Chelsea Finn
Computer scientistWikipedia
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Search complete. 4 mentions across 3 episodes found for "Chelsea Finn".
Sep 9, 2026
Marcel TornéGUEST
And I can share a little bit about myself.
Marcel TornéGUEST
So I'm a PhD student at Stanford working with Chelsea Finn, and I'm very excited about studying memory for VLAs, but also how to do reinforcement learning and like do-- like try to improve upon like some of the reinforcement learning techniques.
Marcel TornéGUEST
And specifically in this paper we learn or we study a little, a little bit more on learning from human preferences.
Anubha MahajanGUEST
Hi, everyone.
Aria FingerHOST
It's another to walk into an unfamiliar building, read a new label, pack a box it's never seen, and recover when something goes wrong without being hand-programmed for any of it.
Reid HoffmanHOST
Chelsea Finn has worked on that problem from both sides of the frontier.
Reid HoffmanHOST
At Stanford, her research on meta-learning helped define one of the central questions in modern AI.
Reid HoffmanHOST
Her MAML paper has been cited more than tens of thousands of times.
Reid HoffmanHOST
Pai has since demonstrated a sequence of increasingly capable generalist policies.
Aria FingerHOST
Today's conversation is about what it will take for AI to leave the screen and what that transition reveals about intelligence itself.
Reid HoffmanHOST
Chelsea Finn, welcome to Possible.
Reid HoffmanHOST
Welcome.
speaker_0NARRATOR
So robotics and AI.
speaker_0NARRATOR
This feels like where the rubber really meets the road, doesn't it? Today, we're diving into a conversation between Reid Hoffman and Chelsea Finn, co-founder of Physical Intelligence and a Stanford researcher who's been pioneering work in meta-learning.
speaker_0NARRATOR
And Chelsea doesn't pull punches.
speaker_0NARRATOR
She starts with this blunt warning the biggest risk is that robotics as a whole fails because it is such a difficult field