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Why The Harness Matters More Than The Model
Why The Harness Matters More Than The Model | YC Paper Club
YCY CombinatorFull transcript
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Summary:YC harness researchers show scaffolding delivers the biggest capability jumps: identical weights score 30% on ARC-AGI, then 95% with a better harness. Talks cover a self-improving RLM harness, context as a cache hierarchy, a local AI stack 800x cheaper than the cloud, and YC's 50-agent fleet.
Core points (3)
Core points (3)
- 1Identical model weights jump from 30% to 95% on ARC-AGI purely from better harnessing.
- 2Treat context like an L1/L2/L3 cache hierarchy with explicit agent-side garbage collection.
- 3Self-improving harnesses that rewrite their own prompts and code are now a research frontier.