2 releases covered on ThursdAI · agentica-project.com ↗
Agentica claims to solve all public ARC-AGI-3 tasks
Agentica published a claim of solving all public ARC-AGI-3 tasks, adding to the week's theme of benchmark saturation. The panel discussed it alongside METR and ARC-AGI-2 results as part of weighing signal versus noise in headline benchmark leaps.
DeepSWE-Preview hits 59% SWE-Bench Verified with pure RL on Qwen3-32B
Agentica and collaborators (with guest Michael Luo of UC Berkeley) released DeepSWE-Preview, a fully open-sourced RL-trained coding agent built on Qwen3-32B that reached 59% on SWE-Bench Verified, a top open result in a benchmark dominated by closed systems. The team published training methodology and weights, emphasizing reproducible reward design and verification over sealed benchmark numbers.
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