# ASI-Bench：首个联合评估AI创新探索与自主科研能力的基准

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-08-18 08:00
- AIHOT 分数：62
- AIHOT 链接：https://aihot.virxact.com/items/cmszieman0euxrodp75rvnhj2
- 原文链接：https://arxiv.org/abs/2608.17271

## AI 摘要

ASI-Bench 是首个联合评估 AI 系统在通用研究领域创新探索与自主科研执行能力的基准，也是首个在同一研究项目中逐步撤除方法论指导的基准。该基准涵盖 11 个科学领域的 60 个项目级任务，在 18 种 SOTA 配置下，平均得分从完整指导的 50.91 降至仅指定方法时的 29.10，以及需自主确定方法时的 26.62，表明当前系统仍高度依赖人类指导。

## 正文

Artificial superintelligence (ASI) requires AI to move beyond mastering existing knowledge toward exploring the unknown, creating new knowledge, and turning new ideas into verifiable results. However, the capabilities of today's AI systems are still largely built on learning, compressing, and applying existing human knowledge. Accordingly, existing benchmarks primarily test whether AI can produce correct answers based on learned knowledge, or whether it can complete tasks under extensive human guidance. We therefore introduce ASI-Bench, the first benchmark to jointly evaluate AI systems' capabilities of innovative exploration and autonomous scientific execution across general research domains, and the first to progressively withdraw human methodological guidance within the same research project to test how far AI can proceed on its own. Built by over 40 experts with the cost of 31,000+ human hours, ASI-Bench contains 60 project-level research tasks across 11 scientific domains and progressively reduces methodological guidance to test whether AI can independently select methods, conduct research, and produce verifiable results. All tasks undergo expert review, AI-assisted auditing, sandbox execution, and scorer validation. Across 18 state-of-the-art agent--model configurations, the average score drops from 50.91 with full methodological guidance to 29.10 with only the method specified and 26.62 when agents must determine the method themselves. This sharp decline shows that current systems remain heavily dependent on human guidance and are still far from autonomously conducting end-to-end, project-level scientific research. ASI-Bench is open to the world. We invite researchers and builders everywhere to contribute new tasks, challenge the limits of today's AI, and help accelerate humanity's collective path toward artificial superintelligence at https://asibench.apexin.ai/submit.