Physical Intelligence

“It's not a big focus of ours right now, really. We're so focused on, on manipulation and economically valuable tasks and more so than that, the fundamental building blocks that we think gets us from here to physical intelligence.”

“And one thing with Pi-O-V that we are really excited about is that we are now at the stage where the robots kind of get the sense of what they should be doing in that environment. So, they are no longer in this space where, you know, you just, like, arrive in …”

“And what we start to realize is that all of these different data sources contribute to each other. They give you just like a bigger picture of what the world is like and better understanding. And it just turns out that robot actions is just like yet another la…”

“The model that we have already is the model that you can talk to, and it works, you know, just as well as open source BLMs.”

“So I think over time, it's quite likely that, that the places are gonna switch a little bit, where most of the models, including, you know, LLMs and BLMs, are gonna be using real-world data collected through robots, because that's the data that has no ceiling,…”

“And it turns out that with Pi oh five, which we just released yesterday, we can do that. And it doesn't work all the time. It's not that I can just give it to you and it will work in your kitchen every single time, but it works quite often quite well. So we br…”

“We are not there yet in terms of like having a full scaling law the same way as we've seen for LLM companies where you can just translate prog compute to progress to capability.”

“We work with, I'd say probably most of the new robotics companies starting in the U S and abroad.”

“There's fundamental research breakthroughs that, that we need to make, and much like self-driving had a, it's what, like a 15 year arc at this point, there is a very high likelihood that robotics is the same way.”

“It hasn't worked nearly as well for manipulating objects or working with your hands, and I think the reason for that is then the difficulty isn't about, like, how do you move your hands? It's more about the world that you're manipulating, and that is much hard…”

“So far we've been quite surprised by how few different environments you need to see to be able to generalize to a new one.”

“Interestingly, most of the data is actually not the model manipulators in many different homes. It's a very, very small percentage of it.”

“Robots doing backflips, which is a much easier problem than actually a robot folding laundry”

“So end-to-end robotics is already here. Everything we've shown so far is fully end-to-end where you take camera input in and view other sensors and output actions directly.”

“And it turns out if you collect very diverse data across many different tasks from many different form factors, they all contribute to each other. And that they contribute to a better understanding for the model of what actually is happening and how to utilize…”

“I think that's one thing that, that I realized since starting the company is that robots generate a ton of data and you don't need that many to generate data that is close to the levels that LLM companies use for their models.”

“The demonstrations that we, that we've shown so far here at physical intelligence are of tasks that were not possible before, like things like folding laundry. You can't really, there is no program that I've ever seen that could do that.”

“We want to build a model that can control any robot to do any task.”