27B参数智能体Faraday复现论文击败Claude Opus 4.8和GPT-5.5

8和GPT-5.5。

奖励信号来自自动生成的rubric judge，与人类评估一致性高。论文已发布在arxiv.

org/abs/2608.13331。

A 27B agent just beat Claude Opus 4.8 and GPT-5.5 on held-out research replication. Replica turns paper replication into a scalable RL task space. Replicating a paper forces the same hypothesis-driven exploration as open research, and it surfaces details the original authors left underspecified. The reward signal comes from an auto-generated rubric judge that runs low-noise and agrees with human assessment of replication quality. Faraday, the resulting 27B agent, calls coding agents as tools. Rollout analysis shows it takes a more scientifically principled approach rather than gaming the rubric. The authors argue this points toward long-horizon scientific capability trained into weights, without requiring complex harnesses. Paper: arxiv.org/abs/2608.13331 Track more trending AI papers in our academy: academy.dair.ai📊 11 ⚡

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Faraday, Claude Opus 4.8, GPT-5.5, 论文复现.

Source attribution: curated from elvis (@omarsar0). Cross-source corroboration: 2 independent sources have covered this development (including Decoder), confirming industry-wide signal strength.