don't think I've ever finished reading about a technical project and closed my notes feeling quieter than when I started.

I went into OpenGradient expecting the usual story about making AI more powerful. Instead, I kept circling back to a much simpler question.
When an AI gives me an answer, what am I really trusting?
The model? The company? The server? Or am I just hoping everything worked the way it was supposed to?
From what I've understood, OpenGradient is trying to build a decentralized network where AI models can be hosted, run, and verified. I found myself spending less time thinking about the models and more time thinking about that last word: verified.
Maybe that's the part we've overlooked. We talk endlessly about making AI faster and more capable, but we rarely ask whether people should be able to check what happened behind the scenes.
I'm careful not to assume ideas like this will automatically succeed. Good technology doesn't always become widely used. It has to be simple enough that people actually want to build with it,

#OPG $OPG $TAC $BTC