Actually I endorse the fact that we are less shy of calling “AI” algorithms that do exhibit emergent intelligence and broad knowledge. AI uses to be a legitimate name for the field that encompasses ML and we do understood a lot of interesting things about intelligence thanks to LLMs nowadays, like the fact that training on next-word-prediction is enough to create pretty complex world models, that transformer architectures are capable of abstraction or that morality arise naturally when you try to acquire all the pre-requisites to have a normal discussion with a human.
Me as an intern in a lab, being asked among others to review a draft
Hey, can you explain to me equation 3.1? I am not sure what N and Q refers to?
Oh that one I just copied from another paper, it is not really important to the argument.