it’s not just that either. the current implementation of “ai” is not artifical intelegence. these llm’s do not conceptualize the subject matter they regurgitate. by the very way they operate they can not achieve this. examples of this failure have already been demonstrated with the full glass of wine scenario, and the strawberry scrnario.

they operate on the tokenization of data, and their relationships, but where as a mind can form relationships between these nodes, an llm must be directed to do so. these directions are what they scrape. were it able to conceptualize there would be no need to train the llm’s as throughly as they do.

it’s why we get pizza with the cheese glued on top.

llm’s have their uses. but what is being sold is snake oil in order to cause a bubble for profit. if llms were just fed information with in a very specific scope, it could be a very useful tool without the need for it to scale up anywhere near this badly

Machine learning and neural network have their place but they are custom made for one task. Current "AI" or llms and image generators have very few real use cases and does not justify their resource use plus they make money for mentally ill persons.

Also the unnecessary toil is very necessary, but that's philosophy.

Anyway due to some quantum laws there is a hard barrier on how small you can make transistors or else electrons will just pass through, and we're getting close to it, so we can't reach AGI that way