Nine AI intelligent bodies autonomous research did not reach expert standards

1. 15:06
   QbitAI

   Unbounded Frontiers opensources Fx-Bio-1031, life science RSI model surpassing GPT-6-Astra and Opus-5

   The boundaryless front-end open-source biological information large model Fx-Bio-1031 achieved 70.59% Pass@5 on the BioMysteryBench benchmark test, significantly outperforming GPT-6-Astra (47.06%) and Claude Opus-5 (52.94%). Fx-Bio-1031 adopts an efficient MoE architecture with 125B parameters and supports localized deployment, suitable for drug development, multi-omics analysis, and other scenarios.

1. 01:19
   Hacker News · 300+Featured

   MaxxBench release: Model scores show significant divergence after rewriting DeepSWE tasks

   The MaxxBench team made minor changes to 89 DeepSWE tasks (median reference patch added only 17 lines, 3.5%), re-evaluating 15 model configurations, finding the difference between the highest and lowest scores expanded from 20.9 percentage points in DeepSWE to 48.3 percentage points.

1. 19:13
   The DecoderFeatured

   Nine AI entities attempt autonomous research on open problems at US national laboratories, none reaching expert standards

   A study made Claude Opus 4.8, Claude Opus 5, Claude Fable 5, Claude Opus 5.5, GPT-5.6 Sol, GPT-6 Astra.

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