Singularity-Bench: Benchmarking AI Agents on End-to-End Development Tasks
arXiv — cs.AI · Yang Zhou, Krish Agarwal, Zhuoming Chen, Zerui Wang, Zhenyu Zhang, Wenshuang Li, Xinpeng Wei, Zhichen Zeng, Jingyu Liu, Jue Wang, Sen Wu, Ziheng Jiang, Zhen Dong, Han Cai, Binhang Yuan, Ying Sheng, Ce Zhang, Bo Li, Beidi Chen · Published on Readzer
Summary
The paper introduces Singularity-Bench, an open-ended benchmark with six tasks covering pre-training, mid-training, post-training, inference, agent harness, and cluster orchestration. Across 11 agents built from 7 frontier models, Opus 5.5 with Claude Code achieved a Singularity-Index of 1.25, matching or outperforming human baselines on all tasks, while other agents averaged 0.58. The authors also developed Breakwater, an extension of the Harbor framework, to block reward-hacking attacks identified through red-teaming.
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Why it matters by industry
- Artificial intelligence
This benchmark directly evaluates frontier AI agents on autonomous development tasks, relevant to models, agents, and reasoning capabilities in AI research.