The risk of AI advances outpacing science’s ability to test hypotheses

One post asks why AI’s progress in coding and mathematics has yet to fulfill many promises of public benefit. A quote post relays the same researcher’s warning that noncomputational sciences need physical labs to validate or disprove findings. Concentrating investment on AI, the researcher argues, could leave science with more hypotheses than it can process.