RIP Egocentric video — it’s time to move on and focus on superhuman dexterity
Imagine you wanted to build a machine that beats Magnus Carlsen at chess. You could collect every game Magnus ever played and train on that. You’d get a decent player, but you would not (generally) beat Magnus. And what if the goal is not just to beat Magnus, but to beat Magnus in 8 moves,…
Architectural Gaps in Physical AI: When’s the Big Moment?
In some specific robotics use cases, the magic moment has clearly already happened. Autonomous driving had its moment in 2025. That’s why in 2026 you can ride a wheeled robot, a Waymo, all over SF with minimum hassle. In Ukraine, autonomous drones now rule the sky (and the battlefield). At Amazon, more than 1 million…
Geography of Physical AI and Advanced Manufacturing
Many people associate AI with coding, or helping students with their homework, or making sudden progress on the Riemann Hypothesis. It’s less well appreciated that all those capabilities map directly to physical AI. The tools that we use daily, such as Fable and GPT-5.6 Sol, can also help a robot integrate information, build a contiguous…
