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This is goes from “impressive” to “insanely impressive” when you learn that this company started a short few months ago. Can you imagine what they will have next year?

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We are experimenting with waterproofing PCBs. And this project is one of my favorites. 🌱You can use a PCB-based soil moisture sensor to keep plants happy and healthy. This I2C sensor is packed with features—capacitance, light, and temperature readings—all on a single board

Overheard at a robotics meetup in a convo between two humanoid founders: "if you guys can do all the hand stuff, we can do the leg stuff" 🤣

I mostly agree, but it seems inevitable that we'll see many forms of robots enter our workspaces, households, and streets - many of which may not be humanoid. But instead of taking shots in the dark at what embodiment to build, why not design them in lockstep with the AI that

We're thrilled to be launching Tilde. We're applying interpretability to unlock deep reasoning and control of models, enabling the next generation of human-AI interaction. By understanding a model's inner mechanisms, we can enhance both its reliability and performance—going

I got a few questions regarding our Physical Intelligence demo: 1. is it teleoperated? 2. is it scripted? 3. why is laundry hard? 1. No 2. No 3. Good question!

Astribot 🤝 Physical Intelligence (π)

Today, I am excited to share that Formal has raised $6.8M in funding led by Thrive Capital, with participation from Y Combinator , Abstract , and industry leaders such as Jean-Denis Greze 💡, Alexis Lê-Quôc, Aaron Katz, Matt MacInnis, Tido Carriero, @mathile_collin, Charles Gorintin,

Mechanistic interpretability is fascinating - but can it be useful? In particular, can it beat strong baselines like steering and prompting on downstream tasks that people care about? The answer is, resoundingly, yes. Our new blog post with Adam Karvonen, Sieve, dives into the

"Robotics companies now are where LLM companies were five years ago. Sometimes in the next five years we will see the ChatGPT moment for robots." —Bob McGrew

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.

Vision-language models can control robots, but what if the prompt is too complex for the robot to follow directly? We developed a way to get robots to “think through” complex instructions, feedback, and interjections. We call it the Hierarchical Interactive Robot (Hi Robot).

You know, they say if you talk to your robot from a very young age, they grow up to be socially apt and dexterously capable. physicalintelligence.company/research/hirob…

Distribution!

Today, we open-source Activault, a simple, high-throughput, and cost-effective solution to activation data management for accelerating interpretability research on frontier models. A 🧵… ~1/6~ tilderesearch.com/blog/activault

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⤵️

We’re entering a new era in robotics where generalized systems are starting to work in the real world, but researchers still don’t have good tools for understanding their data. That’s why I built ARES, an open-source platform for ingesting, annotating, and curating robotics data.

Don't use structured output mode for reasoning tasks. We’re open sourcing Osmosis-Structure-0.6B: an extremely small model that can turn any unstructured data into any format (e.g. JSON schema). Use it with any model - download and blog below!