Verification Is Not Knowledge: Science needs more than answers

The article explores a fundamental tension in modern science between prioritizing verifiable outputs (proofs, cures) and preserving human understanding of how those results are achieved. While AI's ability to produce correct answers raises questions about whether human comprehension remains necessary, the author argues that understanding is not merely a secondary concern but integral to science—enabling knowledge integration, inspiring future researchers, and maintaining accountability for claims. The debate hinges on whether science's ultimate goal is simply obtaining answers or fostering genuine human insight and understanding.