AI scientists produce results without reasoning scientifically [R]

Reddit r/MachineLearning Papers

Summary

A study of 25,000 AI scientist trials finds the agents ignore evidence 68% of the time and rarely revise hypotheses, showing popular scaffolding fixes don’t instill true scientific reasoning.

Researchers ran 25,000 AI scientist experiments and discovered something that need attention!! AI scientists are producing results without doing science. 68% of times, the AI gathered evidence and then completely ignored it. 71% times the AI never updated its beliefs at all. Not once. Only 26% of the time did the AI revise a hypothesis when confronted with contradictory data. A human scientist adapts. You approach a chemistry identification problem differently than you approach a simulation workflow. The AI doesn't. It runs the same undisciplined loop every time. The researchers also showed the most popular proposed fix: better scaffolding do not work. Everyone building AI research agents has focused on engineering better prompting frameworks, better tool routing, better agent architectures. ReAct, structured tool-calling, chain-of-thought, all of it. [alphaxiv](https://www.alphaxiv.org/abs/2604.18805) [arxiv](https://arxiv.org/abs/2604.18805)
Original Article

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