About this episode
<p><a target="_blank" href="https://x.com/svlevine">Sergey Levine</a>, one of the world’s top robotics researchers and co-founder of <a target="_blank" href="https://www.physicalintelligence.company/">Physical Intelligence</a>, thinks we’re on the cusp of a “self-improvement flywheel” for general-purpose robots. His median estimate for when robots will be able to run households entirely autonomously? 2030.</p><p>If Sergey’s right, the world 5 years from now will be an <em>insanely</em> different place than it is today. This conversation focuses on understanding how we get there: we dive into foundation models for robotics, and how we scale both the data and the hardware necessary to enable a full-blown robotics explosion.</p><p>Watch on <a target="_blank" href="https://youtu.be/48pxVdmkMIE">YouTube</a>; listen on <a target="_blank" href="https://podcasts.apple.com/us/podcast/fully-autonomous-robots-are-much-closer-than-you-think/id1516093381?i=1000726524050">Apple Podcasts</a> or <a target="_blank" href="https://open.spotify.com/episode/1WpOKLN3vSvvWjrVDIJAyy?si=0925369fae944722">Spotify</a>.</p><p>Sponsors</p><p>* <a target="_blank" href="https://labelbox.com/dwarkesh">Labelbox</a> provides high-quality robotics training data across a wide range of platforms and tasks. From simple object handling to complex workflows, Labelbox can get you the data you need to scale your robotics research. Learn more at <a target="_blank" href="https://labelbox.com/dwarkesh">labelbox.com/dwarkesh</a></p><p>* <a target="_blank" href="https://hudson-trading.com/dwarkesh">Hudson River Trading</a> uses cutting-edge ML and terabytes of historical market data to predict future prices. I got to try my hand at this fascinating prediction problem with help from one of HRT’s senior researchers. If you’re curious about how it all works, go to <a target="_blank" href="https://hudson-trading.com/dwarkesh">hudson-trading.com/dwarkesh</a></p><p>* <a target="_blank" href="https://ai.studio/banana">Gemini 2.5 Flash Image</a> (aka nano banana) isn’t just for generating fun images — it’s also a powerful tool for restoring old photos and digitizing documents. Test it yourself in the Gemini App or in Google’s AI Studio: <a target="_blank" href="https://ai.studio/banana">ai.studio/banana</a></p><p>To sponsor a future episode, visit <a target="_blank" href="http://dwarkesh.com/advertise">dwarkesh.com/advertise</a>.</p><p>Timestamps</p><p>(00:00:00) – Timeline to widely deployed autonomous robots</p><p>(00:17:25) – Why robotics will scale faster than self-driving cars</p><p>(00:27:28) – How vision-language-action models work</p><p>(00:45:37) – Changes needed for brainlike efficiency in robots</p><p>(00:57:59) – Learning from simulation</p><p>(01:09:18) – How much will robots speed up AI buildouts?</p><p>(01:18:01) – If hardware’s the bottleneck, does China win by default?</p> <br/><br/>Get full access to Dwarkesh Podcast at <a href="https://www.dwarkesh.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4">www.dwarkesh.com/subscribe</a>