Chelsea Finn
Stanford assistant professor of computer science
Stanford assistant professor of computer science
Every podcast episode featuring Chelsea Finn that Attunex has found: 22 interviews and appearances across 19 shows between 2017 and 2026. Most often on Y Combinator Startup Podcast (2), Soft Robotics Podcast (2) and The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) (2). Often in conversation with Reid Hoffman and Sam Charrington. Follow Chelsea in Attunex to get new appearances automatically, each with an on-device transcript and summary.
Follow Chelsea Finn in AttunexUpdated 2026-10-14.
On this week’s episode we’re excited to share an episode from our sister podcast Possible, a podcast that sketches out the brightest vision of the future. Useful robots won’t be programmed one task…
Introducing Training robots for a world they’ve never seen from Possible. Follow the show: Possible Useful robots won’t be programmed one task at a time; they’ll need to adapt to unfamiliar objects,…
Introducing Training robots for a world they’ve never seen from Possible. Follow the show: Possible Useful robots won’t be programmed one task at a time; they’ll need to adapt to unfamiliar objects,…
章节时间戳 00:00 开场 00:54 精讲：freeCodeCamp 用六阶段工件闭环重排 AI 原生研发 03:25 精讲：大淘宝技术用 MDL 语义层与多 Agent 治理数据分析 05:51 精讲：Chelsea Finn 谈机器人可靠性、记忆与通用模型 08:16 重点 4–6：LangChain MCP、Ollama 开源模型、K2 Horizon 10:34 重点…
Useful robots won’t be programmed one task at a time; they’ll need to adapt to unfamiliar objects, environments, and robot bodies. Physical Intelligence cofounder Chelsea Finn (named last month to…
Robotics may be on the verge of a breakthrough—but only if robots can learn to adapt in the messy real world. In this condensed version of Possible Podcast, Reid Hoffman talks with Chelsea Finn,…
This episode explores Model-Agnostic Meta-Learning (MAML), the 2017 approach from Chelsea Finn, Pieter Abbeel, and Sergey Levine that trains a single, architecture-agnostic initialization capable of…
Robots can already fold laundry, make espresso, clean kitchens, and assemble things. The harder problem is getting them to do those tasks reliably, for long periods of time, without a human…
The most important robotics breakthrough of the last three years was not a new algorithm or a bigger model. It was making the hardware cheap enough to collect enough data. We trace the ALOHA lineage…
In this episode of Wealth Waves Daily, we capture researcher Chelsea Finn's groundbreaking presentation on her trailblazing endeavors at Physical Intelligence, a vanguard startup engineering…
Chelsea Finn on June 17th, 2025 at AI Startup School in San Francisco.From MIT through her PhD at Berkeley, where she pioneered meta‑learning methods, and Google Brain, Chelsea Finn has built her…
AI is better than humans at a lot of things, but physical tasks – even seemingly simple ones like folding a shirt – routinely stump AI-powered robots. Chelsea Finn is a professor at Stanford and the…
AI is better than humans at a lot of things, but physical tasks – even seemingly simple ones like folding a shirt – routinely stump AI-powered robots. Chelsea Finn is a professor at Stanford and the…
This week on No Priors, Elad speaks with Chelsea Finn, cofounder of Physical Intelligence and currently Associate Professor at Stanford, leading the Intelligence through Learning and Interaction Lab.…
In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her…
Chelsea Finn joins Host Pieter Abbeel to discuss distribution shift, meta-learning, editing LLMs, single-life RL, and what can AI not (yet) do today. Subscribe to the Robot Brains Podcast today |…
Chelsea Finn is an Assistant Professor at Stanford and part of the Google Brain team. She's interested in the capability of robots and other agents to develop broadly intelligent behavior through…
In this episode of Intel on AI host Amir Khosrowshahi and co-host Mariano Phielipp talk with Chelsea Finn about machine learning research focused on giving robots the capability to develop…
In one of computer science’s more meta moments, professor Chelsea Finn created an AI algorithm to evaluate the coding projects of her students. The AI model reads and analyzes code, spot flaws and…
In episode 13 of The Gradient Podcast, we interview Stanford Professor Chelsea Finn Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Chelsea is an Assistant Professor…
Clip: Chelsea Finn "On Counter-Intuitive Hard Problems In Robot Learning"
Chelsea Finn "Continual, Generic Learning & Meta-Learning For Robotic Interaction" by Marwa ElDiwiny
Chelsea Finn is an Assistant Professor at Stanford University, where she leads the IRIS lab that studies intelligence through robotic interaction at scale. Her PhD thesis is titled "Learning to Learn…
Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the CS Department at Stanford University. Chelsea’s…
This week we return to the world of thinking robots with Chelsea Finn, one of the youngest experts in the field, who talks about her journey, about her work in meta-learning and about lifelong…
AlphaZero, progress in meta-learning, the role of AI in fake news, the difficulty of developing fair machine learning -- 2017 was another year of big breakthroughs and big challenges for AI…
This week we continue our Industrial AI series with Sergey Levine, an Assistant Professor at UC Berkeley whose research focus is Deep Robotic Learning. Sergey is part of the same research team as a…
This week we continue our series on industrial applications of machine learning and AI with a conversation with Chelsea Finn, a PhD student at UC Berkeley. Chelsea’s research is focused on machine…