Zum Hauptinhalt springen
tsecurity.de LIVE
Echtzeit-Radar & Feeds
Alle RSS Feeds
👥 Community & Social
Hacking & PentestingHacker erbeuten Bankdaten von LMU-Studenten - OVB Heimatzeitungen |(20.09.2026 um 23:44 Uhr)
AI & KI NachrichtenUS and China agree to dialogue on AI ahead of Trump-Xi meeting(21.09.2026 um 03:11 Uhr)
Sichere ProgrammierungThe AI Interview Paradox: Decoupling Skill Assessment from Tool Usage(21.09.2026 um 02:01 Uhr)
Sichere ProgrammierungI Built a 100% Free AI Toolbox with No Sign-Up (Here's How)(21.09.2026 um 02:02 Uhr)
Sichere ProgrammierungUnreal C++ Course Chapter 109(21.09.2026 um 02:02 Uhr)
Sichere ProgrammierungWhen Your Impact Is No Longer Measured in Pull Requests(21.09.2026 um 02:04 Uhr)
Hacking & PentestingHacker erbeuten Bankdaten von LMU-Studenten - OVB Heimatzeitungen |(20.09.2026 um 23:44 Uhr)
AI & KI NachrichtenUS and China agree to dialogue on AI ahead of Trump-Xi meeting(21.09.2026 um 03:11 Uhr)
Sichere ProgrammierungThe AI Interview Paradox: Decoupling Skill Assessment from Tool Usage(21.09.2026 um 02:01 Uhr)
Sichere ProgrammierungI Built a 100% Free AI Toolbox with No Sign-Up (Here's How)(21.09.2026 um 02:02 Uhr)
Sichere ProgrammierungUnreal C++ Course Chapter 109(21.09.2026 um 02:02 Uhr)
Sichere ProgrammierungWhen Your Impact Is No Longer Measured in Pull Requests(21.09.2026 um 02:04 Uhr)
Intelligence View
⚡ tsecurity.de Intelligence

Building a Kernel-Integrated AI that Doesn't Hallucinate

Reagiere als Erste:r — dein Feedback zählt!

IONA OS is an operating system written from scratch in Rust. It has its own kernel, its own GUI, its own blockchain protocol, its own programming language (Flux), and — since recently — its own kernel-integrated AI.

Not a chatbot. Not a cloud API wrapper. An AI that runs in Ring 0, reads CPU temperature directly, kills processes, synthesises drivers, and optimises the system in real time.

The hardest part wasn't making it work. The hardest part was making it trustworthy. When an AI runs inside the kernel, a hallucination isn't just a wrong answer — it could crash the system, corrupt memory, or make a bad decision that leaves your laptop unusable.

Here's how we built IONA AI to be reliable, self-correcting, and causally aware.

1 Detecting Hallucinations Before They Happen
Most AI systems generate text and hope it's correct. IONA AI cross-checks facts.

When the AI says "CPU is over 80°C", the system doesn't just accept it. It verifies the correlation with power draw in watts. We maintain a watts anchor and check consistency. If CPU temperature is high but power draw is low, the system knows something is wrong. It logs the anomaly and overrides the response.

This cross-fact consistency prevents the AI from confidently stating false information.

  1. Causal Chains — Not Just Correlations The AI doesn't just say "CPU is hot". It says why.

We built a causal chain module that records every event with a parent pointer. When the AI observes a problem, it traverses the chain backwards and builds a narrative: temperature rose because governor was set to Performance when you compiled the kernel, which spawned eight threads that consumed ninety-five percent CPU for four minutes.

This is more than logging. It is causal reasoning.

  1. Cycle Detection — No Infinite Loops in Logic When an AI reasons about itself, it can fall into circular logic: A caused B, B caused C, C caused A.

We added explicit cycle detection in the causal chain explain function. If a cycle is found, the AI reports it clearly: "Causal cycle detected: thermal_throttle → governor_change → cpu_load → thermal_throttle."

This prevents the AI from getting stuck in self-referential reasoning and forces it to break the loop by suggesting an external action.

  1. Memory with Decay — But Not All Facts Are Equal We store facts in a knowledge graph with a confidence score. High-confidence facts above 0.85 decay two times slower than low-confidence ones.

A fact like "CPU governor is Performance" with confidence 0.98 decays at a slower rate, while "User likes dark theme" with confidence 0.60 decays faster.

This keeps the system from forgetting what it really knows while allowing uncertain information to fade.

