots+biggest+ChatGPT+overhaul+since+launch/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578833/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+plots+biggest+ChatGPT+overhaul+since+launch/</guid>
<pubDate>Sun, 07 Jun 2026 06:00:11 +0200</pubDate>
</item>
<item> 
<title><![CDATA[NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors]]></title> 
<description><![CDATA[This tutorial walks through NVIDIA garak as an end-to-end framework for defensive LLM red-teaming. It covers setup, plugin discovery, dry runs, real-model scans on a Hugging Face generator, and multi-probe evaluations. The workflow then analyzes safety scores and attack success rates, inspects flagged outputs, and extends garak with a custom probe and detector. It closes by exporting results in AVID format for structured vulnerability
The post NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3578819/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+garak+Tutorial%3A+Build+a+Complete+Defensive+LLM+Red-Teaming+Workflow+with+Custom+Probes+and+Detectors/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578819/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+garak+Tutorial%3A+Build+a+Complete+Defensive+LLM+Red-Teaming+Workflow+with+Custom+Probes+and+Detectors/</guid>
<pubDate>Sun, 07 Jun 2026 07:11:09 +0200</pubDate>
</item>
<item> 
<title><![CDATA[We should be getting better at AI by now]]></title> 
<description><![CDATA[From cancelled novels to legal fines, the scale of blunders only halfway through the year suggests the opposite&nbsp;&nbsp; ]]></description>
<link>https://tsecurity.de/de/3578727/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+should+be+getting+better+at+AI+by+now/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578727/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/We+should+be+getting+better+at+AI+by+now/</guid>
<pubDate>Sun, 07 Jun 2026 05:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Google’s New Colab CLI Lets Developers and AI Agents Run Python on Remote Colab GPUs and TPUs From the Terminal]]></title> 
<description><![CDATA[Google released the Colab CLI, letting developers and AI agents run local code on remote Colab GPU and TPU runtime
The post Google&rsquo;s New Colab CLI Lets Developers and AI Agents Run Python on Remote Colab GPUs and TPUs From the Terminal appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3578446/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google%E2%80%99s+New+Colab+CLI+Lets+Developers+and+AI+Agents+Run+Python+on+Remote+Colab+GPUs+and+TPUs+From+the+Terminal/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578446/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google%E2%80%99s+New+Colab+CLI+Lets+Developers+and+AI+Agents+Run+Python+on+Remote+Colab+GPUs+and+TPUs+From+the+Terminal/</guid>
<pubDate>Sun, 07 Jun 2026 00:07:34 +0200</pubDate>
</item>
<item> 
<title><![CDATA[What we know about the plan to give Americans an equity stake in AI]]></title> 
<description><![CDATA[OpenAI has proposed a sovereign-wealth-style fund to ease public anxiety about the impact of artificial intelligence ]]></description>
<link>https://tsecurity.de/de/3578404/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+we+know+about+the+plan+to+give+Americans+an+equity+stake+in+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578404/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+we+know+about+the+plan+to+give+Americans+an+equity+stake+in+AI/</guid>
<pubDate>Sat, 06 Jun 2026 23:18:20 +0200</pubDate>
</item>
<item> 
<title><![CDATA[OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks]]></title> 
<description><![CDATA[Even with Lockdown Mode, ChatGPT could be still vulnerable to prompt injections, but the goal is to reduce the likelihood that sensitive data gets shared in the process. ]]></description>
<link>https://tsecurity.de/de/3578347/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+unveils+Lockdown+Mode+to+protect+sensitive+data+from+prompt+injection+attacks/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578347/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+unveils+Lockdown+Mode+to+protect+sensitive+data+from+prompt+injection+attacks/</guid>
<pubDate>Sat, 06 Jun 2026 22:32:24 +0200</pubDate>
</item>
<item> 
<title><![CDATA[What to expect from WWDC 2026: Siri’s highly anticipated revamp and Apple Intelligence updates]]></title> 
<description><![CDATA[Apple&#039;s WWDC nears: Here&#039;s what you can look forward to. ]]></description>
<link>https://tsecurity.de/de/3578206/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+to+expect+from+WWDC+2026%3A+Siri%E2%80%99s+highly+anticipated+revamp+and+Apple+Intelligence+updates/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578206/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/What+to+expect+from+WWDC+2026%3A+Siri%E2%80%99s+highly+anticipated+revamp+and+Apple+Intelligence+updates/</guid>
<pubDate>Sat, 06 Jun 2026 20:13:36 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Picking an Experimentation Platform: A Retrospective]]></title> 
<description><![CDATA[My approach to guiding the choice between Eppo and Statsig, and the lessons learned
The post Picking an Experimentation Platform: A Retrospective appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3578153/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Picking+an+Experimentation+Platform%3A+A+Retrospective/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578153/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Picking+an+Experimentation+Platform%3A+A+Retrospective/</guid>
<pubDate>Sat, 06 Jun 2026 19:00:00 +0200</pubDate>
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<item> 
<title><![CDATA[N.Y. Lawmakers Move to Pause Data Centers and Curb Surveillance Pricing]]></title> 
<description><![CDATA[The state also passed legislation that begins a two-year process to allow lawmakers to draw new congressional district lines more often. Efforts to contain plastics stalled for a third year. ]]></description>
<link>https://tsecurity.de/de/3578103/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/N.Y.+Lawmakers+Move+to+Pause+Data+Centers+and+Curb+Surveillance+Pricing/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578103/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/N.Y.+Lawmakers+Move+to+Pause+Data+Centers+and+Curb+Surveillance+Pricing/</guid>
<pubDate>Sat, 06 Jun 2026 18:31:15 +0200</pubDate>
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<item> 
<title><![CDATA[The Trump administration might take an equity stake in OpenAI]]></title> 
<description><![CDATA[President Donald Trump said he&#039;s discussing deals &quot;where the American people can benefit from the success of AI.&quot; ]]></description>
<link>https://tsecurity.de/de/3578046/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Trump+administration+might+take+an+equity+stake+in+OpenAI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3578046/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Trump+administration+might+take+an+equity+stake+in+OpenAI/</guid>
<pubDate>Sat, 06 Jun 2026 18:17:21 +0200</pubDate>
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<item> 
<title><![CDATA[Suit filed against controversial planned Stratos datacenter project in Utah]]></title> 
<description><![CDATA[Plan backed by Shark Tank&rsquo;s Kevin O&rsquo;Leary had footprint reduced but concerns remain over its health impactsUtah residents have teamed up with a progressive non-profit organization to sue over an under-development AI datacenter backed by celebrity investor Kevin O&rsquo;Leary, claiming the planned Stratos project facility &ldquo;irrevocably&rdquo; cuts off citizens&rsquo; rights by not allowing sufficient public input.Filed by the Alliance for a Better Utah and five unnamed residents of the Box Elder county area where the center is being developed, the lawsuit comes as Shark Tank co-host O&rsquo;Leary agreed to scale back the physical footprint for the project. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3577988/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Suit+filed+against+controversial+planned+Stratos+datacenter+project+in+Utah/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577988/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Suit+filed+against+controversial+planned+Stratos+datacenter+project+in+Utah/</guid>
<pubDate>Sat, 06 Jun 2026 17:46:05 +0200</pubDate>
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<item> 
<title><![CDATA[Who Will Win the 2026 Soccer World Cup?]]></title> 
<description><![CDATA[Building a forecast from Elo, Poisson, and 10,000 simulations
The post Who Will Win the 2026 Soccer World Cup? appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3577957/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Who+Will+Win+the+2026+Soccer+World+Cup%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577957/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Who+Will+Win+the+2026+Soccer+World+Cup%3F/</guid>
<pubDate>Sat, 06 Jun 2026 17:00:00 +0200</pubDate>
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<item> 
<title><![CDATA[Sakana AI bets AI that improves itself can break the compute arms race of frontier labs]]></title> 
<description><![CDATA[
        Sakana AI has launched a dedicated research lab for recursive self-improvement: AI that iteratively improves itself. The Japanese startup, co-founded by Transformer co-author Llion Jones, sees RSI as an alternative to the raw compute arms race among big US labs. Anthropic, meanwhile, warns about the control risks of this very technology.
The article Sakana AI bets AI that improves itself can break the compute arms race of frontier labs appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577837/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sakana+AI+bets+AI+that+improves+itself+can+break+the+compute+arms+race+of+frontier+labs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577837/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sakana+AI+bets+AI+that+improves+itself+can+break+the+compute+arms+race+of+frontier+labs/</guid>
<pubDate>Sat, 06 Jun 2026 15:57:52 +0200</pubDate>
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<item> 
<title><![CDATA[Scientists are seriously asking if bees and ChatGPT are conscious]]></title> 
<description><![CDATA[New studies suggest consciousness can&#039;t be judged solely by behavior, whether it&#039;s a chatbot discussing philosophy or a bee searching for nectar. Researchers are increasingly focusing on the internal mechanisms of brains and computers, concluding that today&#039;s AI is likely not conscious while leaving open the possibility for both conscious insects and future machines. ]]></description>
<link>https://tsecurity.de/de/3577806/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Scientists+are+seriously+asking+if+bees+and+ChatGPT+are+conscious/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577806/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Scientists+are+seriously+asking+if+bees+and+ChatGPT+are+conscious/</guid>
<pubDate>Fri, 05 Jun 2026 07:27:32 +0200</pubDate>
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<item> 
<title><![CDATA[My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist’s Honest Account of Discovering Diffrax]]></title> 
<description><![CDATA[what it costs, what it gains and the three mistakes that I make
The post My SciPy ODE Solver Was Killing My Bayesian Inference: A Cosmologist&rsquo;s Honest Account of Discovering Diffrax appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3577760/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/My+SciPy+ODE+Solver+Was+Killing+My+Bayesian+Inference%3A+A+Cosmologist%E2%80%99s+Honest+Account+of+Discovering+Diffrax/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577760/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/My+SciPy+ODE+Solver+Was+Killing+My+Bayesian+Inference%3A+A+Cosmologist%E2%80%99s+Honest+Account+of+Discovering+Diffrax/</guid>
<pubDate>Sat, 06 Jun 2026 15:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Sorry, I’m Not Available. Talk to the A.I. Me.]]></title> 
<description><![CDATA[The hot new productivity hack for C.E.O.s and Harvard professors? A.I. twins that answer questions and attend meetings. ]]></description>
<link>https://tsecurity.de/de/3577705/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sorry%2C+I%E2%80%99m+Not+Available.+Talk+to+the+A.I.+Me./</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577705/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Sorry%2C+I%E2%80%99m+Not+Available.+Talk+to+the+A.I.+Me./</guid>
<pubDate>Sat, 06 Jun 2026 14:16:53 +0200</pubDate>
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<item> 
<title><![CDATA[‘We should not have to sacrifice’: New York could become first state to temporarily ban large datacenters]]></title> 
<description><![CDATA[Kristen Gonzalez, a state senator who authored the bill, said moratorium would target &lsquo;hyperscale&rsquo; datacenters over 20MWNew York moved closer toward becoming the first US state to enact a moratorium on large datacenters this week. On Thursday, the state legislature approved a one-year ban on the facilities powering the AI boom.The measure now heads to Kathy Hochul, the governor, who will decide whether to sign it into law. The Guardian spoke to a state senator in the wake of the historic vote about authoring the bill and the wider US backlash against datacenters. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3577660/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98We+should+not+have+to+sacrifice%E2%80%99%3A+New+York+could+become+first+state+to+temporarily+ban+large+datacenters/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577660/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%E2%80%98We+should+not+have+to+sacrifice%E2%80%99%3A+New+York+could+become+first+state+to+temporarily+ban+large+datacenters/</guid>
