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Storia in 3 fonti
Researchers grow a hypothesis tree for AI coding agents
A new framework, Arbor, they claim, preserves hypotheses, experiments, and lessons learned across long-running research tasks, delivering 2.5x better performance than other models under the same budget.
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venturebeat.com
AI optimizer beats Claude Code, Codex by 2.5x
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.
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cryptobriefing.com
Arbor framework outperforms Claude Code and Codex by 2.5x in AI optimization benchmarks
Arbor, an open-source AI framework from Renmin University and Microsoft Research, outperforms Codex and Claude Code by 2.5x across optimization benchmarks.
