There’s too much focus on AGI. Language models do not emulate human minds - they are models of language. The emergent behavior from these models are only a side effect of their main training task, which is to build a model of all meaningful sequences of words. We then use RFHL to bias the model toward a small area of the language latent space which conforms to our idea of intelligent behavior. Humans (a GI) have zero…
> zero ability to do language modeling If I am reading this correctly; then who invented/discovered attention networks ?
I would add that the above comparison is misleading, because humans have a massive advantage in that they have prior knowledge of what words mean. A more apples-to-apples comparison would have the human do next word prediction on a language they don't know.
This would be akin to me giving you a few GBs of Chinese text, with no grounding or translation, then try to communicate with you in Chinese after you've read the whole thing.