Physical AI that Moves the World — Qasar Younis & Peter Ludwig, Applied Intuition

Applied Intuition puts the AI in mining rigs, drones, trucks, warships and physical vehicles in the most adversarial environments imaginable. We dive in with their CEO and CTO as they emerge.

This post originally appeared in Latent Space.

“Physical machines today are more akin to the state of the phone market before Android and iOS existed.”

From building Applied Intuition from YC-era autonomy tooling into a $15B physical AI company, Qasar Younis and Peter Ludwig have spent the last decade living through the full arc of autonomy: from simulation and data infrastructure for robotaxi companies, to operating systems for safety-critical machines, to deploying AI onto cars, trucks, mining equipment, construction vehicles, agriculture, defense systems, and driverless L4 trucks running in Japan today. They join us to explain why “physical AI” is not just LLMs on wheels, why the real bottleneck is no longer model intelligence but deployment onto constrained hardware, and why the future of autonomy may look less like one-off demos and more like Android for every moving machine.