Google DeepMind has published an essay arguing that while AI agents are increasingly capable of proposing hypotheses and designing experiments, the true constraint on scientific progress is now the ability to test those ideas in the real world. The lab frames this challenge as a growing "validation bottleneck" and lays out four priorities aimed at policymakers and research funders.
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