ARC-AGI
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- Agent Harnesses Reportedly Drive Large ARC-AGI Score Gains
An InfoQ 中文 AI&大模型 account of YC Paper Club's Harness Night says the same model weights can score from 30% to 95% or even 100% on ARC-AGI when the harness changes. Seth Karten described a harness as an expressive layer spanning model weights, active context with a REPL, and filesystem-like scheduling state, with compression, CRUD operations, and refinement connecting the layers. Other talks addressed hardware limits and organizational issues involving permissions, trust, and collaboration.
InfoQ 中文 AI&大模型 · 🔥 0
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