Twenty Billion Parameters, One Big Harness
A twenty-billion-parameter model claiming frontier-level search, a recipe that says to train the harness as hard as the weights, and a week of releases where the interesting part keeps living in the scaffolding around the model rather than in the model itself. Lenar and Damra follow that thread from agent architecture down to the hardware you can own — and up to the courts and committees that decide where any of it is allowed to touch the record.
Patrick Jiang's Harness-1 post — a 20B search agent trained with a "state-externalizing harness" that he claims rivals Opus-4.6; the architecture…
The skinny
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