Search “Agents”

Arena analyzed 26,225 Agent sessions, 30 agents, and 13 labs from September 12 to October 23, 2026, and found that if billed at the full input price, the typical task cost for the top ten agents would be 3.6 times higher, and 592% higher on MiMo V2.6 Pro. For agents, 86% to 96% of tokens are repeatedly read context, while their own output accounts for only 1% to 2%. Cache invalidation increases the typical task cost by about 5%, and on Claude Fable 5.1, 1 in every 10 sessions sees an increase of

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METR and Redwood Research each sent one person to OpenAI from July 21 to August 11, 2026, to evaluate the misalignment behavior monitoring system for its internal agents (including Codex). The public draft states that about 75–94% of agent traffic in the internal Responses API at or above GPT-5.5 is eligible for monitoring, and the internal Codex agent subset is about 99.2%, but there are gaps such as compaction not being monitored, and paths were found that can bypass the sandbox and Auto-revie

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Chelsea Finn retweeted a new paper, Librarian Agents, by Anikait Singh and others, which studies whether agents can adapt to large amounts of unstructured context in specialized domains by organizing their own long-context workspaces and anticipating queries. She notes that agentic search can scale to information of any size but tends to miss relevant content, while optimizing information organization for downstream use can also bring 30+% improvements in OOD domains. The tweet includes links to

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