Harness Lab
The model is fixed โ tune the harness around it. Step budgets, verifiers, observation shaping, typed errors: same model, 34% โ 92% of tickets solved.
Small, weird, hands-on ML experiments. Every demo below runs and trains entirely in your browser โ no backend, no build step, and most of them with no libraries at all.
The model is fixed โ tune the harness around it. Step budgets, verifiers, observation shaping, typed errors: same model, 34% โ 92% of tickets solved.
Build an LLM-as-a-Judge protocol and watch it crown the wrong model. Position, verbosity and self-preference bias โ measured by counterfactual.
Draw a sprite. A tiny neural cellular automaton learns to grow it from a single pixel โ then erase chunks of it and watch the wound close itself.
Training as a score: each layer is a drone voice detuned by its gradients. An out-of-tune orchestra that tunes itself as the loss falls. Headphones on.
Teach your browser your signs: record a handful of samples, train in ~200ms, then fingerspell at the camera and watch it type. Nothing is uploaded.
Don't store pixels โ store a function. A SIREN learns f(x,y) โ color until it is your photo, then fights JPEG at the same byte budget.
A world model watches Pong until it learns the physics โ then the simulator switches off and you play inside the network's hallucination as it drifts.
Blobs of springs and joints learn to walk with no brain and no backprop โ just mutation and the rule that whoever crawls furthest gets to reproduce.