Researchers are not philosophically opposed to AI tools — they are running the arithmetic and finding the numbers do not add up. The Bluesky conversation that concentrated this week was not about AGI risk or labor displacement; it was about whether AI-assisted research actually saves time when every output requires verification [19]. The calculation is straightforward: if the tool produces errors at a rate that demands full review of its outputs, the tool has not reduced the researcher's burden — it has added a new layer of quality control on…