robotics foundation models

4 statements across 3 episodes · 2 bullish · 1 bearish · 3 people on the record · first statement Jan 24, 2024 by Peter Chen · across every show →

Everything said about robotics foundation models, oldest first

Jan 24, 2024 neutral
Insight
Chen: Robotics foundation models diverge from multimodal models on precision
“There's really no, very, no precise grounding. And there's no precise understanding of the physical world that's naturally occurring on the internet. So that's, like, one of the first thing that you'll find Kind of the departure of robotics foundation models f…”
Peter Chen Jan 24, 2024 ▶ 23:58 No Priors Ep. 48 | With Covariant CEO Peter Chen
Mar 20, 2025 bullish
Prediction Not checkable as stated
Chelsea Finn: Autonomous RL experience will play a huge role in robotics
“And then I also think that autonomous experience will play a huge role, just like we've seen in language models. After you get an initial language model, if you can use reinforcement learning to have the robot, the language model bootstrap on its own experienc…”
Chelsea Finn Mar 20, 2025 ▶ 30:54 No Priors Ep. 107 | With Physical Intelligence Co-Founder Chelsea Finn
Mar 20, 2025 bearish
Insight
Chelsea Finn: Observational video alone cannot train robot foundation models
“I think that data can have a lot of value, but I think that by itself, it won't get you very far and I think that there's actually some really nice analogies you can make where for example, if you watch, like, an Olympic swimmer, swimmer race even if you had t…”
Chelsea Finn Mar 20, 2025 ▶ 29:37 No Priors Ep. 107 | With Physical Intelligence Co-Founder Chelsea Finn
May 1, 2025 bullish
Opinion
McKinzie: General reasoning models could unify with robotics foundation models
“And I personally don't see any reason why we couldn't have this, these be this, the same model.”
Brandon McKinzie May 1, 2025 ▶ 22:42 No Priors Ep. 113 | With OpenAI's Eric Mitchell and Brandon McKinzie
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 100 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.