Sergey Levine discusses founding Physical Intelligence
A few weeks ago at SPC, I had an interesting conversation with @adityaag.
#Physical Intelligence
Sergey LevineAI score2020
亿欧网 · 微信公众号AI score6060 Google, OpenAI, and DeepSeek Enter Together; Embodied AI CEO Says He Can't Sleep
The article analyzes how, with the releases of GPT-6 Astra, Gemini 4 Argon, and the Pi API stacking up, the semantic, simulation, and fine-tuning layers of embodied intelligence are being taken over by general foundation model companies, and the world model is being demoted from overall commander to physical verifier.
Sergey LevineAI score3030 Chelsea Finn on robots entering the GPT era
Physical Intelligence co-founder Chelsea Finn spoke at Startup School 2026 about building general-purpose robots in the real world: reinforcement learning doubled robot throughput, and the system can run autonomously for hours. She believes robots are entering the "GPT era"—moving from specialized models to general systems that work across tasks and across robots. Sergey Levine remarked that Chelsea's talk was once again rock-star level, and that robots really can fold laundry and make espresso!
OFweek RoboticsAI score6868 Six guests at WAIC Embodied AI Forum predict robots' ChatGPT moment is still two to five years away
At the 2026 WAIC Embodied AI Forum, six guests predicted that robots' ChatGPT moment is two to five years away, with Yao Maoqing saying two years and Xu Danfei saying five, though no consensus has formed on the criteria for judging it. The discussion focused on three main threads: the data flywheel must be built through real deployments rather than data collection alone; VLA and World Action Models (WAM) are not opposites, with PI continuing the VLA path through π0.7 while Dyna turns to WAM; full-stack capability is becoming a trend, but a full-stack business model is not necessarily the only answer.
Ars TechnicaAI score5858 Explaining how AI is bringing autonomous robots into workplaces and homes
Ars Technica interviewed several robotics researchers and founders, outlining how AI is driving the development of general-purpose autonomous robots and the data, safety, and reliability obstacles they face.
New Scientist RobotsAI score5656 Reporter visits Physical Intelligence: progress and controversy on the general-purpose robotics path
Physical Intelligence is developing a general-purpose control brain that can work across many kinds of robots, using a vision-language-action (VLA) model to teach robots tasks such as making coffee, folding clothes, and peeling vegetables, rather than focusing on a single machine as Tesla, Boston Dynamics, or Amazon do.