The Sequence Robotics #905: Who Builds the Robot Brain?
Frontier Labs, Startups, and the Race for Physical Intelligence
This is the first post of a new section of TheSequence focused on advancements in robotics. Our goal is to keep you up to date with the most important developments in AI robotics which is an area that is not well covered by other newsletters. For this first post, I wanted to discuss the current landscape of AI models for robotics.
Let’s start.
A language model can hallucinate a sentence and delete it. A robot can hallucinate a grasp and drop a wine glass.
That difference contains most of the robotics problem.
AI has largely advanced inside forgiving environments. Tokens are cheap, software can be reset, and failed generations disappear. Robotics moves intelligence into a world with gravity, friction, latency, broken parts, and humans who do not enjoy being treated as test data.
Robotics is what happens when an AI model leaves the library and discovers physics.
This is why the race for the robot foundation model will not simply replay the LLM market. Frontier labs have the strongest digital brains. Robotics startups have the bodies, field data, and scars. NVIDIA is building the factory around both. Hugging Face is assembling the open workshop.
The question is not who has the largest model. It is who can connect reasoning to reliable action.