#opg $OPG I was reading through some old crypto project postmortems today, not specifically about OpenGradient just a general research habit I have.

One pattern kept showing up that I couldnt ignore.

Almost every failed decentralized AI project from the last few years died the same way. Not because the technology was bad. Not because the team disappeared. They died because the gap between what they promised and what developers could actually build on top of them was too wide to cross.

Great whitepaper. Unusable SDK. Developers bounced after the first week of trying to integrate.

The reason I keep coming back to $OPG when I think about this pattern is the ONNX decision specifically. Supporting a format that serious ML developers already use means the integration gap is smaller from day one. You're not asking someone to learn an entirely new system just to test whether OpenGradient works for their use case.

Small things like that decisions that reduce friction for the people who actually have to build on your network tend to separate projects that get real developer adoption from projects that get whitepaper praise and nothing else.

Still early to say which category OpenGradient ends up in. But the decision making pattern so far is pointing in the right direction.
@OpenGradient