<pubDate>Sat, 06 Jun 2026 14:00:04 +0200</pubDate>
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<item> 
<title><![CDATA[Meta's Hatch AI agent could cost up to $200 a month and marks its first paid AI product]]></title> 
<description><![CDATA[
        Meta is developing a paid AI agent product called &quot;Hatch&quot; that could cost up to $200 per month. Users describe what they need in simple language, and Hatch builds working tools, schedules appointments, or sends emails. CEO Mark Zuckerberg sees the product as a way to open up new revenue streams beyond advertising and refinance the company&#039;s massive AI investments.
The article Meta&#039;s Hatch AI agent could cost up to $200 a month and marks its first paid AI product appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577637/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meta%27s+Hatch+AI+agent+could+cost+up+to+%24200+a+month+and+marks+its+first+paid+AI+product/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577637/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meta%27s+Hatch+AI+agent+could+cost+up+to+%24200+a+month+and+marks+its+first+paid+AI+product/</guid>
<pubDate>Sat, 06 Jun 2026 13:42:08 +0200</pubDate>
</item>
<item> 
<title><![CDATA[When Is It Wrong to Use A.I.?]]></title> 
<description><![CDATA[How to criticize an inevitable disruption. ]]></description>
<link>https://tsecurity.de/de/3577600/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/When+Is+It+Wrong+to+Use+A.I.%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577600/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/When+Is+It+Wrong+to+Use+A.I.%3F/</guid>
<pubDate>Sat, 06 Jun 2026 13:00:08 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Elon Musk's xAI reportedly trained its coding models on Claude outputs for months before getting cut off]]></title> 
<description><![CDATA[
        Elon Musk&#039;s xAI used Anthropic&#039;s Claude to train its own coding models for months and kept going even after Anthropic cut off access, using private accounts and the Blackbox AI service. Meanwhile, xAI&#039;s pretraining team shrank to fewer than five people, and several leads walked out. The compute Musk bought up is now being rented to Anthropic and Google instead of powering his own models.
The article Elon Musk&#039;s xAI reportedly trained its coding models on Claude outputs for months before getting cut off appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577599/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Elon+Musk%27s+xAI+reportedly+trained+its+coding+models+on+Claude+outputs+for+months+before+getting+cut+off/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577599/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Elon+Musk%27s+xAI+reportedly+trained+its+coding+models+on+Claude+outputs+for+months+before+getting+cut+off/</guid>
<pubDate>Sat, 06 Jun 2026 13:22:28 +0200</pubDate>
</item>
<item> 
<title><![CDATA[New open-source voice model listens nonstop and decides every 0.4 seconds whether to speak or stay silent]]></title> 
<description><![CDATA[
        Unlike GPT-4o or Qwen3.5-Omni, Audio Interaction doesn&#039;t wait for a recording to end: it translates, transcribes, chats, and picks up everyday noises like coughing in a single stream. Code, model weights, and download instructions are available on GitHub under the Apache 2.0 open-source license, with the training data to follow.
The article New open-source voice model listens nonstop and decides every 0.4 seconds whether to speak or stay silent appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577553/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/New+open-source+voice+model+listens+nonstop+and+decides+every+0.4+seconds+whether+to+speak+or+stay+silent/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577553/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/New+open-source+voice+model+listens+nonstop+and+decides+every+0.4+seconds+whether+to+speak+or+stay+silent/</guid>
<pubDate>Sat, 06 Jun 2026 12:50:21 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Crypto-Funded Chinese Peptide Labs Are Booming]]></title> 
<description><![CDATA[Plus: Hackers use Meta&rsquo;s AI bots to hack Instagram accounts, Anthropic helps NSA hackers, a decades-long GPS satellite mystery may have been solved, and more. ]]></description>
<link>https://tsecurity.de/de/3577513/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Crypto-Funded+Chinese+Peptide+Labs+Are+Booming/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577513/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Crypto-Funded+Chinese+Peptide+Labs+Are+Booming/</guid>
<pubDate>Sat, 06 Jun 2026 12:30:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Moonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents]]></title> 
<description><![CDATA[Kimi Code CLI is Moonshot AI&#039;s open-source terminal coding agent, written in TypeScript with subagents and MCP configuration.
The post Moonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3577390/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Moonshot+AI+Releases+Kimi+Code+CLI%3A+A+Terminal+AI+Coding+Agent+Built+in+TypeScript+for+Next-Gen+Agents/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577390/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Moonshot+AI+Releases+Kimi+Code+CLI%3A+A+Terminal+AI+Coding+Agent+Built+in+TypeScript+for+Next-Gen+Agents/</guid>
<pubDate>Sat, 06 Jun 2026 11:11:08 +0200</pubDate>
</item>
<item> 
<title><![CDATA[NVIDIA Releases Nemotron 3.5 ASR: A 600M-Parameter Cache-Aware Streaming Model Transcribing 40 Language-Locales in Real Time]]></title> 
<description><![CDATA[NVIDIA released Nemotron 3.5 ASR, a cache-aware 600M streaming model transcribing 40 language-locales in real time from one checkpoint.
The post NVIDIA Releases Nemotron 3.5 ASR: A 600M-Parameter Cache-Aware Streaming Model Transcribing 40 Language-Locales in Real Time appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3577290/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+Releases+Nemotron+3.5+ASR%3A+A+600M-Parameter+Cache-Aware+Streaming+Model+Transcribing+40+Language-Locales+in+Real+Time/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577290/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+Releases+Nemotron+3.5+ASR%3A+A+600M-Parameter+Cache-Aware+Streaming+Model+Transcribing+40+Language-Locales+in+Real+Time/</guid>
<pubDate>Sat, 06 Jun 2026 09:55:40 +0200</pubDate>
</item>
<item> 
<title><![CDATA[SpaceX signs $920 million per month deal with Google for 110,000 Nvidia AI chips ahead of IPO]]></title> 
<description><![CDATA[
        SpaceX is leasing AI computing capacity to Google for $920 million per month, according to an SEC filing. The deal gives Google access to about 110,000 Nvidia chips to meet demand for its Gemini Enterprise platform. That one of the world&#039;s largest cloud providers needs to rent capacity externally shows how scarce AI infrastructure has become, and how tightly big tech companies&#039; businesses are now intertwined.
The article SpaceX signs $920 million per month deal with Google for 110,000 Nvidia AI chips ahead of IPO appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577289/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/SpaceX+signs+%24920+million+per+month+deal+with+Google+for+110%2C000+Nvidia+AI+chips+ahead+of+IPO/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577289/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/SpaceX+signs+%24920+million+per+month+deal+with+Google+for+110%2C000+Nvidia+AI+chips+ahead+of+IPO/</guid>
<pubDate>Sat, 06 Jun 2026 09:57:41 +0200</pubDate>
</item>
<item> 
<title><![CDATA[A.I. Companies Don’t Know What to Do With Alex Bores]]></title> 
<description><![CDATA[Outside groups have spent roughly $12 million to support or oppose Mr. Bores&rsquo;s campaign for a House seat in Manhattan, elevating his name in a crowded race. ]]></description>
<link>https://tsecurity.de/de/3577239/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A.I.+Companies+Don%E2%80%99t+Know+What+to+Do+With+Alex+Bores/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577239/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A.I.+Companies+Don%E2%80%99t+Know+What+to+Do+With+Alex+Bores/</guid>
<pubDate>Sat, 06 Jun 2026 09:00:07 +0200</pubDate>
</item>
<item> 
<title><![CDATA[OpenAI and the Trump administration are negotiating a government stake in the AI startup]]></title> 
<description><![CDATA[
        OpenAI and the Trump administration are negotiating a direct government stake in the AI startup. The idea is a &quot;Public Wealth Fund&quot; that would pay out directly to American citizens. Senator Bernie Sanders wants to push through a 50 percent tax on AI shares by law. Critics fear the arrangement could create a &quot;too big to fail&quot; dynamic similar to the 2008 financial crisis.
The article OpenAI and the Trump administration are negotiating a government stake in the AI startup appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577238/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+and+the+Trump+administration+are+negotiating+a+government+stake+in+the+AI+startup/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577238/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+and+the+Trump+administration+are+negotiating+a+government+stake+in+the+AI+startup/</guid>
<pubDate>Sat, 06 Jun 2026 09:30:43 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Qwen3.7-Plus is Alibaba's bid to turn multimodal AI into a full-blown autonomous agent]]></title> 
<description><![CDATA[
        Alibaba&#039;s Qwen team has released Qwen3.7-Plus, a multimodal agent model that combines visual perception, GUI operation, and coding in a single agent loop. In a demo, an agent built on the model autonomously developed a vocabulary learning app, producing over 10,000 lines of code across 1,000 agent calls over eleven hours. The model leads on-screen understanding in Qwen&#039;s own benchmarks, but overall performance is mixed. Qwen3.7-Plus is a proprietary offering with no open weights, priced well below Western frontier models.
The article Qwen3.7-Plus is Alibaba&#039;s bid to turn multimodal AI into a full-blown autonomous agent appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3577203/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Qwen3.7-Plus+is+Alibaba%27s+bid+to+turn+multimodal+AI+into+a+full-blown+autonomous+agent/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577203/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Qwen3.7-Plus+is+Alibaba%27s+bid+to+turn+multimodal+AI+into+a+full-blown+autonomous+agent/</guid>
<pubDate>Sat, 06 Jun 2026 08:54:29 +0200</pubDate>
</item>
<item> 
<title><![CDATA[It’s no surprise that an AI-faked presidential speech condemning foreign exploitation went viral – the world is suffering from a leadership vacuum]]></title> 
<description><![CDATA[Attributed to the president of Namibia, the speech is still being shared as citizens across Africa and the Caribbean cry out for moral leaders willing to speak uncomfortable truthsFor a moment, the speech attributed to Namibia&rsquo;s president travelled across the world like a gust of hope. It was fierce. Defiant. Unapologetically sovereign. The speaker denounced corruption, condemned foreign exploitation and declared that Africa&rsquo;s resources belonged not to politicians or multinational corporations but to its people. Netumbo Nandi-Ndaitwah spoke of leaders who signed away national wealth behind closed doors and warned that those who betrayed the public trust would face accountability. It sounded like the language of decolonisation reborn.Across social media, many listened with admiration. Finally, here was a leader speaking with moral clarity. Here was the rhetoric that generations of postcolonial citizens had been waiting to hear. But there was one problem. It was fake. Nandi-Ndaitwah rejected it as an AI-generated fabrication. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3577133/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+no+surprise+that+an+AI-faked+presidential+speech+condemning+foreign+exploitation+went+viral+%E2%80%93+the+world+is+suffering+from+a+leadership+vacuum/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577133/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+no+surprise+that+an+AI-faked+presidential+speech+condemning+foreign+exploitation+went+viral+%E2%80%93+the+world+is+suffering+from+a+leadership+vacuum/</guid>
<pubDate>Sat, 06 Jun 2026 08:00:01 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Police in England and Wales told to halt AI use in court statements]]></title> 
<description><![CDATA[Safeguards must be in place before forces automate justice tasks, says head of Police.AI ]]></description>
<link>https://tsecurity.de/de/3577105/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Police+in+England+and+Wales+told+to+halt+AI+use+in+court+statements/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577105/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Police+in+England+and+Wales+told+to+halt+AI+use+in+court+statements/</guid>
<pubDate>Sat, 06 Jun 2026 06:00:24 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Can AI save a company’s soul?]]></title> 
<description><![CDATA[It is easy to imagine institutional memory lost to automation preserved in silicon &mdash; but there is one crucial difference ]]></description>
<link>https://tsecurity.de/de/3577104/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Can+AI+save+a+company%E2%80%99s+soul%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3577104/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Can+AI+save+a+company%E2%80%99s+soul%3F/</guid>
<pubDate>Sat, 06 Jun 2026 06:00:49 +0200</pubDate>
</item>
<item> 
<title><![CDATA[AWS targets a longtime cloud migration blocker with SQL Server license portability]]></title> 
<description><![CDATA[
		
