盘点AI科学家现状，看它离改变世界还有多远
How Far Are AI Scientists from Changing the World?
- 从科研自动化出发，系统梳理现有AI科学家能力边界
- 指出当前模型在突破性发现上仍缺关键能力，难以独立解决重大科学难题
- 适合关注AI与科研融合的学者、科技政策制定者阅读
大型语言模型（LLMs）正推动自动化科学发现迈入新阶段，基于LLM的AI科学家系统已在科学探索中崭露头角。已有若干重要成果问世，部分由AI生成的研究论文已被ICLR 2025研讨会接收，预示着具备人类水平、能发现人类未知现象的AI科学家可能即将实现。本文聚焦核心问题：AI科学家距离改变世界、重塑科研范式还有多远？通过前瞻性综述，全面分析当前AI科学家系统的进展，识别关键瓶颈与实现突破性发现所需的核心组件。旨在清晰揭示现有系统局限，明确当前所处位置、缺失要素及科学智能的终极目标。
原文摘要 · Abstract (English)
The emergence of large language models (LLMs) is propelling automated scientific discovery to the next level, with LLM-based Artificial Intelligence (AI) Scientist systems now taking the lead in scientific research. Several influential works have already appeared in the field of AI Scientist systems, with AI-generated research papers having been accepted at the ICLR 2025 workshop, suggesting that a human-level AI Scientist capable of uncovering phenomena previously unknown to humans, may soon become a reality. In this survey, we focus on the central question: How far are AI scientists from changing the world and reshaping the scientific research paradigm? To answer this question, we provide a prospect-driven review that comprehensively analyzes the current achievements of AI Scientist systems, identifying key bottlenecks and the critical components required for the emergence of a scientific agent capable of producing ground-breaking discoveries that solve grand challenges. We hope this survey will contribute to a clearer understanding of limitations of current AI Scientist systems, showing where we are, what is missing, and what the ultimate goals for scientific AI should be.
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