#opg $OPG @OpenGradient
I almost added more to my OpenGradient position this morning, then stopped and reread what actually makes the project interesting instead of staring at the chart. Ended up keeping it as a small test bag, and I'm glad I didn't rush.
The part that keeps pulling me back isn't just decentralized AI. It's that OpenGradient treats inference and verification as network functions rather than something users are expected to trust blindly. That's a subtle difference, but I think it matters. A model output isn't very useful if another application can't independently verify where it came from.
It reminds me of how decentralized storage wasn't really about cheaper storage. It was about removing trust assumptions. I think AI infrastructure may be heading down a similar path.
Maybe users won't care until a major AI failure forces the conversation. But if that happens, projects building verifiable AI today could already have the foundation everyone suddenly needs.
I almost added more to my OpenGradient position this morning, then stopped and reread what actually makes the project interesting instead of staring at the chart. Ended up keeping it as a small test bag, and I'm glad I didn't rush.
The part that keeps pulling me back isn't just decentralized AI. It's that OpenGradient treats inference and verification as network functions rather than something users are expected to trust blindly. That's a subtle difference, but I think it matters. A model output isn't very useful if another application can't independently verify where it came from.
It reminds me of how decentralized storage wasn't really about cheaper storage. It was about removing trust assumptions. I think AI infrastructure may be heading down a similar path.
Maybe users won't care until a major AI failure forces the conversation. But if that happens, projects building verifiable AI today could already have the foundation everyone suddenly needs.