Disclaimer im a normie but why does it seem like several companies have been able to make AI at the same time, was there some sort of technical block that was stopping it until recently?
>>16138486Open sourced models. Hardware to run them on were already bought for other purposes.
>>16138486Attention Is All You Need...transformers and some such idk
>>16138486Either, a single organisation is responsible for modern-day AI applications and simply hands out or leases versions of it to other corporations which can build upon it. Or numerous companies simply started copying from each other, having realized that some company wants to cash in on AI technology, so they started doing the same. It's probably a combination of both. Basic research on AI technology probably did not allow for a good way of generating images until recently. Once it did, numerous companies started pouring cash into it which resulted in derivative applications.
>>16138486Massive amounts of cheap fast cloud accessible storage.
Which company has successfully created AI?
>>16138486>SuddenlyBitch, chat bots existed sense at least the 70's Stuff started getting wild in 2015 Member Tay? That was 2016Then there's bert and gpt-j and gpt-1 and 2https://youtu.be/XFYckCslt74?si=XIG6SyosUz99xUTW&t=41This is nearly 10 years of ramp up.Meta got all those GPU's to build models to predict what reels to shovel down your gullet. Then they released the models just to be a spoiler on Microsoft. I mean, I'm thankful for it but they never would have released them if they had been in the #1 spot and could effectively monetize it. Finding the local maxima on transformers will be explored quite extensively but LLM's existed before transformers and it is almost centrally not the best possible way to reach AGI. It's still unclear just how far longer training, larger context windows, rag and agents will get us. Probably you though enough agent like behavior at it and you can hammer this shit into a functional AGI.The brain has 100 Trillion synapses, but you really only need less than an eighth of that for consciousness. And those synapsis run at a dismal 1hz to 200 hz, to run consciousness you probably only need like 20 watts in a flesh computer. These models are trained on hundreds of lifetimes worth of data. Meanwhile a kid can learn to speak in like 3 years of training data. There is clearly a better way to architect an AI, humanity will just keep picking away at it. Probably eventually there will be multiple ways AGI is achieved, each with their own strengths and weaknesses, and some that end up obsolete. Personally I like the efforts to model connectomes.
>>16138486Because the method for doing so is published research.
>>16138486>was there some sort of technical block that was stopping itnomenclature
>>16138486we needed bitcoin to prove that gpus weren't just for faggot gaymers, and SV techbros to translate indecipherable math jargon into practical code
