At Physical Intelligence (π) our mission is to bring general-purpose AI into the physical world. We're excited to show the first step towards this mission - our first generalist model π₀ 🧠 🤖 Paper, blog, uncut videos: physicalintelligence.company/blog/pi0

Very happy to announce that we are open-sourcing the π₀ model, weights, and some fine-tuned checkpoints! Hoping this leads to lots of great follow-up research: github.com/Physical-Intel… Here is a fun test from our friends at UPenn.

Many of you asked for code & weights for π₀, we are happy to announce that we are releasing π₀ and pre-trained checkpoints in our new openpi repository! We tested the model on a few public robots, and we include code for you to fine-tune it yourself.

Our first open-source release at Pi 🤖 - π₀ and π₀-FAST model weights - code for model, on-robot inference, & fine-tuning - fine-tuned checkpoints that can be used out-of-the-box on ALOHA and DROID platforms github.com/Physical-Intel… Excited to see how people use it!

Open sourcing π₀ with code for model and fine tuning :) pi.website/blog/openpi

nice work from the HF team

Happy π day!

We got a robot to clean up homes that were never seen in its training data! Our new model, π-0.5, aims to tackle open-world generalization. We took our robot into homes that were not in the training data and asked it to clean kitchens and bedrooms. More below⤵️

Prompt Theory (Made with Veo 3) What if AI-generated characters refused to believe they were AI-generated?

The robot can autonomously perform a real gallbladder removal subroutine! - Successfully completed the procedure on all 8 of 8 held-out gallbladders - Uses same alg that we used to train robots to make trail mix, using language hierarchy Paper + videos: h-surgical-robot-transformer.github.io

I wrote a fun little article about all the ways to dodge the need for real-world robot data. I think it has a cute title. sergeylevine.substack.com/p/sporks-of-agi

This is it?