					  
						




Licensing can be complicated, particularly when enterprises are forced to double-pay because the software they already own is only licensed for a specific environment, and moving it requires a whole different licensing model. Without proper portability rights, they need to make additional financial investments to run the same workloads in a different home.



AWS says its new Bring Your Own Media (BYOM) service eliminates this duplication. Customers can now reuse their existing Microsoft SQL Server media and licenses on Amazon Relational Database Service (RDS) with no additional licensing fees.



This means enterprises no longer have to justify workload migrations to the cloud against existing licensing commitments and infrastructure investments, AWS said.



&ldquo;What used to be a licensing barrier between operational SQL Server data and agentic AI is now gone,&rdquo; AWS data engineer Srikanth Katakam and product marketing manager Colleen Betik wrote in a blog post announcing the service.



Avoiding the double-licensing problem



To drive true value, agentic AI apps must have access to elastic GPU capacity as well as direct, low-latency access to the data they need to reason and make decisions. But, AWS argued, that can be difficult in self-managed data centers and on premises infrastructure with limited access to agentic AI cloud-native services. But a lot of enterprise data lives in Microsoft SQL Server, and until now customers have had to pay for a second license to use a fully managed cloud service like RDS.



Now, with BYOM on Amazon RDS for SQL Server, enterprises can reuse their existing SQL Server Enterprise Edition or Standard Edition licenses through a &ldquo;lift-and-shift&rdquo; model. This brings their data into a fully-managed environment.



According to the licensing distribution terms, enterprises must provide their licensed SQL Server Release to Manufacturing (RTM) media to Amazon RDS. They can then upload that media to Amazon S3 and launch BYOM instances. Enterprises must configure AWS License Manager to perform automatic instance tracking.



From there, RDS automates patching, backups, high availability, and monitoring, while providing direct access to agentic AI and analytics services native to AWS. The platform also reports vCPU usage to provide visibility into SQL Server license usage, Katakam and Betik wrote.



&ldquo;You do not need to choose between protecting your SQL Server licensing investments and giving your data a path to the AWS analytics and agentic AI services redefining what&rsquo;s possible in the cloud,&rdquo; they said.&nbsp;



It&rsquo;s important to note that this service is only available to enterprises with Microsoft Software Assurance (SA), an add-on which supports mobility and rehosting of existing licenses. Enterprises must verify that their SQL Server licenses comply with Microsoft&rsquo;s licensing agreement, and that they have a SQL Server License (Standard or Enterprise) with SA. They also must submit a License Mobility Verification Form to Microsoft; it, in turn, will notify AWS once verification is complete.



AWS emphasized that enterprises remain responsible for compliance; it does not block operations if license limits are exceeded.



More control over workloads, loosening Microsoft&rsquo;s grip



The advantage of this service, explained Mike Leone, principal analyst at Moor Insights &amp; Strategy, is that enterprises can get a Microsoft SQL Server workload onto a managed AWS service without rewriting it for Aurora or paying for the license twice. This means they can modernize on their own schedule rather than being forced into rewrites before they&rsquo;re ready.



&ldquo;For a lot of shops, that control over timing is worth more than the license saving itself,&rdquo; Leone said.



This also loosens Microsoft&rsquo;s grip on enterprise workloads, because organizations finally have somewhere else to run SQL Server using licenses they already own, he noted. Realistically, their dependency shifts to AWS rather than disappearing entirely, as their data ends up living next to AWS&rsquo;s AI services.



&ldquo;For a lot of teams, that&rsquo;s a trade they&rsquo;re glad to make for the managed infrastructure and the AI tooling they get in return,&rdquo; Leone said.



Yaz Palanichamy, a senior advisory analyst at Info-Tech Research Group, also pointed to significant improvements stemming from the migration. Notably, it allows organizations to transition away from static, linear, or reactive storage capabilities towards more dynamically intelligent environments.



&ldquo;The key is to balance the unification of transactional data towards managed AI and machine learning pipelines,&rdquo; he said.



Enterprises take on new responsibilities



The catch? Leone noted that enterprises now own the task of licensing compliance. Staying current on SA, the Microsoft maintenance contract that makes any of this legal, and the license mobility rules, &ldquo;become your headache instead of something baked into the bill,&rdquo; he said.



Furthermore, he added, lift-and-shift has a way of turning into &ldquo;lift-and-forget&rdquo; when enterprises move SQL Server as-is and never actually modernize, &ldquo;so you end up carrying all the old baggage onto a shinier platform.&rdquo;



Palanichamy also pointed to skyrocketing AWS costs, since operationalizing AI agents requires a considerable amount of data ingestion and querying. This can potentially be cost prohibitive on RDS for SQL Server.



&ldquo;One aspect to consider would be the relative time to production value, so that enterprises can better handle the management of volatile AI workloads,&rdquo; he said.



Just one challenge in the AI race



Although AWS frames licensing complexity as a roadblock to agentic AI, analysts say it&rsquo;s really just one piece of the puzzle.



Organizations are not in an AI-ready state due to a number of factors, Palanichamy noted. This could be total cost of ownership (TCO)-related, a lack of appropriate acceptable use policies (AUPs), or concerns around security and compliance.



If and when enterprises are ready to adopt AI, they must perform thorough needs analysis/process optimization benchmarking exercises to determine what workflows could benefit from the technology, he said, and, conversely, flag workflows where AI could prove &ldquo;an impediment or potential disservice.&rdquo;



Leone also pointed out that moving SQL Server onto RDS doesn&rsquo;t &ldquo;magically make your data agent-ready,&rdquo; nor does it make it smarter. The data proximity and managed plumbing are what actually support agents. Sitting data next to Bedrock and the rest of AWS&rsquo;s AI services means builders &ldquo;stop wasting time shipping the data around or building one-off integrations every time an agent needs it.&rdquo;



Ultimately, though, licensing isn&rsquo;t the real issue when it comes to AI; it&rsquo;s more of a migration problem. The real roadblocks are messy data, questionable governance, and teams that aren&rsquo;t ready to run it in production, and, Leone said, &ldquo;no change to a license bill touches a single one of them.&rdquo;
 ]]></description>
<link>https://tsecurity.de/de/3576806/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AWS+targets+a+longtime+cloud+migration+blocker+with+SQL+Server+license+portability/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576806/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AWS+targets+a+longtime+cloud+migration+blocker+with+SQL+Server+license+portability/</guid>
<pubDate>Sat, 06 Jun 2026 01:29:28 +0200</pubDate>
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<title><![CDATA[SpaceX signs $30bn deal to lease computing capacity to Google]]></title> 
<description><![CDATA[Agreement comes ahead of a record-breaking initial public offering for Elon Musk&rsquo;s rockets-to-AI conglomerate ]]></description>
<link>https://tsecurity.de/de/3576728/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/SpaceX+signs+%2430bn+deal+to+lease+computing+capacity+to+Google/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576728/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/SpaceX+signs+%2430bn+deal+to+lease+computing+capacity+to+Google/</guid>
<pubDate>Fri, 05 Jun 2026 23:21:02 +0200</pubDate>
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<title><![CDATA[A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment]]></title> 
<description><![CDATA[Set up Qualcomm AI Hub Models to run MobileNet-V2 inference, YOLOv7 detection, and compile models on real devices.
The post A Hands-On Coding Tutorial on Qualcomm AI Hub Models for Classification, Object Detection, and Hardware-Aware Deployment appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3576708/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+Hands-On+Coding+Tutorial+on+Qualcomm+AI+Hub+Models+for+Classification%2C+Object+Detection%2C+and+Hardware-Aware+Deployment/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576708/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+Hands-On+Coding+Tutorial+on+Qualcomm+AI+Hub+Models+for+Classification%2C+Object+Detection%2C+and+Hardware-Aware+Deployment/</guid>
<pubDate>Sat, 06 Jun 2026 00:32:51 +0200</pubDate>
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<title><![CDATA[Improving LM Studio's MLX Engine for Agentic Workflows]]></title> 
<description><![CDATA[mlx-engine v1.8.5 dramatically improves performance for repeated, long-context agentic workflows by checkpointing your KV cache. ]]></description>
<link>https://tsecurity.de/de/3576598/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Improving+LM+Studio%27s+MLX+Engine+for+Agentic+Workflows/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576598/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Improving+LM+Studio%27s+MLX+Engine+for+Agentic+Workflows/</guid>
<pubDate>Fri, 05 Jun 2026 02:00:00 +0200</pubDate>
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<title><![CDATA[Trump says US may take equity stakes in AI companies]]></title> 
<description><![CDATA[President suggests &lsquo;partnership&rsquo; will ease voter concerns about the technology ahead of November&rsquo;s midterm elections ]]></description>
<link>https://tsecurity.de/de/3576580/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Trump+says+US+may+take+equity+stakes+in+AI+companies/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576580/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Trump+says+US+may+take+equity+stakes+in+AI+companies/</guid>
<pubDate>Fri, 05 Jun 2026 22:22:33 +0200</pubDate>
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<title><![CDATA[Proposed Federal AI Bill Would Pre-empt States for 3 Years]]></title> 
<description><![CDATA[The draft regulation framework has a three-year pre-emption of state laws related to AI development. It would also extend the Cybersecurity Information Sharing Act of 2015 through fiscal 2035. ]]></description>
<link>https://tsecurity.de/de/3576579/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Proposed+Federal+AI+Bill+Would+Pre-empt+States+for+3+Years/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576579/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Proposed+Federal+AI+Bill+Would+Pre-empt+States+for+3+Years/</guid>
<pubDate>Fri, 05 Jun 2026 22:48:22 +0200</pubDate>
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<title><![CDATA[Amherst County, Va., Eyes Special Use Permits for Data Centers]]></title> 
<description><![CDATA[Supervisors agreed to pursue zoning that would make data centers allowable only by special use permit in the industrial district. Nearly two dozen residents spoke; most were opposed to the facilities. ]]></description>
<link>https://tsecurity.de/de/3576548/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Amherst+County%2C+Va.%2C+Eyes+Special+Use+Permits+for+Data+Centers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576548/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Amherst+County%2C+Va.%2C+Eyes+Special+Use+Permits+for+Data+Centers/</guid>
<pubDate>Fri, 05 Jun 2026 22:34:15 +0200</pubDate>
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<title><![CDATA[Bay City Alternative High School to Customize Education With AI]]></title> 
<description><![CDATA[Eastern High School in Bay City, Mich., will allow students to use AI technology from the Subject AI learning platform to customize their educational path and pace. ]]></description>
<link>https://tsecurity.de/de/3576526/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Bay+City+Alternative+High+School+to+Customize+Education+With+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576526/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Bay+City+Alternative+High+School+to+Customize+Education+With+AI/</guid>
<pubDate>Fri, 05 Jun 2026 22:22:11 +0200</pubDate>
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<title><![CDATA[Former cyber executive turned whistleblower accuses IBM of covering up several data breaches]]></title> 
<description><![CDATA[IBM and two of its subsidiary companies were allegedly breached during the mid-2010s, which a lawsuit filed by a former cybersecurity executive accuses IBM of not disclosing and actively covering up. ]]></description>
<link>https://tsecurity.de/de/3576525/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Former+cyber+executive+turned+whistleblower+accuses+IBM+of+covering+up+several+data+breaches/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576525/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Former+cyber+executive+turned+whistleblower+accuses+IBM+of+covering+up+several+data+breaches/</guid>
<pubDate>Fri, 05 Jun 2026 22:31:04 +0200</pubDate>
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<title><![CDATA[The crucial human component in computing and AI]]></title> 
<description><![CDATA[The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology. ]]></description>
<link>https://tsecurity.de/de/3576495/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+crucial+human+component+in+computing+and+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576495/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+crucial+human+component+in+computing+and+AI/</guid>
<pubDate>Fri, 05 Jun 2026 22:10:00 +0200</pubDate>
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<title><![CDATA[Try the new console experience in Amazon Bedrock, optimized for Anthropic- and OpenAI-compatible APIs]]></title> 
<description><![CDATA[You can use the new console experience on Amazon Bedrock to browse and compare the latest AI models side by side, organize work into projects with streamlined evaluation workflows, and access project-aware live documentation with auto-prefilled code snippets ready to copy and run. ]]></description>
<link>https://tsecurity.de/de/3576420/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Try+the+new+console+experience+in+Amazon+Bedrock%2C+optimized+for+Anthropic-+and+OpenAI-compatible+APIs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576420/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Try+the+new+console+experience+in+Amazon+Bedrock%2C+optimized+for+Anthropic-+and+OpenAI-compatible+APIs/</guid>
<pubDate>Fri, 05 Jun 2026 21:15:11 +0200</pubDate>
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<title><![CDATA[Unlocking dependable responses with Gemini Enterprise Agent Platform’s Agentic RAG]]></title> 
<description><![CDATA[Data Management ]]></description>
<link>https://tsecurity.de/de/3576394/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Unlocking+dependable+responses+with+Gemini+Enterprise+Agent+Platform%E2%80%99s+Agentic+RAG/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576394/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Unlocking+dependable+responses+with+Gemini+Enterprise+Agent+Platform%E2%80%99s+Agentic+RAG/</guid>
<pubDate>Fri, 05 Jun 2026 13:26:00 +0200</pubDate>
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<title><![CDATA[The ethical dilemmas of AI]]></title> 
<description><![CDATA[How we address the revolution is a question of how we manage its uncertainties ]]></description>
<link>https://tsecurity.de/de/3576393/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+ethical+dilemmas+of+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576393/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+ethical+dilemmas+of+AI/</guid>
<pubDate>Fri, 05 Jun 2026 19:52:17 +0200</pubDate>
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<title><![CDATA[Meta weighs big equity raising after blockbuster Google deal]]></title> 
<description><![CDATA[Facebook parent could sell tens of billions of dollars in new stock as it seeks to finance AI infrastructure ]]></description>
<link>https://tsecurity.de/de/3576392/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meta+weighs+big+equity+raising+after+blockbuster+Google+deal/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576392/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Meta+weighs+big+equity+raising+after+blockbuster+Google+deal/</guid>
<pubDate>Fri, 05 Jun 2026 20:12:32 +0200</pubDate>
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<title><![CDATA[Opinion: New York Schools Need Statewide AI Guidelines]]></title> 
<description><![CDATA[The recent New York State AI Consortium showed that school districts are still figuring out AI independently, making hundreds of local decisions that could harden into hundreds of different local practices. ]]></description>
<link>https://tsecurity.de/de/3576391/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Opinion%3A+New+York+Schools+Need+Statewide+AI+Guidelines/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576391/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Opinion%3A+New+York+Schools+Need+Statewide+AI+Guidelines/</guid>
<pubDate>Fri, 05 Jun 2026 21:10:08 +0200</pubDate>
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<title><![CDATA[S&P 500 rejects SpaceX, also blocking entry for OpenAI and Anthropic]]></title> 
<description><![CDATA[SpaceX won&rsquo;t get easy access to billions of dollars from passive investors. ]]></description>
<link>https://tsecurity.de/de/3576364/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/S%26amp%3BP+500+rejects+SpaceX%2C+also+blocking+entry+for+OpenAI+and+Anthropic/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576364/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/S%26amp%3BP+500+rejects+SpaceX%2C+also+blocking+entry+for+OpenAI+and+Anthropic/</guid>
<pubDate>Fri, 05 Jun 2026 20:45:20 +0200</pubDate>
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<title><![CDATA[Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory]]></title> 
<description><![CDATA[Compare Gemma 4 edge formats: BF16, Q4_0 QAT, and mobile QAT, on published memory numbers and design tradeoffs.
The post Google DeepMind Releases Gemma 4 QAT Checkpoints: Q4_0 and a New Mobile Format Cut On-Device Memory appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3576363/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+DeepMind+Releases+Gemma+4+QAT+Checkpoints%3A+Q4_0+and+a+New+Mobile+Format+Cut+On-Device+Memory/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576363/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Google+DeepMind+Releases+Gemma+4+QAT+Checkpoints%3A+Q4_0+and+a+New+Mobile+Format+Cut+On-Device+Memory/</guid>
<pubDate>Fri, 05 Jun 2026 20:59:38 +0200</pubDate>
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<title><![CDATA[Florida's lawsuit against OpenAI and CEO Altman treats ChatGPT as a defective product and public nuisance]]></title> 
<description><![CDATA[
        Florida is the first US state to sue OpenAI and CEO Sam Altman personally over risks to minors, missing age checks, and inadequate safety investment. The 83-page complaint treats ChatGPT as a product subject to liability and threatens billions in penalties. The legal approach could set a precedent for the entire chatbot industry.
The article Florida&#039;s lawsuit against OpenAI and CEO Altman treats ChatGPT as a defective product and public nuisance appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3576330/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Florida%27s+lawsuit+against+OpenAI+and+CEO+Altman+treats+ChatGPT+as+a+defective+product+and+public+nuisance/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576330/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Florida%27s+lawsuit+against+OpenAI+and+CEO+Altman+treats+ChatGPT+as+a+defective+product+and+public+nuisance/</guid>
<pubDate>Fri, 05 Jun 2026 20:19:31 +0200</pubDate>
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<title><![CDATA["We pissed off a lot of people": Giant data center plan cut 50% amid protests]]></title> 
<description><![CDATA[Developer felt &quot;beaten up,&quot; with &quot;no choice&quot; but to shrink data center. ]]></description>
<link>https://tsecurity.de/de/3576329/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%22We+pissed+off+a+lot+of+people%22%3A+Giant+data+center+plan+cut+50%25+amid+protests/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576329/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%22We+pissed+off+a+lot+of+people%22%3A+Giant+data+center+plan+cut+50%25+amid+protests/</guid>
<pubDate>Fri, 05 Jun 2026 20:23:00 +0200</pubDate>
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<title><![CDATA[GitHub adds new Copilot features as usage-based billing takes effect]]></title> 
<description><![CDATA[

