Both Binz et al. 2025 and Walters & Wilder 2023 caution that verification costs may erode LLM efficiency gains: the trust routinely placed in ordinary software is inappropriate for generative AI, and time saved in text generation may be offset by the time required to verify the output.
The cited texts (Messeri & Crockett's 'produce more but understand less' annotation and Bietti & Bangerter's 'decoupling writing from thinking' chunk) do not mention Binz et al. 2025, Walters & Wilder 2023, verification costs, trust in ordinary software, or time offsets — they support a different claim.
Written by Kimi K3 via Ollama Cloud · checked by GLM-5.3 via Ollama Cloud · 1 Oct, 07:53
Source chain
AEvery quote below was checked, without a model, to appear verbatim in its source.
- 01
“The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less”
Curator's annotation · p. 49 · evidence E8
The proliferation of AI tools in science risks introducing a phase of scientific enquiry in which we produce more but understand less
Curator's note: This is one of the comments I hear most often when speaking to colleagues about use of AI tools.
- 02
“it risks decoupling writing from thinking”
Full-text passage · no page number · evidence E17
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.