One of the premier journals in my field... I think there are very valid reasons to set rules on AI in peer review (including disclosure), bu…

One of the premier journals in my field... I think there are very valid reasons to set rules on AI in peer review (including disclosure), but the idea that all AI models steal your data is very 2023. Require people to use enterprise accounts or models with training turned off. I don't understand the actual concern here. What is the actual risk from uploading a manuscript under review to an LLM for reviewer feedback? (Also, citations from 2023 about the capabilities of LLMs are not very reassuring.)

Related

• Some approaches: 1) Multiple reviews. Some papers already show having many AI team members review a problem reduces errors 2) Building in te…
• I think the story that was shared in the Mythos System Card still has the signs of flawed LLM writing (which looks like good writing at firs…
• It isn't at the level of the Big Three models when you poke at it, but a very solid start.
• (This is a big part of what was called emergence in earlier academic work on unexpected LLM ability gains)
• AI is jagged, but I think sometimes it is easy to overly focus on that. The generalness is a surprise too! LLMs may be optimized for verifia…

Source: Ethan Mollick (X) | 2026-04-18