Weekly ยท Research briefing
Researcher's Guide to Physical AI
A weekly technical briefing on robotics, embodied AI, and the physical world
Every week, a deep-yet-accessible 15-minute briefing on what happened in Physical AI: robot foundation models, humanoids, manipulation, simulation, world models, and the research behind them. Built for researchers and curious newcomers alike, every episode gives you the background you need, then goes deep with concrete examples. Each episode ships with a long-form written deep dive.
Episodes
7 published
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Amodei Says Slow Down, Huang Says No, Figure Leaves the Lab
Dario Amodei asked the frontier labs to pace themselves, Sam Altman said OpenAI would match one commitment, and two days later Jensen Huang told the President on speakerphone "we're not going to let that happen, sir." The essay never mentions robots, though nearly everyone on both sides of it owns a stake in one, and nobody said whether a robot foundation model is part of what gets paced. Then Figure sent its humanoids into thirty homes they had never seen, where pretraining on people's phone videos did most of the work, with no trial count published. Also: human touch standing in for robot touch, Digit 5's new knees, and UBTECH's ten-minute humanoid factory.
- Industry
- Safety
- Humanoids
- Robot Data
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Agility $1.8M of Robots, Skild $100M ARR, Depth for Free
A humanoid maker's books went public for the first time under securities law, and they show $1.8 million of robot sales against a $2.5 billion merger valuation, while the company selling robot software rather than robots reported fifty-five times that in recurring revenue. In the same seven days, three groups published three incompatible answers to where a robot's imagination should come from, and none of them cites the others. Also: a model trained to edit pictures turns out to be better at depth than the models built for depth, and four tactile datasets landed at once, with the largest still short of what its own authors say the field needs.
- Industry
- World Models
- Robot Data
- Perception
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NVIDIA Bought Hugging Face and Never Said Robots
NVIDIA agreed to buy Hugging Face for just under thirteen billion dollars, which puts the shelf almost every open robot model sits on inside the company that sells the chips those models train on. Its own announcement of the deal never uses the word robotics, not once, and three days earlier a small company in Oslo opened a graded, licensed marketplace for humanoid training data in Hugging Face's robot file format. Also: Skild claims one video in the context window can replace the fine-tuning step entirely, a policy graded on the force it expects to feel goes from fifteen percent to eighty-two on sub-millimetre assembly, and Waymo opened three cities on the minivan it built to be cheap in the same week Tesla started charging riders in forty-five Cybercabs.
- Industry
- VLAs
- Manipulation
- Autonomy
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Anthropic Wants to Sit Between AI and Machines
Anthropic previewed a driver specification that would let any model discover and operate a microscope, a laser or a robot arm, and in the limitations section of the same announcement it says the model can't reliably predict that shaking a liquid makes bubbles. On the same day, a federal judge threw out the Pentagon's blacklisting of the company for refusing to let its models drive autonomous weapons. Also: Unitree gave back half its value while a rival raised close to a billion dollars in the same five days, the Beijing robot games made the flat sprints autonomous and quietly left the hurdles teleoperable, and a sprinting humanoid invented a new arm posture because swinging its arms would have cooked its shoulders.
- Industry
- Humanoids
- World Models
- Safety
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Anthropic Aims for a Record IPO, Unitree Up 460%
Anthropic has told its bankers it expects the largest first-time share sale in history, and it is reportedly still trying to buy a world-model company for six billion dollars while it does. A private lab can fund a five-year bet on physics, and a public one answers to a quarterly clock, which makes this the most consequential open question in Physical AI right now. Also: Unitree closed its first day of trading up 460 percent on a shipment number three organisations can't agree on within fifty percent, three labs independently decide the headroom is in the loop around the policy rather than in the weights, and a new benchmark finds that up to a quarter of recorded successes on soft objects crushed the object.
- Industry
- Humanoids
- Benchmarks
- VLAs
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Your Simulator Has Never Seen a Robot Fail
About twenty researchers spent a paper writing down, formally, the rule that when you tell a learned simulator to move the robot's arm, the arm should move. Six of the open-source world models the field builds on don't reliably obey, and a second paper explains why: trained only on successful demonstrations, they've never had a reason to learn what a bad action does, so feed them one and they show you the task succeeding anyway. Also: Google DeepMind's whole-body humanoid stack, which contains no world model at all, a robot that triples its success rate under a lighting change because it learned where to look, and the training examples that poison a dataset by being correct.
- World Models
- Benchmarks
- Robot Data
- VLAs
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Looks Like Physics, Isn't Physics, and World Action Models
Two teams tested, independently and in the same week, whether the video-generating world models robotics is betting on actually understand physics. They get the shape of a falling mug right and the numbers underneath it wrong, which matters, because these are the simulators meant to replace real robot data. Also: why choosing your training video beats collecting more of it, a robot that spots a fake instruction and obeys it anyway, and a short primer on world action models, including why imagining the future turns out to matter in training but not at run time.
- World Models
- Simulation
- Safety
- Humanoids
Your host
Shubham Shrivastava
Shubham Shrivastava leads AI at Kodiak, where his team builds the world foundation models and camera-lidar-radar perception behind the first 24/7 driverless freight fleet, real trucks, paying freight, no safety driver. He led perception at Ford's autonomous vehicle program before that. He reads the research here the way he reads it at work: not whether a result is impressive, but whether it survives contact with the road.