					  
						




GitHub is expanding Copilot beyond the IDE with a new desktop application and a new collaborative work surface called canvas as part of its broader efforts to pitch the AI-assisted coding tool as the control center for agent-native software development.



The desktop application announced at Microsoft&rsquo;s annual Build conference this week is designed to give developers a dedicated environment for working with AI agents throughout the software development lifecycle, rather than limiting those interactions to code-generation tasks inside an editor, the company wrote in a blog post.



The application includes a collaborative workspace called canvas where developers can brainstorm ideas, refine requirements, generate plans, and iterate on projects alongside AI, it said.



It also has new Agent Merge and code review features that enable developers to automate Copilot to combine tasks of different agents to complete a specific goal or conduct autonomous code reviews according to set standards, it said.



These new features could reduce context switching, increase engineering efficiency, and accelerate delivery cycles, said Phil Fersht, CEO of HFS Research.



Shift in pricing justified?



However, despite the new features, much of the conversation among developers in recent weeks has centered on a different topic: this week&rsquo;s shift to a usage-based billing model for GitHub Copilot that it announced in April.



The changes were met with a wave of criticism on the GitHub community forum, where some users accused the company of a &ldquo;bait and switch,&rdquo; while others requested refunds or announced plans to cancel their subscriptions.



For analysts, though, the pricing change was, at least from GitHub&rsquo;s point of view, necessary and justified.



&ldquo;The pricing change is justified by where GitHub is going, not by where the product is today. Running multiple agents in parallel with sandboxes, canvas reviews, and Agent Merge looping through CI is closer to cloud compute than an IDE plugin, and you cannot price compute on a flat seat fee. So metered billing is the right call structurally,&rdquo; said Advait Patel, a senior reliability engineer at Broadcom.



Fersht said developers and CIOs need to focus on Copilot&rsquo;s metamorphosis from being a coding assistant into a platform for orchestrating software-development agents and workflows.



&ldquo;That changes the ROI conversation significantly. CIOs should stop thinking about Copilot as a seat-license productivity tool and instead evaluate it as an AI-powered software delivery platform,&rdquo; he said. &ldquo;The metrics shift from &lsquo;lines of code generated&rsquo; to broader operational outcomes such as release velocity, code quality, defect reduction and engineering efficiency.&rdquo;



GitHub is not the first company offering vibe-coding tools to rethink its pricing strategy as AI agents proliferate across enterprises and evolve to take on more complex software-development tasks that are computationally more intensive.



Over the past year, platforms such as Claude Code, Replit, Cursor, and Kiro have repeatedly adjusted their pricing structures to account for mounting infrastructure costs, limited GPU availability, and the expense of serving increasingly sophisticated AI models and agents, despite furor among their users.



For CIOs, the challenge is proving ROI



That common pressure across AI coding vendors is why Amit Chandak, chief analytics officer at IT consulting firm Kanerika, thinks developers and CIOs should focus less on GitHub&rsquo;s pricing mechanics and more on whether these increasingly capable tools are delivering measurable business value.



&ldquo;The new features that GitHub announced can act as productivity multipliers as well as features that increase consumption without delivering proportional business value. Without productivity baselines established before adoption, enterprises risk absorbing higher costs with no clear line back to delivered value,&rdquo; Chandak said.



For Fersht, developers and CIOs will need to focus on governance, monitoring and financial controls as the pricing model is changing.



&ldquo;The governance challenge is very real. Autonomous agents can continuously reason, test, revise and interact with multiple systems in ways that create far less predictable consumption patterns than traditional SaaS tools,&rdquo; he said.



Patel, however, advised users and decision-makers to be more skeptical, especially since the new features are currently in technical preview.



&ldquo;Customers are being asked to pay variable rates now for value that has not been validated in production. Do not assume new capabilities justify higher spend,&rdquo; he said. &ldquo;Instead, run a 90 day pilot, measure PRs merged per dollar before and after, and let the data decide. If the ratio improves, the pricing is fair. If it does not, you are paying for promise, not delivery,&rdquo; Patel added.

 ]]></description>
<link>https://tsecurity.de/de/3576235/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/GitHub+adds+new+Copilot+features+as+usage-based+billing+takes+effect/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576235/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/GitHub+adds+new+Copilot+features+as+usage-based+billing+takes+effect/</guid>
<pubDate>Fri, 05 Jun 2026 19:32:00 +0200</pubDate>
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<title><![CDATA[Patching fast and slow: Ruby devs delay to defend against supply chain attack]]></title> 
<description><![CDATA[
		
					  
						




The team behind RubyGems, a package hosting site for Ruby developers, has added a new feature to bundler, a tool for managing Ruby packages (or &lsquo;gems&rsquo;) to protect developers against the recent wave of software supply chain attacks: A cooling-off period before recently updated packages are installed on their systems.



Recent attacks on software repositories have focused on stealing developer credentials in order to introduce malicious code into the packages they create, which then steals more developers&rsquo; credentials when they install the malicious updates, and so on. Users of the repositories are vulnerable if they download an affected package during the short interval between it being interfered with and the malicious additions being discovered and removed.



To counteract this, RubyGems team has added a new cooldown argument to Bundler that takes ignores gems until they have been published for a specified number of days. This provides an additional layer of defense against malicious package releases as it gives others an opportunity to identify any malicious code they contain before installation.



The cooldown system works by checking the timestamp of any new versions of gems. Any new additions to the source will have to come from older versions, any new additions will be delayed until they are validated.



In situations where waiting is unhelpful &mdash; for instance when a known-good package is released to patch a dangerous security flaw &mdash; the delay can be overridden.
 ]]></description>
<link>https://tsecurity.de/de/3576177/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Patching+fast+and+slow%3A+Ruby+devs+delay+to+defend+against+supply+chain+attack/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576177/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Patching+fast+and+slow%3A+Ruby+devs+delay+to+defend+against+supply+chain+attack/</guid>
<pubDate>Fri, 05 Jun 2026 19:04:57 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Chips sell-off punctures Wall Street’s winning streak]]></title> 
<description><![CDATA[Nasdaq Composite drops 3% as nerves spread ahead of blockbuster SpaceX listing ]]></description>
<link>https://tsecurity.de/de/3576176/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Chips+sell-off+punctures+Wall+Street%E2%80%99s+winning+streak/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576176/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Chips+sell-off+punctures+Wall+Street%E2%80%99s+winning+streak/</guid>
<pubDate>Fri, 05 Jun 2026 19:07:19 +0200</pubDate>
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<item> 
<title><![CDATA[Microsoft identifies seven new ways AI agents can be hacked]]></title> 
<description><![CDATA[
		
					  
						




Microsoft has identified seven new failure modes in agentic AI systems, in addition to those it identified last year in its first Taxonomy of Failure Modes in Agentic AI Systems.



Four things contributed to the growing list of ways agentic AI can go wrong: the speed at which the technology went mainstream, the growing maturity of the Model Context Protocol (MCP) ecosystem, the rise of computer-use agents, and finally the gathering of more empirical evidence as researchers obtained more real-life findings.



The seven new failure modes it has identified are:




Agentic Supply Chain Compromise &mdash;agent behavior can be affected by natural language rather than malicious code;



Goal Hijacking &mdash; adversarial instructions appear aligned with legitimate task completion, while silently redirecting the agent&rsquo;s terminal goal;



Inter-Agent Trust Escalation &mdash;a compromised agent asserts false identity or inflates claimed permissions to an orchestrator;



Computer Use Agent (CUA) Visual Attack &mdash; agents operating through graphical interfaces can be manipulated through content that carries adversarial instructions for the agent;



Session Context Contamination &mdash;an adversary introduces data that biases the agent&rsquo;s reasoning in subsequent steps, without triggering safety controls at any individual step;



MCP / Plugin Abuse &mdash; an update on the original taxonomy&rsquo;s coverage of function compromise around MCP and plugin protocols, specifically attack surfaces specific to those protocols;



Capability / Architecture Disclosure &mdash;an agent reveals internal implementation details such as tool names and schemas, system-prompt structure, memory interfaces, or consent/human-in-the-loop trigger logic.




