The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
shows 
every show 44 of 44
Levine: Multi-robot data will enable foundational physical models for rapid deployment
“So if we can draw on data from many sources, many applications, many robots, then we can have a model that has a physical understanding, and it'll be much, much easier to put new applications on top of that platform.”
Levine: Robotic foundation models will adapt across diverse physical form factors
“And I think that in the future we'll have A robotic foundation model, which can then be adapted to all sorts of applications, and they might really run the gamut from like, you know, like bulldozers or something, to humanoids, to robotic arms like this thing, …”
Levine: Physical Intelligence achieved robot dexterity without specialized techniques
“What was surprising is that we could also get these systems to perform very dexterous behaviors without really doing anything particularly special for that.”
Levine: Models generalize across robot embodiments without architecture changes
“Where we could get our models to work on all sorts of other robots, including robots with multi-fingered hands robots with different numbers of degrees of freedom, and obviously we needed to get data, and we needed to fine-tune the model, but the model itself …”
Levine: Robotic manipulation depends on real-world data over simulation
“There are the approaches that work well for robotic manipulation that often are the opposite. They often use very little simulated data, often use large amounts of real world data, and very large foundation models.”
Levine: General Robots Still Struggle With Turning Shirts Inside Out
“And we tried these things, and it actually turned out that we could solve almost all of them. We didn't get there's one we couldn't do, which was turning a dress shirt inside out, because the grippers on this thing wouldn't fit inside the sleeve, so we probabl…”
Levine: Robotics Community Lacks Universal Acceptance of End-to-End Learning
“I think at this point there's a lot of acceptance that learning is a really important part of robotics, but I don't think there's still universal acceptance that end-to-end learning is the right way to go. Basically, I don't think there's universal acceptance …”
Levine: Robotics will augment human workers rather than fully replace them
“And I think we'll actually see something like that with robotics, too, that a more realistic template is not like, you know, the humanoid, like, goes in and the people just leave. I think it'll be more like there are some aspects of the job that can be done by…”
Levine: ChatGPT Began as John Schulman's Pet Project, Not Corporate Strategy
“ChatGPT was
You know, basically John Schulman's pet experiment for a while.
It wasn't a concerted corporate strategy with lots of, you know, spreadsheets and pie charts.
It was like a pet project.”
Levine: General Language Models Proved Easier Than Narrow NLP Systems
“Again, in much the same way that for language models, it turned out to be Easier in some ways to solve natural language tasks in their full generality than to narrowly target like machine translation or sentiment analysis or whatever.”
Levine: Physical Intelligence Kitchen Demos Used Zero Prior Training Data
“So we had some demos that we released last April where we showed our robot cleaning kitchens, and like, you know, I think it's kind of cool, but if you watch an individual video out of context, it's just like, okay, it's like picking up plates, like anybody ca…”
Levine: Future Surgical Robots Will Not Be Limited to Human Control
“I think that in the long run, this is not by any means a short term thing, but in the long run, I think there's lots of really exciting applications in medicine and surgery where we not only might in the long run not be limited to robots that look like humans,…”
Levine: Deep RL Is Essential for Robots to Exceed Human Performance
“I think that the first deep reinforcement learning systems, which were in the early 20 tens, like those are probably a milestone because deep reinforcement learning gives us a way to go beyond human level performance, which I think will be essential for roboti…”
Levine: Easy Data Collection Makes Physically Intricate Robotics Tasks Easy
“And I think increasingly what we'll see is a shift where domains where collecting data is straightforward
They actually end up falling into the easy bucket over time, even if they are physically intricate. But there will be domains where collecting data is dif…”
Levine: Acrobatic Humanoid Demos Rely on Simulation, Not Real-World Data
“If you've seen videos of humanoids doing all these acrobatics, right? There's a particular pipeline that makes that work, which is very heavily reliant on simulation, and actually very light on real world data, often almost, often actually zero real world data…”
Levine: Changing a Child's Diaper Will Be Exceptionally Hard for Robots
“I think changing a child's diaper will be really, really hard.”
Levine: Robot Arm Costs Plummeted From $400,000 to $3,000 in a Decade
“When I started working in robotics about a decade ago, I worked with a robot called a PR-II, which I believe had a cost of about 400,000 dollars. When I started my lab at UC Berkeley, I used a robot that was in the ballpark of 30,000 dollars. Now, each arm on …”
Levine: Most Deployed Industrial Robots Still Run 1980s Technology
“Most robots that are out there doing useful work are still running, you know, state-of-the-art technology from the 19 eighties.”
Levine: Studies show the primate brain physiologically treats tools as bodily extensions
“There were studies that were done in monkeys using tools. And you can actually find where in the brain, ah, like which neurons activate for the monkey to figure out where its hand is. It turns out that if it's using a tool, they activate based on location of t…”