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Three arXiv papers push AI agents further: metacognitive self-modification, milestone-based RL lifting Gemma3-12B from 6% to 43% on WebArena-Lite, and hybrid workflows cutting inference costs 19x.
OLMo Hybrid combines transformer attention with Gated DeltaNet to match OLMo 3 accuracy using 49% fewer tokens and 75% better throughput on long contexts. Fully open - weights, checkpoints, training code, and technical report.