Microsoft advises security teams using these definitions to influence their planning to inventory their your supply chain, generating a software bill of materials (SBOM) for every deployed agent, to verify agent identity cryptographically, not positionally, by issuing attestable credentials at provisioning, to add the seven new failure modes to their red-team coverage matrix, and to audit the human-in-the-loop user experience as a security control.




 ]]></description>
<link>https://tsecurity.de/de/3576175/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+identifies+seven+new+ways+AI+agents+can+be+hacked/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576175/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+identifies+seven+new+ways+AI+agents+can+be+hacked/</guid>
<pubDate>Fri, 05 Jun 2026 19:14:24 +0200</pubDate>
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<item> 
<title><![CDATA[Labour will make AI ‘work for the workers’, says Liz Kendall]]></title> 
<description><![CDATA[Technology secretary promises to support people whose jobs are swept away by automationLiz Kendall has insisted Labour will make artificial intelligence &ldquo;work for workers&rdquo;, and not abandon people whose jobs are swept away by its rapid advance.With public fears mounting about the impact of AI on employment, particularly for young people, the technology secretary claimed that the government could shape the way it is adopted. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3576119/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Labour+will+make+AI+%E2%80%98work+for+the+workers%E2%80%99%2C+says+Liz+Kendall/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576119/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Labour+will+make+AI+%E2%80%98work+for+the+workers%E2%80%99%2C+says+Liz+Kendall/</guid>
<pubDate>Fri, 05 Jun 2026 19:00:04 +0200</pubDate>
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<item> 
<title><![CDATA[My AI Couldn’t See My Files — I Built a Zero-Dependency MCP Server]]></title> 
<description><![CDATA[I got tired of copying files into an AI chat just to get feedback. So I built a pure Python MCP server that gives AI tools direct access to my local project&mdash;no frameworks, no dependencies. It runs over stdio for local use and switches to HTTP/SSE for concurrent clients with a single flag. The result: 5 clients, under 50ms, and a design that stays simple without sacrificing capability.
The post My AI Couldn&rsquo;t See My Files &mdash; I Built a Zero-Dependency MCP Server appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3576080/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/My+AI+Couldn%E2%80%99t+See+My+Files+%E2%80%94+I+Built+a+Zero-Dependency+MCP+Server/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576080/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/My+AI+Couldn%E2%80%99t+See+My+Files+%E2%80%94+I+Built+a+Zero-Dependency+MCP+Server/</guid>
<pubDate>Fri, 05 Jun 2026 18:30:00 +0200</pubDate>
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<item> 
<title><![CDATA[This is your laptop… on AI]]></title> 
<description><![CDATA[We&#039;re now deep into developer conference season, and one of the themes so far is the relentless conviction from Big Tech companies that AI is going to change everything about how we do everything. Nvidia&#039;s Jensen Huang made that clearer than anyone this week, when he described a completely new way of using our laptops [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3576079/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+is+your+laptop%E2%80%A6+on+AI/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3576079/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+is+your+laptop%E2%80%A6+on+AI/</guid>
<pubDate>Fri, 05 Jun 2026 18:39:07 +0200</pubDate>
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<item> 
<title><![CDATA[Anthropic’s AI services are too expensive, says Microsoft AI head]]></title> 
<description><![CDATA[
		
					  
						




Projection, much? Microsoft&rsquo;s head of AI has accused a rival&rsquo;s AI service of being too pricey, just as the introduction of usage-based pricing for GitHub Copilot begins to hit developers using its own services.



&ldquo;Anthropic is extremely expensive and I think many people are urgently looking for alternatives,&rdquo; Mustafa Suleyman, CEO of Microsoft AI, told Bloomberg News.



The spotlight is on the cost of AI services at the moment, with so many different parts of the business using the technology while at the same time many businesses are finding it hard to report any meaningful ROI.



This week, Microsoft at its annual Build conference looked to fight back against this when it announced seven new AI models, emphasizing the lower cost. The company hopes that cheaper AI models will mean more enterprises find that AI projects are viable. In 2025, Gartner reported that many such endeavors would be cancelled by 2027: cheaper implementations could be the way forward.



Microsoft clearly sees its own AI developer tools as a better deal than those of Anthropic: Last month it was reported that Microsoft would cancel most of its Claude Code licenses at the end of the half-year period in June, moving engineers to its own CoPilot tool.



