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.
E12 states that the routine trust placed in ordinary software is not appropriate for generative AI, and E32 states that time saved in text generation might be offset by the time required to verify the output and that LLM efficiency should be weighed against verification costs.
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
“That same level of trust is not appropriate with generative AI tools, however, since the tasks performed by AI are fundamentally different.”
Full-text passage · no page number · evidence E12
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.
- 02
“The time saved in text generation might be offset by the time required to verify the text generated.”
Full-text passage · no page number · evidence E32
Passage read from www.ebi.ac.uk, which may be a preprint rather than the published version.