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GPT-6 Astra and Claude Fable 5.2 hit a 5,384-task bloodbath and every AI founder is…

GPT-6 Astra and Claude Fable 5.2 hit a 5,384-task bloodbath and every AI founder is sweating Microsoft Research…

This is a dev post classified by Jev as AI dev tools (a tutorial), kept by the Dev Radar because it carries real work, not commentary.

GPT-6 Astra and Claude Fable 5.2 hit a 5,384-task bloodbath and every AI founder is sweating Microsoft Research released LoopsBench across 112 long-horizon software projects in 8 programming languages, evaluating persistent agents across 5,384 separately testable units: Claude Opus paired with an outer continuation loop topped the leaderboard, resolving 25.00% of tasks while burning thousands of tokens per run Most enterprise teams evaluate models on localized single-shot benchmarks like SWE-bench, expecting prompt tweaks to fix production code. LoopsBench shows that single-turn harnesses fa

Posted by marfin (3.5k followers) 1 h ago · 6 likes · 342 views · view the original post on X. Kept by the Dev Radar as AI dev tools.

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