This article first appeared on CIO.
 ]]></description>
<link>https://tsecurity.de/de/3575997/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+AI+services+are+too+expensive%2C+says+Microsoft+AI+head/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575997/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+AI+services+are+too+expensive%2C+says+Microsoft+AI+head/</guid>
<pubDate>Fri, 05 Jun 2026 18:13:05 +0200</pubDate>
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<item> 
<title><![CDATA[Flyover No More: Central Ohio Becomes Hub for Tech and Manufacturing]]></title> 
<description><![CDATA[Tech titans and Silicon Valley transplants changed the Columbus area, but not everyone is thrilled about the rapid transformation. ]]></description>
<link>https://tsecurity.de/de/3575940/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Flyover+No+More%3A+Central+Ohio+Becomes+Hub+for+Tech+and+Manufacturing/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575940/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Flyover+No+More%3A+Central+Ohio+Becomes+Hub+for+Tech+and+Manufacturing/</guid>
<pubDate>Fri, 05 Jun 2026 17:42:39 +0200</pubDate>
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<item> 
<title><![CDATA[Fifa expanding AI use at World Cup to reduce amount of abuse seen by players]]></title> 
<description><![CDATA[Social media protection service offered by FifaEnglish FA yet to confirm whether it will use serviceFifa will expand the use of AI at the World Cup to reduce the amount of abusive messages that teams and players are exposed to on social media.World football&rsquo;s governing body introduced a social media protection service after the 2022 World Cup in Qatar and has offered its moderation element for free to all football associations at the 2026 tournament, which starts next Thursday. The Football Association has not confirmed whether it is taking up the offer. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3575939/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Fifa+expanding+AI+use+at+World+Cup+to+reduce+amount+of+abuse+seen+by+players/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575939/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Fifa+expanding+AI+use+at+World+Cup+to+reduce+amount+of+abuse+seen+by+players/</guid>
<pubDate>Fri, 05 Jun 2026 18:00:03 +0200</pubDate>
</item>
<item> 
<title><![CDATA[This Week in AI: Production Viability]]></title> 
<description><![CDATA[On this week&rsquo;s episode, host and the founder of AI advisory firm Intelligence Briefing Andreas Welsch brought together Maya Mikhailov, cofounder and CEO of Savvi AI, and Doug Shannon, generative AI and intelligent automation leader, to cover a handful of interconnected topics that practitioners are navigating right now: OpenAI&rsquo;s push into personal finance, the role [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3575938/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+Week+in+AI%3A+Production+Viability/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575938/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/This+Week+in+AI%3A+Production+Viability/</guid>
<pubDate>Fri, 05 Jun 2026 18:04:02 +0200</pubDate>
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<item> 
<title><![CDATA[Anthropic urges ‘temporary pause’ on AI development to discuss risks]]></title> 
<description><![CDATA[Announcement that &lsquo;policymakers&rsquo; need to be convened by US firm viewed as marketing ploy by some expertsAnthropic has floated the idea of a worldwide &ldquo;temporary pause&rdquo; on AI development &ndash; and said it was going to convene &ldquo;policymakers&rdquo; to discuss the dangers of advanced AI &ndash; in its latest release touting the capabilities of its products.In a long post on Thursday, Anthropic detailed the progress of its AI model, Claude, towards &ldquo;recursive self improvement&rdquo; &ndash; that is, being able to make better and more powerful versions of itself. Recursive self-improvement is a bugbear of AI safety researchers, viewed as the key step for AI to become superintelligent and therefore unleash widespread consequences on humanity. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3575882/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+urges+%E2%80%98temporary+pause%E2%80%99+on+AI+development+to+discuss+risks/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575882/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+urges+%E2%80%98temporary+pause%E2%80%99+on+AI+development+to+discuss+risks/</guid>
<pubDate>Fri, 05 Jun 2026 17:35:24 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The Fitbit Air is great, but Google's AI is too nice to be your "coach"]]></title> 
<description><![CDATA[The Air succeeds as a minimalist, reliable fitness tracker, but Google&#039;s AI Health Coach feels unnecessary. ]]></description>
<link>https://tsecurity.de/de/3575881/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Fitbit+Air+is+great%2C+but+Google%27s+AI+is+too+nice+to+be+your+%22coach%22/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575881/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Fitbit+Air+is+great%2C+but+Google%27s+AI+is+too+nice+to+be+your+%22coach%22/</guid>
<pubDate>Fri, 05 Jun 2026 17:40:48 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy]]></title> 
<description><![CDATA[How a simple choice shapes exploration, safety, and efficiency
The post The Fundamental Choice in Reinforcement Learning: On‑Policy vs. Off‑Policy appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3575826/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Fundamental+Choice+in+Reinforcement+Learning%3A+On%E2%80%91Policy+vs.+Off%E2%80%91Policy/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575826/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Fundamental+Choice+in+Reinforcement+Learning%3A+On%E2%80%91Policy+vs.+Off%E2%80%91Policy/</guid>
<pubDate>Fri, 05 Jun 2026 17:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Satya Nadella publicly torches a VP's plan to make Microsoft's AI agent deliberately addictive]]></title> 
<description><![CDATA[
        Microsoft CEO Satya Nadella has sharply criticized an internal memo proposing to make users &quot;addicted&quot; to the company&#039;s new AI agent Scout. &quot;Not sure who is writing and leaking this nonsense,&quot; Nadella wrote to about 50 top engineers. AI should empower people, and Scout should actually lead to less screen time.
The article Satya Nadella publicly torches a VP&#039;s plan to make Microsoft&#039;s AI agent deliberately addictive appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3575825/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Satya+Nadella+publicly+torches+a+VP%27s+plan+to+make+Microsoft%27s+AI+agent+deliberately+addictive/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575825/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Satya+Nadella+publicly+torches+a+VP%27s+plan+to+make+Microsoft%27s+AI+agent+deliberately+addictive/</guid>
<pubDate>Fri, 05 Jun 2026 17:33:56 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The token bill comes due: Inside the industry scramble to manage AI’s runaway costs]]></title> 
<description><![CDATA[&quot;The whole conversation shifted from tokenmaxxing and &#039;go fast&#039; to &#039;we need guardrails, how do we control this?&#039;&quot; ]]></description>
<link>https://tsecurity.de/de/3575750/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+token+bill+comes+due%3A+Inside+the+industry+scramble+to+manage+AI%E2%80%99s+runaway+costs/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575750/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+token+bill+comes+due%3A+Inside+the+industry+scramble+to+manage+AI%E2%80%99s+runaway+costs/</guid>
<pubDate>Fri, 05 Jun 2026 16:49:12 +0200</pubDate>
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<item> 
<title><![CDATA[NSA said to be readying Anthropic’s Mythos for use in cyber operations]]></title> 
<description><![CDATA[The U.S. eavesdropping agency is reportedly preparing Anthropic&#039;s Mythos for use in cyberattacks, despite a federal ban on using the AI model maker. ]]></description>
<link>https://tsecurity.de/de/3575684/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NSA+said+to+be+readying+Anthropic%E2%80%99s+Mythos+for+use+in+cyber+operations/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575684/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NSA+said+to+be+readying+Anthropic%E2%80%99s+Mythos+for+use+in+cyber+operations/</guid>
<pubDate>Fri, 05 Jun 2026 16:32:57 +0200</pubDate>
</item>
<item> 
<title><![CDATA[A Deep Dive into Calibration of Language Models: Platt Scaling, Isotonic Regression, Temperature Scaling]]></title> 
<description><![CDATA[Discover three post-hoc methods for closing the gap between confidence and accuracy. ]]></description>
<link>https://tsecurity.de/de/3575645/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+Deep+Dive+into+Calibration+of+Language+Models%3A+Platt+Scaling%2C+Isotonic+Regression%2C+Temperature+Scaling/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575645/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+Deep+Dive+into+Calibration+of+Language+Models%3A+Platt+Scaling%2C+Isotonic+Regression%2C+Temperature+Scaling/</guid>
<pubDate>Fri, 05 Jun 2026 16:00:11 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Automate Writing Your LLM Prompts]]></title> 
<description><![CDATA[Using DSPy to automatically create, evaluate, and optimize your prompts
The post Automate Writing Your LLM Prompts appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3575553/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Automate+Writing+Your+LLM+Prompts/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575553/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Automate+Writing+Your+LLM+Prompts/</guid>
<pubDate>Fri, 05 Jun 2026 15:30:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[AirTrunk commits $30B to build 5GW of AI data centers in India]]></title> 
<description><![CDATA[The Australian data center operator plans to set up 5GW of capacity in India. ]]></description>
<link>https://tsecurity.de/de/3575433/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AirTrunk+commits+%2430B+to+build+5GW+of+AI+data+centers+in+India/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575433/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/AirTrunk+commits+%2430B+to+build+5GW+of+AI+data+centers+in+India/</guid>
<pubDate>Fri, 05 Jun 2026 15:03:10 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Anthropic’s Call for A.I. Nonproliferation]]></title> 
<description><![CDATA[The artificial intelligence giant said a &ldquo;brake pedal&rdquo; was needed to protect humanity from self-improving models. The proposal could have big consequences. ]]></description>
<link>https://tsecurity.de/de/3575395/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+Call+for+A.I.+Nonproliferation/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575395/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%E2%80%99s+Call+for+A.I.+Nonproliferation/</guid>
<pubDate>Fri, 05 Jun 2026 14:19:20 +0200</pubDate>
</item>
<item> 
<title><![CDATA[The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains]]></title> 
<description><![CDATA[This is today&rsquo;s edition of The Download, our weekday newsletter that provides a daily dose of what&rsquo;s going on in the world of technology. The Meta hack shows there&rsquo;s more to AI security than Mythos On Monday, reports emerged that attackers had used Meta&rsquo;s AI customer support agent to steal Instagram accounts. Their approach was&hellip; ]]></description>
<link>https://tsecurity.de/de/3575371/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Download%3A+AI+hacking+beyond+Mythos%2C+and+chatbots%E2%80%99+impact+on+our+brains/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575371/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Download%3A+AI+hacking+beyond+Mythos%2C+and+chatbots%E2%80%99+impact+on+our+brains/</guid>
<pubDate>Fri, 05 Jun 2026 14:10:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[How to Fine-Tune an SLM for Emotion Recognition]]></title> 
<description><![CDATA[Python tutorial for fine-tuning a Mistral Small 3.1 on an imbalanced training set to classify 15 emotions in social media communication
The post How to Fine-Tune an SLM for Emotion Recognition appeared first on Towards Data Science. ]]></description>
<link>https://tsecurity.de/de/3575326/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+to+Fine-Tune+an+SLM+for+Emotion+Recognition/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575326/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+to+Fine-Tune+an+SLM+for+Emotion+Recognition/</guid>
<pubDate>Fri, 05 Jun 2026 14:00:00 +0200</pubDate>
</item>
<item> 
<title><![CDATA[3 SpaCy Tricks for Efficient Text Processing & Entity Recognition]]></title> 
<description><![CDATA[In this article, we will explore three essential spaCy tricks that every developer should have in their toolkit to maximize processing speed and customize entity recognition. ]]></description>
<link>https://tsecurity.de/de/3575325/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/3+SpaCy+Tricks+for+Efficient+Text+Processing+%26amp%3B+Entity+Recognition/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575325/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/3+SpaCy+Tricks+for+Efficient+Text+Processing+%26amp%3B+Entity+Recognition/</guid>
<pubDate>Fri, 05 Jun 2026 14:00:45 +0200</pubDate>
</item>
<item> 
<title><![CDATA[Microsoft trained its MAI models on unlicensed web data despite promising "enterprise grade, clean and commercially licensed data"]]></title> 
<description><![CDATA[
        Microsoft sells its LLM training approach as different from other AI companies. It isn&#039;t. The company trained its new MAI models partly on unlicensed web data like Common Crawl, despite claiming they used only &quot;clean and commercially licensed data.&quot; Like every other AI lab, Microsoft leans on fair use and puts the burden on site owners to block its crawlers.
The article Microsoft trained its MAI models on unlicensed web data despite promising &quot;enterprise grade, clean and commercially licensed data&quot; appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3575324/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+trained+its+MAI+models+on+unlicensed+web+data+despite+promising+%22enterprise+grade%2C+clean+and+commercially+licensed+data%22/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575324/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+trained+its+MAI+models+on+unlicensed+web+data+despite+promising+%22enterprise+grade%2C+clean+and+commercially+licensed+data%22/</guid>
<pubDate>Fri, 05 Jun 2026 14:10:26 +0200</pubDate>
</item>
<item> 
<title><![CDATA[How C3 AI agents will automate predictive maintenance for Shell]]></title> 
<description><![CDATA[Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment across upstream and downstream operations. Shell now intends to lean [&hellip;]
The post How C3 AI agents will automate predictive maintenance for Shell appeared first on AI News. ]]></description>
<link>https://tsecurity.de/de/3575234/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+C3+AI+agents+will+automate+predictive+maintenance+for+Shell/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575234/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+C3+AI+agents+will+automate+predictive+maintenance+for+Shell/</guid>
<pubDate>Fri, 05 Jun 2026 13:34:09 +0200</pubDate>
</item>
<item> 
<title><![CDATA[15 Best Vibe Coding Tools in 2026 Compared: Pricing, Features, and Best Fit]]></title> 
<description><![CDATA[Vibe coding turns plain language into working software. Explore 15 tools shaping how developers build apps in 2026.
The post 15 Best Vibe Coding Tools in 2026 Compared: Pricing, Features, and Best Fit appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3575198/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/15+Best+Vibe+Coding+Tools+in+2026+Compared%3A+Pricing%2C+Features%2C+and+Best+Fit/</link>
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<pubDate>Fri, 05 Jun 2026 10:07:46 +0200</pubDate>
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<title><![CDATA[Microsoft Fara Tutorial: Run a Browser-Use Agent in Google Colab with a Mock OpenAI-Compatible Endpoint]]></title> 
<description><![CDATA[A hands-on guide to running Microsoft Fara in Colab, testing the browser agent loop with a mock endpoint.
The post Microsoft Fara Tutorial: Run a Browser-Use Agent in Google Colab with a Mock OpenAI-Compatible Endpoint appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3575197/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+Fara+Tutorial%3A+Run+a+Browser-Use+Agent+in+Google+Colab+with+a+Mock+OpenAI-Compatible+Endpoint/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575197/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Microsoft+Fara+Tutorial%3A+Run+a+Browser-Use+Agent+in+Google+Colab+with+a+Mock+OpenAI-Compatible+Endpoint/</guid>
<pubDate>Fri, 05 Jun 2026 11:04:55 +0200</pubDate>
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<title><![CDATA[Perplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing]]></title> 
<description><![CDATA[Perplexity AI announces a hybrid local-server inference orchestrator for Personal Computer, automatically routing AI tasks between on-device and cloud models.
The post Perplexity AI Introduces Hybrid Local-Server Inference Orchestrator for Personal Computer: Automatic On-Device and Cloud Task Routing appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3575196/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Perplexity+AI+Introduces+Hybrid+Local-Server+Inference+Orchestrator+for+Personal+Computer%3A+Automatic+On-Device+and+Cloud+Task+Routing/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575196/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Perplexity+AI+Introduces+Hybrid+Local-Server+Inference+Orchestrator+for+Personal+Computer%3A+Automatic+On-Device+and+Cloud+Task+Routing/</guid>
<pubDate>Fri, 05 Jun 2026 11:44:39 +0200</pubDate>
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<title><![CDATA[NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes]]></title> 
<description><![CDATA[NVIDIA Dynamo Snapshot checkpoints and restores vLLM inference workers on Kubernetes using CRIU and cuda-checkpoint tools.
The post NVIDIA AI Releases Dynamo Snapshot: A CRIU-Based Fast Startup System for AI Inference on Kubernetes appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3575195/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+AI+Releases+Dynamo+Snapshot%3A+A+CRIU-Based+Fast+Startup+System+for+AI+Inference+on+Kubernetes/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575195/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+AI+Releases+Dynamo+Snapshot%3A+A+CRIU-Based+Fast+Startup+System+for+AI+Inference+on+Kubernetes/</guid>
<pubDate>Fri, 05 Jun 2026 12:23:12 +0200</pubDate>
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<title><![CDATA[Anthropic's Mythos model is reportedly powering NSA offensive cyber ops against China and Iran]]></title> 
<description><![CDATA[
        Anthropic has reportedly stationed about half a dozen engineers directly at the NSA to adapt its Mythos AI model for offensive cyber operations. The model could be used to break into networks in China or Iran. That fits Anthropic&#039;s broader stance: the company&#039;s promises around restricting AI use, for mass surveillance, for example, explicitly apply only to US citizens.
The article Anthropic&#039;s Mythos model is reportedly powering NSA offensive cyber ops against China and Iran appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3575194/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%27s+Mythos+model+is+reportedly+powering+NSA+offensive+cyber+ops+against+China+and+Iran/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575194/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic%27s+Mythos+model+is+reportedly+powering+NSA+offensive+cyber+ops+against+China+and+Iran/</guid>
<pubDate>Fri, 05 Jun 2026 13:15:28 +0200</pubDate>
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<title><![CDATA[I Let an AI Agent Run 40 Experiments While I Slept]]></title> 
<description><![CDATA[I set up an AI agent on a rented GPU, pointed it at a training script, and went to bed. By morning it had run 40 experiments, improved validation loss by 5.9%, and cut memory usage from 44 GB to 17 GB. It also spent four hours chasing a bug that a linter introduced behind [&hellip;] ]]></description>
<link>https://tsecurity.de/de/3575058/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/I+Let+an+AI+Agent+Run+40+Experiments+While+I+Slept/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575058/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/I+Let+an+AI+Agent+Run+40+Experiments+While+I+Slept/</guid>
<pubDate>Fri, 05 Jun 2026 12:27:18 +0200</pubDate>
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<title><![CDATA[OpenAI and Anthropic May Be Rivals, but Investors Aren’t Picking Sides]]></title> 
<description><![CDATA[&ldquo;Why wouldn&rsquo;t you want to be in both Pepsi and Coke?&rdquo; says one venture capitalist. &ldquo;It&rsquo;s the same here.&rdquo; ]]></description>
<link>https://tsecurity.de/de/3575057/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+and+Anthropic+May+Be+Rivals%2C+but+Investors+Aren%E2%80%99t+Picking+Sides/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3575057/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/OpenAI+and+Anthropic+May+Be+Rivals%2C+but+Investors+Aren%E2%80%99t+Picking+Sides/</guid>
<pubDate>Fri, 05 Jun 2026 12:30:00 +0200</pubDate>
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<title><![CDATA[Anthropic says Claude now writes over 90% of its code and wants the world to have an AI pause button]]></title> 
<description><![CDATA[
        Anthropic is sharing internal data showing how much Claude is speeding up its own AI development: more than 80 percent of production code now comes from Claude, and engineers are shipping eight times as much code per day as in 2024. The goal is AI that improves itself, which would trigger a massive acceleration. This is why Anthropic is now pushing for the option of a verifiable, global development pause. The company says it would stop if other frontier labs demonstrably do the same.
The article Anthropic says Claude now writes over 90% of its code and wants the world to have an AI pause button appeared first on The Decoder. ]]></description>
<link>https://tsecurity.de/de/3574982/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+says+Claude+now+writes+over+90%25+of+its+code+and+wants+the+world+to+have+an+AI+pause+button/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574982/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Anthropic+says+Claude+now+writes+over+90%25+of+its+code+and+wants+the+world+to+have+an+AI+pause+button/</guid>
<pubDate>Fri, 05 Jun 2026 10:45:29 +0200</pubDate>
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<title><![CDATA[The Meta hack shows there’s more to AI security than Mythos]]></title> 
<description><![CDATA[On June 5, 404 Media reported that attackers had been using Meta&rsquo;s AI customer support agent to steal Instagram accounts. Their approach was simple: They asked the agent to link the accounts to email addresses that they controlled, and the agent complied. One attacker broke into the dormant Obama White House account and made pro-Iran&hellip; ]]></description>
<link>https://tsecurity.de/de/3574981/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Meta+hack+shows+there%E2%80%99s+more+to+AI+security+than+Mythos/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574981/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+Meta+hack+shows+there%E2%80%99s+more+to+AI+security+than+Mythos/</guid>
<pubDate>Fri, 05 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA['The best solution is to murder him in his sleep': AI can learn violent tendencies from each other despite zero references to violence in training data]]></title> 
<description><![CDATA[Scientists found that AI models can inherit a taste for murder (or owls) from other models&#039; training data. ]]></description>
<link>https://tsecurity.de/de/3574980/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%27The+best+solution+is+to+murder+him+in+his+sleep%27%3A+AI+can+learn+violent+tendencies+from+each+other+despite+zero+references+to+violence+in+training+data/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574980/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/%27The+best+solution+is+to+murder+him+in+his+sleep%27%3A+AI+can+learn+violent+tendencies+from+each+other+despite+zero+references+to+violence+in+training+data/</guid>
<pubDate>Fri, 05 Jun 2026 12:00:00 +0200</pubDate>
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<title><![CDATA[Are AI chatbots making us lose control of our brains?]]></title> 
<description><![CDATA[This week I&rsquo;ve been at SXSW London. There&rsquo;s been music, film, and a lot&mdash;and I mean a lot&mdash;of talk about AI. I also had the opportunity to sit down with Gloria Mark, a psychologist at the University of California, Irvine, who has spent the last 30 years studying how people interact with digital technologies. Early&hellip; ]]></description>
<link>https://tsecurity.de/de/3574928/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Are+AI+chatbots+making+us+lose+control+of+our+brains%3F/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574928/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Are+AI+chatbots+making+us+lose+control+of+our+brains%3F/</guid>
<pubDate>Fri, 05 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA[Refik Anadol’s Dataland: You Feel the A.I. Art, and It Feels You Back]]></title> 
<description><![CDATA[A look inside Dataland in Los Angeles, dedicated entirely to A.I.-generated art. Refik Anadol, its founder, says it&rsquo;s for human dreamers. Will critics be convinced? ]]></description>
<link>https://tsecurity.de/de/3574927/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Refik+Anadol%E2%80%99s+Dataland%3A+You+Feel+the+A.I.+Art%2C+and+It+Feels+You+Back/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574927/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Refik+Anadol%E2%80%99s+Dataland%3A+You+Feel+the+A.I.+Art%2C+and+It+Feels+You+Back/</guid>
<pubDate>Fri, 05 Jun 2026 11:01:10 +0200</pubDate>
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<title><![CDATA[It’s No Wonder Grads Are Booing Their Commencement Speakers]]></title> 
<description><![CDATA[Companies are trying to automate graduates&rsquo; futures away. No wonder they&rsquo;re furious. ]]></description>
<link>https://tsecurity.de/de/3574926/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+No+Wonder+Grads+Are+Booing+Their+Commencement+Speakers/</link>
<guid isPermaLink="true">https://tsecurity.de/de/3574926/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/It%E2%80%99s+No+Wonder+Grads+Are+Booing+Their+Commencement+Speakers/</guid>
<pubDate>Fri, 05 Jun 2026 11:04:35 +0200</pubDate>
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<title><![CDATA[The real cost of agentic AI]]></title> 
<description><![CDATA[

