User-Owned Internet & AI: The Real Challenge in Model Training
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About this video
In this NEAR AI Office Hours episode, Illia Polosukhin discusses the concept of a user-owned internet and AI, emphasizing that while decentralized model training is promising, the real challenge is creating a high-quality model. Big players like OpenAI, Meta, and Google are all working on it, but the gap in achieving truly great models remains a key hurdle. #UserOwnedAI #Blockchain #NEARAI #DecentralizedAI #ModelTraining #AIRevolution #TechTalk #NEARprotocol
Transcript
180 wordsCaptions as YouTube publishes them, usually machine-generated, so product and people names can be misheard.
- 0:00
we we have this like user own internet right as like a main thing that I think like all of the different blockchain work is fitting into and as part of that you need a user own AI which is like optimized for you as individual but and like everybody's kind of okay let's you know have decentralized training right let's you know train models in decentralized way because that gives us kind of lots of
- 0:23
guarantees but the challenge that uh is really there is actually it's not the cord of a bunch of gpus to train the model that's hard it's actually getting to really good model that's hard that's like the reality is there is you know there's open Ai and like still a pretty big gap meta Google uh and there's like hundred other companies that are training models right now and they're not like actually matching right so like they don't even have the problem of coordinating gpus they just like buy a
- 0:54
cluster and training it the getting good model is the hard part