#opg $OPG @OpenGradient

A lot of crypto AI projects still feel like they're chasing the same story: bigger models, more compute, faster inference. What caught my attention about OpenGradient is that it seems to be solving a different problem altogether. I don't think the long-term value comes from proving that AI can run in a decentralized environment. The harder challenge is making strangers comfortable relying on AI outputs they can't personally verify.

That's why I keep looking at the network through the lens of trust rather than infrastructure. If developers can request an inference, verify how it was produced, and treat that verification as a normal part of the workflow, then trust stops being a marketing term and starts becoming a utility.

The recent pace of building across the ecosystem makes me think this direction is intentional. To me, the biggest opportunity in decentralized AI isn't creating another marketplace for models. It's making confidence in AI outputs cheap enough that people stop thinking about it. If that happens, verification could become more valuable than the compute itself.