					  
						




Agentic AI has moved from conference hype to a budget line item. This is where the conversation gets more interesting and more uncomfortable. Unlike traditional AI systems that respond to a single prompt, classify a document, recommend an action, or generate a summary, agentic AI systems are designed to pursue goals. They plan, call tools, inspect results, retry failed steps, consult memory, hand off tasks to other agents, and sometimes critique their own work before producing an answer or taking an action.



That extra autonomy is the value proposition. It also introduces the cost problem.



A single chatbot interaction may consume a few thousand tokens. A useful agentic workflow can consume hundreds of thousands or millions of tokens per day because it does more than answer a question. It decomposes the problem, retrieves context, reasons through options, invokes APIs, checks the output, and often runs multiple passes before reaching a result. Therefore, the economics need to be understood at the level of &ldquo;agent instances,&rdquo; not just model calls.



For the estimates below, I am using a blended token cost of $3 dollars per million tokens. This is not intended to reflect a single vendor&rsquo;s list price. It is a blended planning figure that assumes a mix of input and output tokens, reasoning steps, retrieval-augmented generation, summarization, tool calls, memory updates, and occasional use of larger context windows. Some enterprises will pay less through volume discounts or by routing work to smaller models. Others will pay more by using premium models, long-context prompts, web browsing, large document ingestion, and repeated reasoning loops.



The basic formula is straightforward. If an agent consumes 2 million tokens per day, it consumes 730 million tokens per year. At $3 per million tokens, that single agent costs about $2,190 per year in token burn. That number sounds surprisingly low until you multiply it by the number of agents, workflows, and users, plus the surrounding infrastructure required to run these systems safely.



What an agent really costs 



In the model used here, the annual token-only cost per agent ranges from about $1,095 to $3,833, depending on the use case.




A lightweight HR recruiting or onboarding agent that consumes one million tokens per day costs about $1,095 per year.



A more demanding software engineering agent that consumes 3.5 million tokens per day costs about $3,833 per year.



Customer support agents are roughly $2,190 per year.



Legal contract agents cost about $2,409 per year.



Security triage agents run about $2,738 per year.



Research agents are around $3,066 per year.




These figures are useful but incomplete. They include only LLM token consumption and exclude orchestration platforms, vector databases, observability, model evaluation, security controls, workflow monitoring, human review, enterprise application integration, data pipelines, audit logging, prompt management, and the engineers needed to build and maintain the systems. In real deployments, I would expect the all-in operating cost to be two to five times the raw token cost. For regulated or mission-critical environments, the multiplier can be even higher.



This is where many agentic AI business cases become less clear. The model call may be inexpensive, but the system around the model is not. An agent that can update a customer relationship management system, approve a refund, generate a purchase order, or recommend a security containment action needs guardrails, permissions, logging, rollback mechanisms, and human escalation paths. These are not optional features. They are the difference between a demo and an enterprise system.



Use cases that make economic sense



Customer support is one of the more obvious use cases. A typical support automation deployment may use eight agents: an intake classifier, a knowledge retrieval agent, a response drafting agent, an escalation agent, a quality review agent, a CRM update agent, a sentiment detection agent, and an analytics agent. At two million tokens per agent per day, each agent costs about $2,190 per year in token burn, bringing the annual total to roughly $17,520. If that system deflects even a modest number of tickets or improves agent productivity, the economics can be attractive.



Sales development is another practical example. A five-agent system for account research, lead enrichment, email personalization, CRM updates, and follow-up scheduling may consume 1.2 million tokens per agent per day. That results in an annual cost of about $1,314 per agent, or $6,570 for the full agent team. This can be compelling if it improves pipeline quality, but it can also be wasteful if agents generate low-quality outreach at scale. The cost of brand damage is not measured in tokens.



Software engineering is more expensive but potentially more valuable. A 12-agent system covering requirements analysis, architecture, code generation, testing, review, security checks, documentation, CI debugging, refactoring, release notes, dependency analysis, and hot-fix support may consume 3.5 million tokens per agent per day. That works out to about $3,833 per agent annually or roughly $45,990 for the full system. Compared with engineering salaries, the token cost is small. The real question is whether the system reliably improves throughput without increasing defects, security vulnerabilities, or maintenance complexity.



Security operations also fit the agentic model because the work is repetitive, time-sensitive, and context-intensive. A 10-agent security triage system could include agents for alert triage, log analysis, threat intelligence, endpoint investigation, network investigation, incident summarization, ticketing, compliance evidence, escalation, and post-mortem. At 2.5 million tokens per agent per day, the annual token cost is about $2,738 per agent or $27,375 for the system. This is easy to justify if it reduces alert fatigue and accelerates response, but risky if the agents hallucinate causality or bury critical signals in confident summaries.



Finance, legal, healthcare administration, market research, HR, and supply chain are also viable:




A six-agent finance close system may cost about $9,855 per year in token burn.



A four-agent legal contract review system may cost about $9,636.



A seven-agent healthcare administrative workflow may cost about $13,797.



Competitive intelligence using six agents may cost $18,396.



HR recruiting and onboarding using five agents may cost $5,475.



Supply chain planning and exception management using eight agents may cost $21,024.




Across all 10 example use cases I&rsquo;ve mentioned in this section, the model assumes 71 agents and a total annual token burn of about $175,638.



The comparison with traditional AI



The economics of agentic AI should always be compared with simpler approaches. Traditional AI, workflow automation, rule engines, robotic process automation, and non-agentic LLM calls are often cheaper, easier to govern, and more predictable. Agentic AI is usually overkill for tasks like classification, extraction, summarization, routing, or drafting within a narrow context. A deterministic workflow with a single model call can do the job at a fraction of the cost and risk.



Agentic systems make sense when the process requires judgment across multiple steps, dynamic planning, tool use, exception handling, and adaptation to incomplete information. They are valuable when the path to the answer cannot be fully scripted in advance. They are less valuable when enterprises use them as a trendy substitute for basic automation.



The best architecture is usually hybrid. Use traditional automation where the process is stable. Use non-agentic AI where the task is bounded. Use agentic AI only where autonomy creates measurable leverage. That means fewer agents, tighter scopes, explicit budgets, model routing, token monitoring, and human checkpoints for high-impact decisions.



The financial mistake many organizations will make is to treat agents as digital employees with near-zero marginal cost. They are not. They are probabilistic software components that consume tokens, trigger tools, create operational dependencies, and require supervision. The token bill may be manageable. The governance bill may not be.



Agentic AI can absolutely be worth the money. In many cases, the annual token burn for a useful agent team is less than the loaded cost of a single employee. But that is not the same as saying it is cheap. Companies must measure agent cost per completed business outcome, not cost per prompt or cost per model call. In the end, the question is not how much an agent costs. Ask yourself the right question: Does the autonomy an agent provides outweigh the complexity it introduces?

 ]]></description>
<link>https://tsecurity.de/de/3574885/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+real+cost+of+agentic+AI/</link>
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<pubDate>Fri, 05 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA[Embedding pipelines are the new ETL]]></title> 
<description><![CDATA[

					  
						




I&rsquo;ve seen a lot of promising AI prototypes fall apart after launch. And it&rsquo;s rarely because the model was bad. More often, the problem starts much earlier; teams treat the data layer like something they can figure out later.



They&rsquo;ll spend weeks fine-tuning prompts, testing models and debating evaluation scores, then throw together the retrieval pipeline over a weekend and move on. At first, everything looks great in demos. But a few months later, the system gives outdated answers; the embeddings no longer match the source documents, and nobody fully understands what changed.



What started as an impressive prototype slowly becomes difficult to trust in production. The teams that avoid this tend to realize one thing early: Embedding pipelines are fundamentally a data engineering problem, not an entirely new AI discipline. It&rsquo;s still ETL (Extract, Load, Transform) at its core, but with embeddings and vector stores as the destination instead of a warehouse.



Once you start looking at it that way, a lot of things become clearer. Problems like versioning, data freshness, lineage and retries stop feeling &ldquo;AI-specific.&rdquo; They&rsquo;re data infrastructure problems we&rsquo;ve already spent years learning how to solve.



Why do we need embedding pipelines?



Large language models are extraordinary reasoners trapped inside a time capsule. When training ends, the model&rsquo;s knowledge is sealed. It does not know what your team decided in last quarter&rsquo;s strategy review. It has never read the support ticket that came in this morning. It cannot find the clause buried on page 47 of your master service agreement. It&rsquo;s brilliant, but blind to anything specific to your organization.



Layer on top of that a hard context window limit, a ceiling on how much text the model can process in a single interaction, and you have a clear problem: you cannot just hand it everything you own.



The answer the industry converged on is retrieval-augmented generation, or RAG. Instead of stuffing everything into the context window, you build a retrieval layer that fetches only the most relevant pieces of information at the moment a question is asked and passes just those to the model. That retrieval layer is powered by a vector database, and the process that populates it, which is taking raw documents and transforming them into searchable semantic representations, is what I mean when I say embedding pipeline.



Every team building an internal AI assistant, a smarter enterprise search tool, an automated customer support agent or a document Q&amp;A system needs one. The question is not whether to build it. The question is whether you build it like a prototype or like infrastructure.



How an embedding pipeline works



An embedding pipeline has three stages: ingestion, chunking and indexing. Here is what each one means and how I relate them to a typical ETL process.



Ingestion is extraction



Getting your raw content, PDFs, wiki pages, Word documents, database records, transcripts, out of wherever it lives and into the pipeline. This is ETL&rsquo;s extract stage, almost verbatim.



