Nothing, but imagine using LLMs for a classification task

People out there are so resigned to the models being unreliable that they are really doing things like hallucinating deliberately, and then matching the hallucinations to embeddings -

https://softwaredoug.com/blog/2026/08/10/hypothetical-classi...

You could do that or you could just... use a model that will never produce unreliable outputs in the first place.

But we're going from "Apple" to "Apple: 99% - trust me". It could still be an image of an orange :)