#opg $OPG
The more I look at AI, the more I think we're paying attention to the wrong competition.
Everyone is watching the race to build smarter models. Every few weeks there's a new benchmark, a new release, and a new debate about which model is better. But while looking into OpenGradient, I found myself focusing on something that gets far less attention: the infrastructure underneath it all.
Most people don't think about infrastructure when everything is working. They think about it when it becomes a bottleneck. The internet wasn't built overnight. Cloud computing didn't become important overnight. In both cases, the infrastructure quietly became valuable long before most people realized it.
That's what makes OpenGradient interesting to me.
The project is built around a simple observation: if AI keeps growing, the demand for open and verifiable AI infrastructure grows with it. Not just smarter models, but the systems that host them, execute them, and make them accessible at scale.
Maybe that's why I'm less interested in asking which AI model wins.
I'm more interested in asking what happens if the infrastructure layer becomes just as important as the models themselves.
Because history has a habit of rewarding the layers people ignore in the beginning.
And OpenGradient seems to be building exactly in that layer.