I see teams cut corners here more than anywhere else, and it&rsquo;s often where production systems first start to fail. A document gets updated, but the pipeline doesn&rsquo;t pick it up. A file gets deleted, but its chunks remain in the index, still returning outdated answers months later. And because there&rsquo;s no obvious error, no one reports it.



The fix is Change Data Capture (CDC). This maintains a manifest of every document you have ingested, a content hash and a timestamp. On each run, we compare sources against that manifest, re-ingest what changed, delete what is gone and treat your document the way you would treat any source table you are syncing incrementally.



Chunking is transformation



Once your documents are in the pipeline, you cannot embed them whole. A 30-page technical report is too long to represent meaningfully as a single vector, and even if it were not, returning the entire report in response to a narrow question would bury the model in irrelevant context.



Chunking is the process of breaking each document into smaller pieces that are focused enough to embed accurately and retrieve precisely. This is ETL&rsquo;s transform stage, and it deserves the same level of design discipline.



The most common mistake I see is treating chunk size as a default configuration option rather than a product decision. It is not. The right chunk size depends entirely on the nature of your content and the nature of your queries. Dense technical documentation needs finer granularity than a collection of FAQs. A legal contract with clause-level logic needs different treatment than a set of onboarding emails. What works for one document will actively degrade retrieval quality on another.



My strong preference is to treat your chunking configuration as a versioned pipeline parameter, not hardcoded logic. When you change it, and trust me, you will. You need to re-chunk in a controlled, observable way, compare retrieval quality before and after, and roll back if it degrades. That is just good transform-layer hygiene. It is no different from versioning a data cleaning rule or a field mapping.



Indexing is the load



The final stage is where chunked text gets converted into vectors and stored in a vector database where it can be searched by semantic similarity rather than keyword match.



In the conversion step, embedding is handled by a model specifically trained to turn text into dense numerical representations that encode meaning. Two chunks expressing the same idea in different words will produce vectors that cluster close together in that mathematical space. Two chunks discussing entirely different topics will sit far apart. When a user asks a question, the system embeds that question the same way, finds the chunks whose vectors are nearest, and returns them as context for the model to reason over.



That is a genuinely new capability. But the discipline around indexing is not. One data engineering principle I keep coming back to is versioning.



In embedding pipelines, every chunk in your index should be tagged with the embedding model name and version used to generate it, this is non-negotiable. Embedding models evolve, and vectors produced by different versions are not comparable in a reliable way. You cannot safely search across them as if they are interchangeable.



This exact problem shows up when teams upgrade embedding models mid-pipeline without a proper migration plan. You end up mixing vectors from different generations in the same index, and retrieval starts to degrade in ways that are hard to detect. The system just quietly begins returning subtly wrong answers.



I treat an embedding model upgrade the same way I treat a schema migration: Plan it explicitly, execute it in full and validate retrieval quality on a representative query set. The stakes are the same as any breaking change to your data model.



Pipeline observability is not optional



Once an embedding pipeline is running in production, the question shifts from &ldquo;did it run&rdquo; to &ldquo;did it run correctly.&rdquo; That distinction matters more here than in most pipelines, because failures are rarely loud because the index looks fine, queries return without errors and the system quietly surfaces wrong answers until someone notices the AI has stopped being useful.



The same observability discipline that makes any data pipeline trustworthy applies directly here. Once you treat embedding pipelines as production systems, you stop thinking in isolated steps and start thinking in signals. For example, chunk counts per document become a simple but powerful health check, a sudden drop is usually not a model issue, but a sign of broken ingestion or upstream parsing failures.



You also need a &ldquo;golden set&rdquo; of queries with known-good outputs. This runs after every pipeline change, much like data quality checks after a transformation. This is how you catch regressions that don&rsquo;t show up as explicit failures.



On top of that, you can track lineage: Which embedding model version produced which chunks, and when each document was last ingested. That makes it possible to trace retrieval issues back to specific changes instead of guessing.



And finally, freshness becomes a first-class signal. If documents start going stale beyond an acceptable threshold, that should surface in monitoring long before users experience degraded results.



The metric that ties it all together is retrieval quality over time. Treat it like any other pipeline SLA, measured, tracked and owned.



Summary



Embedding pipelines definitely come with a lot of new language, new tools and a genuinely different capability in the semantic layer. But the funny thing is, the principles that actually make them reliable in production are not new at all.



We have versioning, freshness, quality checks and monitoring. These are problems data engineering has already spent years solving.



The real work is taking that same discipline and applying it to a pipeline that just happens to output vectors instead of rows in a table. Once you start seeing it that way, a lot of the chaos around AI systems becomes much easier to reason about.



That&rsquo;s the difference between building a cool AI demo and building something people can actually depend on. One is a prototype, whereas the other is infrastructure.



This article is published as part of the Foundry Expert Contributor Network.Want to join?





 ]]></description>
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<pubDate>Fri, 05 Jun 2026 11:00:00 +0200</pubDate>
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<title><![CDATA[For New Graduates, Job Market Scars Could Linger for Years]]></title> 
<description><![CDATA[The full impact of graduating into this hiring downturn will not come into focus for years, and much remains uncertain, especially about A.I.&rsquo;s role. ]]></description>
<link>https://tsecurity.de/de/3574883/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/For+New+Graduates%2C+Job+Market+Scars+Could+Linger+for+Years/</link>
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<pubDate>Fri, 05 Jun 2026 11:00:48 +0200</pubDate>
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<title><![CDATA[New claimants seek to sue Elon Musk’s xAI after Labour MP’s test case]]></title> 
<description><![CDATA[Jess Asato&rsquo;s lawyer says others want to take action over demeaning sexualised material created by Grok AI toolNew claimants have come forward to take legal action against Elon Musk&rsquo;s company xAI after the Labour MP Jess Asato launched a test case against the firm over demeaning sexualised material created by its Grok AI tool.A handful of complainants contacted Asato&rsquo;s lawyer on Thursday in response to coverage of the MP&rsquo;s decision to sue Musk&rsquo;s company for damages over its creation and circulation of fake images of her in a bikini and an AI-created video that she said showed her &ldquo;being chloroformed and prepared for a sexual assault&rdquo;. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3574500/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/New+claimants+seek+to+sue+Elon+Musk%E2%80%99s+xAI+after+Labour+MP%E2%80%99s+test+case/</link>
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<pubDate>Fri, 05 Jun 2026 08:00:28 +0200</pubDate>
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<title><![CDATA[Mira Murati steps back into the spotlight, carefully]]></title> 
<description><![CDATA[In the current environment, remaining heads down has diminishing returns; at some point, you have to make some noise just to remind the market you exist. ]]></description>
<link>https://tsecurity.de/de/3574444/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Mira+Murati+steps+back+into+the+spotlight%2C+carefully/</link>
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<pubDate>Fri, 05 Jun 2026 07:06:37 +0200</pubDate>
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<title><![CDATA[Podcast: change management in an era of AI disruption]]></title> 
<description><![CDATA[Listen to a conversation between FT journalists and business school specialists about how business leaders should respond to new technology ]]></description>
<link>https://tsecurity.de/de/3574424/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Podcast%3A+change+management+in+an+era+of+AI+disruption/</link>
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<pubDate>Fri, 05 Jun 2026 06:00:16 +0200</pubDate>
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<title><![CDATA[Hedge funds bet against call centre stocks as AI threat grows]]></title> 
<description><![CDATA[Outsourcing companies hit as investors see &lsquo;clean&rsquo; disruption risk ]]></description>
<link>https://tsecurity.de/de/3574423/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Hedge+funds+bet+against+call+centre+stocks+as+AI+threat+grows/</link>
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<pubDate>Fri, 05 Jun 2026 06:00:16 +0200</pubDate>
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<title><![CDATA[Humanoids bring AI’s creative destruction to the shop floor]]></title> 
<description><![CDATA[The anxiety of those whose jobs are at risk won&rsquo;t be enough to stave off the march of the androids ]]></description>
<link>https://tsecurity.de/de/3574422/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Humanoids+bring+AI%E2%80%99s+creative+destruction+to+the+shop+floor/</link>
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<pubDate>Fri, 05 Jun 2026 06:00:16 +0200</pubDate>
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<title><![CDATA[How much value is AI really creating?]]></title> 
<description><![CDATA[Eye-opening changes to the speed and volume of work are not always translating into genuine productivity ]]></description>
<link>https://tsecurity.de/de/3574421/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/How+much+value+is+AI+really+creating%3F/</link>
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<pubDate>Fri, 05 Jun 2026 06:00:37 +0200</pubDate>
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<title><![CDATA[A uni professor admitted using AI to write an opinion piece. Here’s what it revealed about trust in the technology]]></title> 
<description><![CDATA[Without disclosing that work has been generated using the technology, faith in existing industries will continue to be undermined Follow our Australia news live blog for latest updatesGet our breaking news email, free app or daily news podcasWhen a university vice-chancellor this week admitted to using AI in writing an opinion piece for a major Australian masthead, but did not disclose that use prior to publication, it highlighted the growing gap between people&rsquo;s use of AI and trust in the technology.Data from Roy Morgan this week showed 13.6m or 58% of the population older than 14 now use AI each month, with ChatGPT being the most popular, followed by Google&rsquo;s Gemini and Microsoft Copilot. Continue reading... ]]></description>
<link>https://tsecurity.de/de/3574420/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/A+uni+professor+admitted+using+AI+to+write+an+opinion+piece.+Here%E2%80%99s+what+it+revealed+about+trust+in+the+technology/</link>
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<pubDate>Fri, 05 Jun 2026 06:49:15 +0200</pubDate>
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<title><![CDATA[Tyler Creates New AI and Transactions Leadership Roles]]></title> 
<description><![CDATA[The massive, Texas-based gov tech supplier has recently touted how AI and payments will play a big role in the company&rsquo;s growth. Franklin Williams and Ryan O&rsquo;Connor will take over those positions. ]]></description>
<link>https://tsecurity.de/de/3574029/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Tyler+Creates+New+AI+and+Transactions+Leadership+Roles/</link>
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<pubDate>Fri, 05 Jun 2026 00:19:07 +0200</pubDate>
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<title><![CDATA[The skeptic’s guide to humanoid robots going viral on the Internet]]></title> 
<description><![CDATA[Robot demonstrations can distort public perceptions of robotic capabilities. ]]></description>
<link>https://tsecurity.de/de/3574028/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/The+skeptic%E2%80%99s+guide+to+humanoid+robots+going+viral+on+the+Internet/</link>
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<pubDate>Fri, 05 Jun 2026 00:23:36 +0200</pubDate>
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<title><![CDATA[Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset]]></title> 
<description><![CDATA[This tutorial walks through a complete NLP pipeline for research-level mathematics. Using the ResearchMath-14k dataset, we extract field-specific keywords with TF-IDF, generate sentence embeddings, visualize the problem landscape with UMAP, cluster with K-Means, build a semantic search engine, and train a classifier to predict each problem&#039;s open status &mdash; then surface near-duplicate problems by similarity.
The post Building a Semantic Search Engine and Open-Status Classifier over the ResearchMath-14k Dataset appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3574027/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/Building+a+Semantic+Search+Engine+and+Open-Status+Classifier+over+the+ResearchMath-14k+Dataset/</link>
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<pubDate>Fri, 05 Jun 2026 00:24:10 +0200</pubDate>
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<title><![CDATA[NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents]]></title> 
<description><![CDATA[NVIDIA has released Nemotron 3 Ultra, a 550B total (55B active) open Mixture-of-Experts hybrid Mamba-Transformer for long-running agents. It pairs a 1M-token context with up to ~6x higher inference throughput than comparable open LLMs at on-par accuracy, and ships with open weights, training data, and recipes under OpenMDW-1.1.
The post NVIDIA AI Releases Nemotron 3 Ultra: An Open 550B Mixture-of-Experts Hybrid Mamba-Transformer for Long-Running Agents appeared first on MarkTechPost. ]]></description>
<link>https://tsecurity.de/de/3573989/K%C3%BCnstliche+Intelligenz++Videos+%2F+AI/NVIDIA+AI+Releases+Nemotron+3+Ultra%3A+An+Open+550B+Mixture-of-Experts+Hybrid+Mamba-Transformer+for+Long-Running+Agents/</link>
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<pubDate>Thu, 04 Jun 2026 23:42:28 +0200</pubDate>
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