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Michelle Sun

@michellelsun • 11,094 subscribers

Physical AI value chain, Robotics, Industrial Automation https://t.co/IzuSYGYjvn

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I built an actuator explorer to learn about what's inside and what each piece does Happy exploring !

I built an actuator explorer to learn about what's inside and what each piece does Happy exploring !

56,117 просмотров • 18 дней назад

I used GPT-6 Astra to create a 3D website that pulls apart the humanoid anatomy into 1,168 CAD components! zoom into actuators, electronics, CNC structure and all inspired by ashe and based on Menlo Research 's Asimov 1

I used GPT-6 Astra to create a 3D website that pulls apart the humanoid anatomy into 1,168 CAD components! zoom into actuators, electronics, CNC structure and all inspired by ashe and based on Menlo Research 's Asimov 1

26,552 просмотров • 19 дней назад

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics

What is the best data for training humanoid & robotics foundation models? Pete Florence Pete Florence (CEO Eric Nehrlich, ex-Google DeepMind) dropped his live data tier list in this 7-minute clip on TBPN: - S-tier: Real-world robot experience (especially glove/sensor high-dexterity data) - A/B-tier: Internet/YouTube videos. Surprisingly powerful for transfer learning (the “web data” moment for physical AI) - B-tier: Text/common crawl (Reddit, books, etc.). Useful priors, but not enough alone - C-tier: Motion Capture. Great for whole-body motion, weak on finger dexterity - C or lower: Simulation / synthetic / world models. High potential, still waiting for strong real-world proof Generalist has collected 270,000+ hours of real-world manipulation data (scaling ~10k hours/week). And Pete stressed one key point: “The quality of data is incredibly important.” It’s not just about volume. It’s developing intuition for what actually drives performance through hands-on work. As Physical AI scales, curated real-world and high-quality internet video looks like a winning combo. h/t YUJI | AI Robotics

15,351 просмотров • 3 месяцев назад

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