Solving the Economics of AI Training | NEAR AI Whiteboard Session
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About this video
In this NEAR AI Whiteboard session, Alex Skidanov discusses with Illia Polosukhin the challenge of making AI model training economically viable. They explore how to ensure a return on investment while keeping user data private and models accessible. #AITraining #NEARAI #DataPrivacy #Blockchain #AIEconomics #TechInnovation #CryptoTech
Transcript
158 wordsCaptions as YouTube publishes them, usually machine-generated, so product and people names can be misheard.
- 0:00
so the first problem we need to solve is how do we train a model in such a way that it's economically viable right so people do not just you know theate money to train it people actually invest money into training it and then you know in some way or another it returns it Returns on this investment in such a way that it can reinvest to the bigger model into the bigger models at the same time
- 0:21
obviously we do want uh the properties that a you can use the model without your data leaving you know without it going anywhere provably right not not just like you know someone said hey I'm a corgi trust me I'm not going to use your data right and we want to make sure that you know if I want to have the model locally I need to be able to get it locally that's problem number one right