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OpenAI cracked Navier-Stokes with 10,000 agents in 88 hours. The direction came from a 2021 thesis written without a computer. Compute scales the search. Taste still picks it. Here is how to extract taste to steer an autoresearch loop, and three UX to try.
Shortening two caliper skills, grill-skill and evaluate-skill, by about 45% using a non-inferiority eval bar: prove the shorter version is no worse before shipping the cut.
A case study in using Caliper to evaluate blader/humanizer, tighten voice calibration, and turn the improvement into an upstream contribution with regression coverage. With a postscript on what the maintainer did instead.
Tribal knowledge encoded as an AI skill is still just text until you evaluate it. Ablation baselines, routing regression tests, trajectory autoraters, and the gotchas flywheel keep encoded knowledge from rotting.
