YouTube Video
Google DeepMind SVP and Chief AI Architect Koray Kavukcuoglu joins host Logan Kilpatrick to reflect on the journey from DeepMind’s early reinforcement learning milestones to Gemini and what it means to build AGI at Google.
Watch along and learn:
* What made Gemini 3.7 Flash a breakthrough for engineers
* The ambitions of the Gemini 4 pre-training run
* What it takes to stay at the frontier of AI research
* How co-building AGI with users shapes everything the Google DeepMind team does
00:00 Intro
00:24 From models to coding agents
03:07 Gemini 4 pre-training
04:08 Why the frontier is all that matters
06:38 Leading frontier AI at Google
08:53 Why there's no test for AGI
10:58 Early days at DeepMind
15:08 Atari vs. real-world ambiguity
17:18 20 years of deep learning
18:47 The reality of engineering hill climbs
21:05 Why Google is the place to build AGI
22:19 Parallel model development
23:34 The shift to agentic coding
24:57 What makes models more intelligent
Subscribe to Google for Developers → https://goo.gle/developers
Products Mentioned: Gemini
Speakers: Logan Kilpatrick, Koray Kavukcuoglu
Watch along and learn:
* What made Gemini 3.7 Flash a breakthrough for engineers
* The ambitions of the Gemini 4 pre-training run
* What it takes to stay at the frontier of AI research
* How co-building AGI with users shapes everything the Google DeepMind team does
00:00 Intro
00:24 From models to coding agents
03:07 Gemini 4 pre-training
04:08 Why the frontier is all that matters
06:38 Leading frontier AI at Google
08:53 Why there's no test for AGI
10:58 Early days at DeepMind
15:08 Atari vs. real-world ambiguity
17:18 20 years of deep learning
18:47 The reality of engineering hill climbs
21:05 Why Google is the place to build AGI
22:19 Parallel model development
23:34 The shift to agentic coding
24:57 What makes models more intelligent
Subscribe to Google for Developers → https://goo.gle/developers
Products Mentioned: Gemini
Speakers: Logan Kilpatrick, Koray Kavukcuoglu
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