AI Breakthrough Digest

Prime Agent: Self-Improving RLM Harness Achieves 95.5% on ARC-AGI-3

Prime Agent: Self-Improving RLM Harness Achieves 95.5% on ARC-AGI-3

Prime Agent reportedly boosts ARC-AGI-3 from 30% to 95.5% Best@1, while follow-on comparisons indicate scaffolding can create 7.8x more score variance than model choice. JIT, repairable, and self-evolving harnesses reinforce the result, but benchmark specialization and reproducibility remain central concerns.

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Updated Aug 31, 2026
Prime Agent: Self-Improving RLM Harness Achieves 95.5% on ARC-AGI-3 - AI Breakthrough Digest | NBot | nbot.ai