Chelsea Finn

13 statements across 1 episodes · 8 bullish · 2 bearish · 1 people on the record · first statement Jul 22, 2025 by Chelsea Finn · said 1 times in 1 episodes since 2026 · across every show →

On the record as a speaker too: Chelsea Finn's record, appearances and statements → this page counts the times other people say the name.

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Everything said about Chelsea Finn, oldest first

Jul 22, 2025 positive
Assertion Not checkable as stated
Finn: Data curation reduced five-item folding time to 12 minutes
“We selected and worked on our curation strategy for curating a higher quality set of demonstration data. We got it from 20 minutes down to 12 minutes for these five items.”
Chelsea Finn Jul 22, 2025 ▶ 10:41 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 positive
Assertion Supported
Finn: Physical Intelligence adapted its model to an unseen third-party robot
“We're also able to apply that same recipe to robots at other companies. This is a robot that I've actually never seen in person before. They collected data. They sent the data to us. We fine tuned our model on their data. We actually didn't even know exactly h…”
Chelsea Finn Jul 22, 2025 ▶ 16:37 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 bullish
Disclosure
Finn: Physical Intelligence is building a general-purpose model for all robots
“And in particular, we're trying to develop a general purpose model that can enable any robot to do any task in any environment.”
Chelsea Finn Jul 22, 2025 ▶ 1:03 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 positive
Disclosure
Finn: LLMs can generate synthetic prompts to relabel robot data
“We can use language models to relabel and generate hypothetical human prompts for the scenarios that the robots are in.”
Chelsea Finn Jul 22, 2025 ▶ 27:07 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 neutral
Insight
Finn: Real-world human-robot interaction data is hard to scale
“It's going to be challenging to collect a large number of human robot interactions with the real robot in the loop. And this is also going to be fairly hard to scale.”
Chelsea Finn Jul 22, 2025 ▶ 26:44 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 neutral
Insight
Finn: Human video data is constrained by robot-human embodiment gaps
“Alternatively, maybe we look at data from YouTube, which has also a massive data source and many videos of humans doing tasks that can be useful for training robots. But at the same time, we don't learn how to write by watching other people write, and we don't…”
Chelsea Finn Jul 22, 2025 ▶ 2:43 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 neutral
Insight
Finn: Scale is necessary but not sufficient for open-world robotics models
“And so I think the lesson here is that scale is necessary for developing these models that can generalize in open world conditions, but they're subordinate to actually solving the problem. So you need scale, but it's not sufficient for the entire problem.”
Chelsea Finn Jul 22, 2025 ▶ 3:16 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 negative
Insight
Finn: Industrial automation data lacks behavioral diversity for general robotics
“So for example, we might look at data from industrial automation and you get tons and tons of data of robots doing tasks over and over again like this, but the sort of data isn't going to allow robots to go into disaster zones or to make a sandwich or to bag g…”
Chelsea Finn Jul 22, 2025 ▶ 2:19 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 positive
Insight
Finn: Pre-training and curated fine-tuning unlocked robotic laundry folding
“And this was actually to take some inspiration from the world of language modeling to actually instead of just training a policy on all of our data, can we pre-train on all the data? And then fine tune on a highly, on a curated, consistent, high quality set of…”
Chelsea Finn Jul 22, 2025 ▶ 9:21 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 positive
Insight
Finn: Reinforcement Learning Outperforms Pure Imitation Learning in Robotics
“I think that reinforcement learning can play a very large role in it actually, in post-training. I think that online data from the robots which reinforcement learning allows you to use, Can allow robots to have a much higher success rate and also be faster tha…”
Chelsea Finn Jul 22, 2025 ▶ 32:16 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 negative
Insight
Finn: Solving robotics applications traditionally requires building separate companies from scratch
“If you want to truly solve a robotics application, you essentially need to build an entire company around that application. Ah, you need to build a different company for logistics, for wet lab automation, For robots and kitchens, for surgical robots, and so on…”
Chelsea Finn Jul 22, 2025 ▶ 0:11 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 bullish
Disclosure
Finn: Physical Intelligence Has Not Struggled to Raise Capital
“We ourselves haven't had a lot of challenge with fundraising, and I think that a lot of robotics companies recently have also done a great job and found that there's actually a lot of excitement around this sort of technology, because I think things are actual…”
Chelsea Finn Jul 22, 2025 ▶ 33:40 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
Jul 22, 2025 positive
Opinion
Folding laundry is the most impressive physical robot feat Finn has seen
“And to date, I think this is the most impressive thing that I've seen A robot do in the physical world.”
Chelsea Finn Jul 22, 2025 ▶ 4:51 Chelsea Finn: Building Robots That Can Do Anything · Y Combinator
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