A particular subset of Connectivism have a philosophical belief that the mind IS a neutral net, not that it is a reductive practical model. Hinton is one of th

A particular subset of Connectivism have a philosophical belief that the mind IS a neutral net, not that it is a reductive practical model. Hinton is one of these individuals and with no definition of what intelligence is it is an understandable of dogmatic position. This whole problem of not being able to define what intelligence is pretty much allows us all to pick and choose. In my mind BPP is the complexity class solvable by ANNs and it is a safe and educated guess that most likely BPP=P. BPP being one of the largest practical complexity classes makes work in this area valuable. But due to many reasons that I won't enumerate again AGI simply isn't possible and requires a dogmatic position to believe in for people who have even a basic understanding of how they work and the limits from the work of Gödel etc... But many of the top scientists in history have been believers of numerology etc... Associating math with LLMs is a useful too to avoid wasted effort by those who don't believe AGI is close, but it won't convince those who are true believers. LLM's are very useful for searching very large dimensional spaces and for those problems that are ergotic with the Markov property they can find real answers. But for most of what is popular in the press will almost certainly be a dead end for generalized use of the systems are not extremely error tolerant. Unfortunately it may take another AI winter to break the hype train but I hope not. IMHO it will have a huge impact but overconfident claims will cause real pain and misapplication for the foreseeable future.