Our world is messy and nature figured out the best way to understand it is via changes. That is how The Minimalist sees and understands the world.
The next breakthrough in physical AI is not stuffing data down a hyper-scaled transformer. It is by learning how the most efficient computer in existence learns — a.k.a. biological brains.
We built a neurocognitive model from the ground up, using neuro processes that we turned into learning algorithms. This is neuroscience turned intelligent.
13% zero-shot generalization from 5.2M samples — no policy on the leaderboard learns to generalize faster.
RoboCasa365 leaderboard, Composite-Unseen split, retrieved 07/21/2026 — robocasa.ai/leaderboard.html. Training samples = training steps × batch size (sample presentations during training). Per the leaderboard’s own note, training configurations differ across architectures and step counts are not directly comparable.
| Policy | Composite-Unseen % | Training steps | Batch size | Training samples (M) | Rate (pp per 1M samples) |
|---|