Continual-ARC benchmark: top agents fail to learn from experience, a 9B model doesn't
HeyNayeem · x · 2026-11-12
Unify.ai's new Continual-ARC benchmark finds OpenClaw, Hermes Agent and Prime Agent can't meaningfully learn from experience — no valuable memorization, no generalization to new tasks — while fine-tuning a small 9B model achieved both. Suggested test: rerun the same campaign brief two weeks apart and see if your AI remembers previous feedback.
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