Morning Edition · Thursday, October 1, 2026Published at 2:20 AM EDT · New York
AREX-2 trains on synthesized long-horizon improvement trajectories and transfers to deep research, reaching 84.0 on BrowseComp and 52.6 on Humanity's Last Exam.

A team from the Beijing Academy of Artificial Intelligence (BAAI) posted AREX-2, which decomposes test-time self-improvement into two learnable capabilities: reflection, which produces a solution better than the current one, and long-horizo…
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Open-Weight Models Close the Gap With Closed Frontier Labs
Over the next 3-9 months, open-weight releases with downloadable weights, long context, and strong agentic/coding performance increasingly match closed frontier models on practical work, eroding the closed-lab moat.
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