What compounding loops are physical AI labs building?
A source-backed map of feedback surfaces across action models, embodiment transfer, humanoid fleets, dexterous contact, and world-model infrastructure.
Notes for physical-AI teams.
Physical AI's modality requirements
Empirical capture requirements inferred from Figure Helix 02 and Physical Intelligence pi0.7: what the data stream needs to preserve before policy learning starts.
Beyond web data: human-centric data for physical AI
Why physical-AI systems need situated demonstrations, sensor traces, and human-world interaction data instead of more web text alone.
From X
What’s needed to scale emergent capability in physical AI
Multi-sensory data, unique task-environment cells, and the 270k-hour bet for physical commonsense.
Open on X
The Role of the Data-preneur
Why physical-AI value accrues to operators who turn real work into buyer-ready training data.
Open on X