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@demishassabis
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Demis Hassabis

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@demishassabis

Nobel Laureate. Co-Founder & CEO @GoogleDeepMind - working on AGI. Solving disease @IsomorphicLabs. Trying to understand the fundamental nature of reality.

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マウスポインタをインテリジェントに再設計するチーム素晴らしい仕事!@GoogleAIStudio でプロトタイプ試してみて、めっちゃマジカルだよ。

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Really cool work from the team reimagining the mouse pointer to be intelligent! Try the prototype in @GoogleAIStudio it's pretty magical.

@GoogleDeepMind
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Google DeepMind@GoogleDeepMind

We’re reimagining a 50-year-old interface - the mouse pointer - with AI. 🖱️ These experimental demos show how people can intuitively direct Gemini on their screens using motion, speech, and natural shorthand to get things done 🧵

@Konstantine@sequoia との楽しく幅広いチャットをありがとうございました!最後の質問が最高でした - von Neumann FTW 😀

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Thanks @Konstantine and @sequoia for such a fun and wide-ranging chat! Loved the final question - von Neumann FTW 😀

@Konstantine
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Konstantine Buhler@Konstantine

Sir @demishassabis has a mind for synthesis. His favorite book is about a grand theory of everything. His preferred philosophers are seen by some as opposites. His life's work ranges from board games to Nobel-winning science. We're grateful to have hosted Demis and his @GoogleDeepMind team at @sequoia AI Ascent last week for a fireside chat. He kindly gave us permission to share this, and you can watch the full video here: 00:00 Intro 00:38 The Common Thread 01:29 Games as AI Training 02:59 Startup Advice 1.0 04:39 Founding DeepMind 07:25 DeepMind and AGI 08:52 AI for Science 10:37 Biology Breakthroughs and Isomorphic 12:42 New Sciences 20:29 Philosophy

88181305133KXで開く

このコンサーチョーションを本当に楽しみました - @garrytan がホストしてくれてありがとうございました!

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Really enjoyed this conversation - thanks again @garrytan for hosting!

@ycombinator
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Y Combinator@ycombinator

Demis Hassabis (@demishassabis) has had one of the most extraordinary careers in tech. He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads @GoogleDeepMind, pushing toward the same goal he set as a teenager: AGI. On this special live episode of How to Build the Future, he sat down with YC's @garrytan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve, and what the next big scientific breakthroughs might be. 01:48 — What’s Missing Before We Get To AGI? 03:36 — Why Memory Is Still Unsolved 06:14 — How AlphaGo Shaped Gemini 08:06 — Why Smaller Models Are Getting So Powerful 10:46 — The 1000x Engineer 12:40 — Continual Learning and the Future of Agents 13:32 — Why AI Still Fails at Basic Reasoning 15:33 — Are Agents Overhyped or Just Getting Started? 18:31 — Can AI Become Truly Creative? 20:26 — Open Models, Gemma, and Local AI 22:26 — Why Gemini Was Built Multimodal 24:08 — What Happens When Inference Gets Cheap? 25:24 — From AlphaFold to the Virtual Cells 28:24 — AI as the Ultimate Tool for Science 30:43 — Advice for Founders 33:30 — The AlphaFold Breakthrough Pattern 35:20 — Can AI Make Real Scientific Discoveries? 37:59 — What to Build Before AGI Arrives

悪くないな... 😀🚀

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Not bad at all… 😀🚀

@OfficialLoganK
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Logan Kilpatrick@OfficialLoganK

Google is the best company in the world

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