AI4S面临数据枯竭！谷歌前CEO：靠「AI科学家」来解决
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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Co-Scientist reportedly reproduced a hypothesis about cross-species antibiotic-resistance transfer that matched an unpublished experimental finding.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.
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AI4S面临数据枯竭！谷歌前CEO：靠「AI科学家」来解决
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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Co-Scientist reportedly reproduced a hypothesis about cross-species antibiotic-resistance transfer that matched an unpublished experimental finding.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.