Not sure what the snark here is for: It would be trivial to produce a dataset where the model asked you questions then fine-tune on that.

People already do it with chain-of-thought and you could get away with a few dozen examples if you wanted to try this.

Out of boredom I decided to prove this too: I asked ChatGPT and Claude for ~200 samples in total.

Just uploaded the examples as-is to OpenAI, selected 3.5 as the model to fine-tune and about 20 minutes later I had my model.

Works fine, asks good questions, can ask more than 1 follow up question if needed, and actually changes its answers based on the clarifying questions.

https://imgur.com/a/SsXunVN

I'd bet a synthetic data set could do the job effectively.