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.General Intuition CEO Pim de Witte discusses using data from gamers to train AI & broader implications for the labor market:

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Yann LeCun (Chief AI Scientist, Meta, Yann LeCun), Pim de Witte (CEO, General Intuition), and Aude Durand (Kyutai, Aude Durand), talk about world models, embodied agents, Yann's new company, and the limitations of LLMs 0:00 - Introduction to World Models 5:00 - Why World Models, Intuition & Introducing Yann's new company 10:00 - Architectures + Merging Language & Interaction Data towards General Agents 20:00 - Open Source, Sovereign AI & kyutai Partnership Keynote for #aiPULSE2025 at Station F in Paris 🇫🇷
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Yann LeCun (Chief AI Scientist, Meta, Yann LeCun), Pim de Witte (CEO, General Intuition), and Aude Durand (Kyutai, Aude Durand), talk about world models, embodied agents, Yann's new company, and the limitations of LLMs 0:00 - Introduction to World Models 5:00 - Why World Models, Intuition & Introducing Yann's new company 10:00 - Architectures + Merging Language & Interaction Data towards General Agents 20:00 - Open Source, Sovereign AI & kyutai Partnership Keynote for #aiPULSE2025 at Station F in Paris 🇫🇷

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With enough data, robots and AI can learn “world models” that let them predict the results of their actions. These models are a way to learn how embodied AI agents can perform a wide variety of useful tasks — but they require a huge amount of data. The team at General Intuition General Intuition has a solution: use data from video games! Games teach movement, problem solving, and complex spatial reasoning, and they come in a staggering diversity of forms, covering a wide variety of problems. What’s more, the captured data is high-quality, without the noise or annotation error that can come from We sat down with Pim de Witte and Adam Jelley from the General Intuition team to learn more about their history, their plans, and their philosophy.
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