如何判断AI是否足够聪明以从事科学研究？

New tests gauge whether large language models can use their troves of knowledge to actually make discoveries For years, artificial intelligence (AI) researchers have dreamed of developing tools that could supercharge science by posing novel questions, designing experiments, and perhaps even carrying them out. In recent months, large language models (LLMs) have made discoveries that some AI developers claim have inched us closer to that future. But how do you test whether an AI model can truly do science? For answers, researchers turn to benchmarks: standardized sets of questions or tasks that help assess an AI’s capacities and compare it against other models. But the complexity of science makes judging their aptitude for it especially challenging. …