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Physical AI could build what takes thousands of people
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When @peteflorence started out in robotics, the case for robots was simple: send them where people shouldn’t have to go, for example into a nuclear disaster. For most of the robotics industry, that became the standard call: build machines to take on the danger and drudgery humans shouldn’t have to face. He sees that as only the baseline. He says the real unlock is what happens when machines have the physical intelligence to build things that would take thousands of people, and he expects the…
Mario Gabriele@mariogabriele4d ago
"If you're not touching and moving the world and you're a robot, what are you doing?" @peteflorence is co-founder and CEO of @GeneralistAI, a company building general-purpose intelligence for the physical world through robotics foundation models. In mid-August, Generalist released Gen-1.5, its latest model, which Anthropic researcher Sholto Douglas has described as a "GPT-3 moment for robotics". Florence's central claim is that dexterity, touching and manipulating the physical world, is the robotics equivalent of coding for language models: a broad capability with the potential to create a self-improvement loop in which robots build robots. (2:24) GEN-1.5 and one-shot learning (10:53) Dexterity in robotics (27:38) Generalist’s founding thesis and what sets it apart (32:17) Protecting simplicity (42:15) Balancing general intelligence with commercial deployment (50:52) Geopolitics, safety, and alignment (1:03:37) Book recommendations
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