This one was inspired by a fantastic video by Jim Fan about the concept of the Physical Turing Test, given at Sequoia this week. In the video, Jim introduces the concept and talks about how he was able to work with Nvidia’s virtual world simulator to compress 10 years of robotics training time into a few hours.
And that got me thinking about the relationship between the concept of intent-over-time (critical for AI agents) and AI intelligence. If intelligence keeps scaling, how does that change the kind of work that can get done in a unit of time?
I think there’s a lot to unpack here, and I’m curious what your thoughts are!
Listen to this episode with a 7-day free trial
Subscribe to Nate’s Substack to listen to this post and get 7 days of free access to the full post archives.