Based on this YouTube video's total view count of 17.6K views and industry-standard rates, the estimated total earning is $12 - $35 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning with 17,669 views, 337 likes, and 34 comments. Experience the impact of this video content that has captured audience attention.

Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini program, joins Jacob the day after Google I/O to unpack the research underpinning Google's latest announcements and where frontier AI is heading. The conversation moves from world models (why Google has uniquely bet on them as a path to AGI, what the "GPT moment" for video and images would look like, and how they connect to robotics and simulation) to agents (the Spark release, why the system and model need to be optimized jointly, and why scaffolding will eventually be written by models themselves). Oriol gets into the mechanics of memory in models, drawing on his cognitive neuroscience background to argue that file-system-style non-parametric memory is more practical than baking memory into weights at serving scale. He shares his views on the limits of RL today (LLMs are data-limited in a way that game-playing RL never was), why training on narrow domains like math and code generalizes surprisingly well, and what a true "Move 37" moment for science or ML research would look like. Throughout, he reflects on the unique advantages of being inside Google (TPU co-design, end-to-end revenue stability, the merger of Brain and DeepMind), the trade-offs between focus and exploration in research orgs, and why he believes AGI in some meaningful sense may already be here, even if the goalposts keep moving. 0:00 Intro 1:36 Why World Models 4:21 The GPT Moment for Video 7:51 What Makes Omni a World Model 10:04 World Models & Robotics 12:37 Evaluating Physics in AI 14:51 Consumer Agents & Spark 18:39 Scaffolding & the Bitter Lesson 22:06 Memory & Continual Learning 26:54 Research Bets Inside Big Labs 32:30 Post-Training RL is Greenfield 35:57 What Real Intelligence Looks Like 39:11 RL Generalization 42:55 Advice for Founders 46:40 Can AI Truly Innovate? 49:48 Recursive Self-Improvement 52:14 Quickfire With your host:  @jacobeffron  - Managing Director at Redpoint

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.