The more I explore OpenGradient, the more I think they're solving a problem most people aren't paying enough attention to yet.
Everyone talks about making AI smarter.
OpenGradient seems more interested in making AI verifiable.
And honestly, that distinction feels important.
Today, we mostly accept AI outputs at face value. We get an answer, maybe double-check it, then move on.
But what happens when AI starts handling financial decisions, autonomous agents, or critical business workflows?
At that...
I keep coming back to OpenGradient because I like the idea, but I do not fully trust the setup yet.
The pitch is clean: AI models, builders, creators, traders, all feeding the same loop.
That sounds great on paper.
But markets do not pay forever for a nice idea. At some point they ask who is actually using it, who is paying, and who is left holding the token when the excitement cools off.
That is the part that makes me cautious. If supply keeps coming, costs stay high, and revenue is still...