#opg $OPG
Everyone’s obsessed with how smart these AI models are getting, but nobody wants to talk about who’s actually holding the leash. It’s all centralized. You’ve got a handful of companies sitting on the servers, the data, and the compute. They hold all the cards. It’s convenient, sure, and it works fast, but it’s basically a black box. You ask a question, you get an answer, but you have no idea how that output was cooked up or what filters they quietly pushed in the background.
When this stuff starts running banks or deciding what we see online, that "trust me, bro" model gets sketchy. There’s no way to audit it. If they tweak a model to favor one outcome over another, you’re just left guessing.
Then you look at the decentralized side of things. It’s not just about making models open-source; it’s about breaking the execution away from the company that built it. Systems like OpenGradient are trying to split the work—letting nodes handle the compute while using math to prove the work was done right. You don't have to take the CEO's word for it. The system itself handles the receipts.
People act like decentralized tech is always going to be clunky or slow compared to the big tech giants. I don’t think that’s the end goal. It’s just about having an alternative that doesn't belong to one entity. If AI is going to be everywhere in our lives, being able to move your data around or verify that an answer wasn't tampered with matters way more than whether the model is 5% faster than the competitor's. Having control over the infrastructure is probably going to be the real fight, not just training bigger models.
@OpenGradient #OpenGradient #BinanceSquareTalks
