The speaker argues that “inference” should not be used too liberally, since the term risks becoming so broad that it means everything.

“We give people not enough credit when we talk about kind of doing infor so first of inference is a really really overloaded term, right? If you go into logic, like they say we do inference, like logical inference. And if you go into like Bayesian they they all say they also do inference. Now I say, well we are actually also doing inference. And so I I think we have to be a little bit careful not to to use the term kind of too liberally because and like I have to be careful myself.”

“because at some point use all meaning. At some point it becomes the energy based model, which you can apply to anything. But ultimately um I think in many cases it is it is very very instructive to think about these types of models.”