@OpenGradient MIGHT BE SOLVING THE WRONG PART OF AI... OR MAYBE THE MOST IMPORTANT PART

The problem isn't that AI is too slow.

The problem is nobody knows what the hell is going on behind the curtain.

Every week there's a new AI project. Bigger model. Faster model. Smarter model. Same promises. Same hype cycle. Everyone wants to talk about what AI can do. Almost nobody talks about whether you can actually trust it.

That's where #OpenGradient gets interesting.

Not because it's trying to build another shiny AI app. We've got enough of those already.

It's focused on the boring stuff. Hosting models. Running inference. Verifying outputs. The kind of infrastructure most people ignore until something breaks.

And things break all the time.

Models hallucinate. Results can't be checked. A few companies control everything. Users are expected to trust black boxes and hope for the best.

Maybe that's fine for some people. It isn't for me.

If AI is going to end up everywhere, then there needs to be a way to verify what's happening instead of just taking someone's word for it.

That's the part that feels missing right now.

OpenGradient isn't the loudest project in the room. But lately I've started paying more attention to the projects building the plumbing instead of the ones screaming about changing the world.

Because after all the hype, I just want stuff to work.
#opg #OPG $OPG
What's the biggest problem with AI right now?