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We’re using AI to work on root node problems – fundamental scientific challenges that unlock societal benefits. 🧪 From fusion and superconductors to entirely new materials, our CEO Demis Hassabis discusses what comes next after #AlphaFold – all on our podcast with Hannah Fry. ↓ Timecodes: 01:42 2025 progress...

399,550 views • 6 months ago •via X (Twitter)

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Demis Hassabis (Demis Hassabis) 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 Google DeepMind, 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 Garry Tan 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

Y Combinator

357,200 views • 2 months ago

"I think the most valuable thing that AI is going to do, when you ask it questions and it comes up with the answers, assuming those answers are accurate and cross-correlated and double-checked, [is going to be when] they actually say, “Here are the five questions you didn’t ask.” That is going to unleash real insight." Episode 217 of The Knowledge Project with Josh Wolfe is out now and jam-packed: (3:27) AI and User Interface Evolution (6:10) AI, Memory and Inference (9:43) Future of NVIDIA (11:42) Human Intelligence Limitations (13:42) AI's Threat to Elite Professions (16:32) AI and Coding (17:55) AI and Business Margins (20:02) AI and Data Monopolies (26:24) AI and Science (30:22) AI in Experimental Design and Automated Labs (31:47) AI in Patenting and Prior Art (33:47) Elon Musk and Tesla: A Critical View (39:10) AI in Investment Analysis (42:17) AI and Information Advantage (43:42) Privacy (46:56) Potential Changes in Market Structure (48:00) Shift Towards Retail Investment and New Financial Vehicles (50:09) AI's Impact on Creativity and Art (54:31) AI's Influence on Future Professions (55:12) The Importance of Human Connection (1:03:33) The Possibility of Extending Human Lifespan (1:12:45) The Use of Technology in Filtering Information (1:16:58) AI in Personal Life and Privacy (1:24:19) AI and Military Technology (1:30:35) AI, Ethics and International Competition (1:31:13) Weaponization of Social Media and Information (1:33:52) Vulnerability of Infrastructure to Attacks (1:36:42) Views on #DOGE Initiative (1:38:25) Policy Suggestions for Global Competitiveness (1:42:56) Attracting and Retaining Talent (1:45:40) AI, Copyright, and Intellectual Property

FS

311,101 views • 1 year ago