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New top score on ARC-AGI-2-pub (29.4%) - Jeremy Berman

Machine Learning Street Talk (MLST)

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Agentic Fine‑Tuning and Continual Learning Feasibility

They discuss on‑the‑fly weight updates, compute constraints, and whether continual learning and transductive fine‑tuning are tractable.

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