←back to thread

385 points vessenes | 1 comments | | HN request time: 0.262s | source

So, Lecun has been quite public saying that he believes LLMs will never fix hallucinations because, essentially, the token choice method at each step leads to runaway errors -- these can't be damped mathematically.

In exchange, he offers the idea that we should have something that is an 'energy minimization' architecture; as I understand it, this would have a concept of the 'energy' of an entire response, and training would try and minimize that.

Which is to say, I don't fully understand this. That said, I'm curious to hear what ML researchers think about Lecun's take, and if there's any engineering done around it. I can't find much after the release of ijepa from his group.

1. iammrpayments ◴[] No.43369418[source]
Why do they have to use the word “hallucination” when the model makes a mistake, if you tell your teacher or boss you didn’t get the answer wrong, you’ve hallucinated it, he will send you to the hospital.