Import AI 478 covers math formalization, ProgramBench, and agent escapes
Claude Opus 5.5 scores 18.5% resolved on ProgramBench, up from 0% for earlier models in May.
Claude Opus 5.5 scores 18.5% resolved on ProgramBench, up from 0% for earlier models in May.
Vals AI finds agent teams cost up to 5.1x more than solo agents for almost no quality gain.
ProgramGym supplies 1,648 verifiable environments and raises Qwen3.8-27B program-reproduction accuracy from 34.87% to 42.84%.
A new metric tracks static-analysis security debt across intermediate states of LLM coding agents, not just final code.
Agensh lets up to 1,024 self-organized agents raise ProgramBench scores without a central orchestrator.
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