AI4S面临数据枯竭！谷歌前CEO：靠「AI科学家」来解决

TL;DR - Former Google CEO Eric Schmidt argues that agentic “AI scientists” could advance AI for science despite scarce specialized datasets by reasoning over imperfect evidence and coordinating scientific tools.

• AI4S breakthroughs like AlphaFold depend on costly, decades-long data collection that many scientific fields cannot replicate.
• AI scientists use LLM-driven subagents to generate, critique, rank, and refine hypotheses while accessing digital or physical tools.
• Google’s Co-Scientist reportedly reproduced a hypothesis about cross-species antibiotic-resistance transfer that matched an unpublished experimental finding.
• Current limitations include hallucinations, inconsistent judgments, memory constraints, and limited autonomous operating time.