This seems part of a broader pattern which isn't specific to gender. In my experience, LLMs match the sophistication of the answer to the user's inferred level

This seems part of a broader pattern which isn't specific to gender. In my experience, LLMs match the sophistication of the answer to the user's inferred level of understanding. Linguistic habits like hedging and tag questions seem to overlap between "ways women talk" (at least, according to this paper) and "ways people who are uncertain about a topic talk." > users cannot easily avoid them through strategic self-presentation Prompting LLMs differently than you talk to humans doesn't really seem that hard. I already do this (e.g. ask basic questions in a separate chat so I'll look smart, and get better responses, in the main session.) Disclaimer: only read the abstract, feel free to point out if I missed the point.