Pivot Demis Hassabis on AI, Game Theory, Multimodality, and the Nature of Creativity | Possible
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Apr 12, 2025 
Demis Hassabis, co-founder and CEO of DeepMind, discusses the revolutionary advancements in AI that he's spearheaded, including AlphaGo and AlphaFold. He delves into how AI can untangle complex systems like game theory and protein folding. The conversation highlights the role of synthetic data in driving AI learning and the challenges of developing multimodal systems. Demis also shares insights on the future of AI in medicine and its potential to spark creativity and optimism in scientific discovery.
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Chess Prodigy to AI Pioneer
- Demis Hassabis's childhood dream was to be a chess grandmaster.
- At 11, he became fascinated by chess computers, sparking his interest in AI.
Deep Blue's Limitations
- Deep Blue's brute-force approach lacked true intelligence and learning ability.
- Demis Hassabis was more impressed by Kasparov's adaptable human mind.
Deep Learning Hypothesis
- DeepMind hypothesized that learning systems were key to developing advanced AI.
- This approach combined deep learning and reinforcement learning.