Pete Florence
Co-founder & CEO, Generalist. On 1 show, 1 appearance. The Shows tab opens the full record on each.
founderscientistexecutiveengineer@peteflorence ↗LinkedIn ↗peteflorence.com ↗
Pete Florence is a roboticist and AI researcher leading Generalist in developing embodied foundation models to bring general intelligence to robots. Holding a PhD from MIT, he previously served as a Senior Research Scientist at Google DeepMind, where he made foundational contributions to robotics models such as RT-2 and PaLM-E.
1shows
1appearances
15statements
2resolved
2supported
0contradicted
100%fully supported
Everything Pete Florence said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Florence: Scaling physical interaction data must precede robotic model architectures
“You need to have data to learn stuff, and everybody's robots were just sitting still, and it just felt like we have to get on this path where like, we're actually moving and physically interacting with the world at scale, and then we'll figure out all the rest…”
Florence: Simple robotic grippers paired with high intelligence can accomplish most tasks
“Pairing human-level intelligence with even very simple you know, as you said, Vivek end-effectors, like, you can really accomplish a lot in the world.”
Florence: Model intelligence, not mechanical ability, has always blocked robotics progress
“The main blocker the entire time has been the intelligence, not so much like the sort of mechanical ability.”
Florence: Generalist's robotics model demonstrates emergent ambidexterity
“One that we continue to see which has been quite surprising, is that we can take the model trained on everything, the raw pre-trained model, and then we can train it on a new task, and for that new task we might only ever use the right hand when we are demonst…”
Florence: Generalist robots generalize to untrained tools for complex tasks
“Another one is the ability to have some, like, ingenuity around how to use tools in a way that was also not trained for the task. So basically we can ask the robot to do a certain type of task where we've only trained it with one type of tool. We can give it a…”
Florence: Generalist can train robot models on new tasks in minutes
“Yes, we are now starting to get into the modes where we can train a model on, on a new task in, in minutes.”
Florence: Gen-0 was the first model demonstrating scaling laws in robotics
“It was the first model to show scaling laws really exist in, in robotics in, in in really in, in any significant way, I would say.”
Florence: Generalist trains on hundreds of thousands of interaction hours
“What this looks like more concretely, I would say, is, like, we just train a model on hundreds of thousands or millions of hours of data of Every single type of possible physical interaction in the world we can think of, and then we now have a model that we ca…”
Florence: Gen-1 reached 99 percent reliability with one hour of data
“Gen one was able to across several different tasks and then many other tasks that we showed since hit these, like, 99% plus levels of reliability on just one single hour of robot data.”
Florence: Early robotics research was constrained by assumptions of data scarcity
“The place that everybody was coming to it from was just assuming that we'll never have a lot of data for robotics, and we need to do everything we can to try and design our system smarter, or like, figure out tricks along the way to try and get robotics starte…”
Florence: Using LLMs as robot brains was considered crazy at Google
“We would literally take a large language model and we would turn it into the robot brain, which this is like very simply stated, but honestly at the time was like a kind of a crazy idea to do because everybody was just trying to make robot brains in many other…”
Florence: Robotics is entering its GPT-3 era of early commercial viability
“It feels like, to give an analogy, it feels like we are in the kind of GPT-III era for robotics models you know, in terms of the development of language models, right? So, like, we're starting to have models like Gen-one That feel like they are getting to brea…”
Florence: Robotics foundation models cannot rely on internet data alone
“Yes, if you're going to make a significant robotics foundation model like there's, you don't have any chance of just downloading enough data from the internet to do that. You really have to go find some way to access it.”
Florence: Generalist lab robotics can enable ten times more scientific research per year
“Of course, like, different types of scientific automation have, has existed for decades, but very generalized capabilities to like, be in a science lab and use your hands to pull off all the manipulations that are needed to run all these scientific experiments…”
Florence: Fleets of robots will accelerate physical building just like coding tools
“When you have individuals that are able to just like have a little you know, little fleet of robots that can help them like you know, just build things that maybe would have taken Decades and large numbers of people, and now we can just iterate on that, like, …”
One line per show, most statements first. The link opens Pete's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
 AMERICAN OPTIMISTLEDGER | Co-founder & CEO, Generalist | 1 | 15 | 100% 2/2 | full record on American Optimist → |