  1. Adaptive Backoff — Don't Reason When the System is Dying When CPU load exceeds eighty percent, the AI stops expensive reasoning like multi-agent debate or deep chain-of-thought and switches to lightweight mode.

If CPU usage is high, reasoning depth is reduced to one. If the system is idle, reasoning depth goes back to three.

This ensures the AI doesn't make the system worse when it is already struggling.

  1. Energy Optimizer that Learns from Reality The AI tracks which energy policies actually save power and reorders them based on real-world results.

Policy A saved twelve watts and is ranked first. Policy B saved four watts and is ranked second. Policy C saved one watt and is ranked third.

At tick two hundred, the system re-ranks policies by watts saved per applications affected. It learns from its own actions.

  1. Parliament → Long-Term Memory Every AI decision that goes through the governance system, which we call the parliament, is persisted to episodic memory. The AI remembers not just what was decided, but who voted, why, and what the outcome was.

This allows the system to learn from past deliberations and improve future decisions.

  1. Topics Beyond Chat
    We extended the dialog topic detector from five to eight topics, adding network, storage, and AI. The AI now maintains separate conversation contexts for each, so it doesn't confuse a discussion about storage with one about security.

  2. Goal Tracker with Real Metrics
    The AI can track user-defined goals, but now it evaluates them using real system data.

For example, a goal like "keep power under thirty-five watts" is evaluated against actual power draw. If current power is twenty-eight watts, progress is shown as fifty percent.

Custom goals are no longer empty promises. They are actual dashboards.

  1. User Model + Process Intelligence The AI now understands what the user is doing by reading process lists. It classifies workloads as compilation, editing, browsing, or idle and adjusts its behaviour accordingly.

If the system detects compilation, it switches the governor to Performance. If it detects idle, it switches to Powersave.

No user interaction is required. The system just knows.

Building an AI that runs inside the kernel is hard. Building one that can be trusted — that doesn't hallucinate, doesn't spiral into circular reasoning, and doesn't crash the system — is even harder.

IONA AI is still evolving. But with these ten additions, it is no longer just a chatbot. It is a self-correcting, causally aware, energy-optimising agent that lives inside the operating system itself.

All sixty-three thousand lines of it, in Rust, running in Ring 0.

The code is not yet fully public, but you can see the architecture on GitHub. IONA OS launches on September 15, 2026. The website is iona.zone.

Ähnliche Beiträge
🔍 Verwandte News

Auch interessante Nachrichten Building a Kernel-Integrated AI that Doesn't Hallucinate

Thematisch verwandte Begriffe: Building, KernelIntegrated, that, Doesnt · 6 Treffer

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Zum Aktualisieren ziehen
ZERO-DAY CVE-2026-93968 | A vulnerability was determined in aiyiyi121 SxDevOps 1.0/1.1. This affec…
Advisory →
TTS Reader • tsecurity.de Voice
tsecurity.de Icon
tsecurity.de App
Offline-Lesen, Eilmeldungen & 0ms Ladezeit

Installiere tsecurity.de direkt auf deinen Home-Bildschirm für das ultimative Vollbild-Magazinerlebnis ohne Browser-Leisten.

Nächster Beitrag
Themen-Radar & Intelligence Matrix
Echtzeit-Taxonomie nach Angriffsvektoren & Plattformen

tsecurity.de Live Threat Radar

🔴 LIVE RADAR
MONITORING
AKTIV
CVE-DATENBANK
LIVE
🔍
Community Radar & Live Chat
Sentinel Bot online • Live-Stream
Dein Cluster: Security Explorer
Match:
lädt…
Verbindung zum Community-Stream wird aufgebaut...
Bearbeitungsmodus — Senden überschreibt deine Nachricht
Community-Puls — was gerade passiert
lädt…
Aktivitäten deiner Analysten
lädt…
Neues Thema oder Eilmeldung einreichen

Reiche interessante Links, Zero-Days oder Debatten ein. Die Community entscheidet per Upvote über die Veröffentlichung.

Heiß diskutierte Einreichungen
🔖 Gespeicherte Artikel
📂 Keine gespeicherten Artikel vorhanden.
Zurück Ziehen Vor
Links: vorheriger Artikel Rechts: nächster Artikel unten: schließen
News NIS-2 Frühwarnung Tier-1 Intel ⏱️ 3 Min vor 10 Min
Artikeldaten werden geladen...

Zurück: vorheriger Vor: nächster
↗ Original-Quelle
Social Reaktionen Deine Reaktion zählt
Einstufung & Relevanz-Poll 0 Stimmen
In sozialen Netzwerken teilen 1-Klick