#opg $OPG @OpenGradient

I used to think every blockchain had to follow the same validator model.

The more I learn about OpenGradient, the more I think that approach doesn't fit AI.

AI workloads aren't uniform, so why should every node be?

OpenGradient's node specialization lets different node types handle different responsibilities based on their capabilities instead of forcing identical hardware across the network.

In my opinion, this is a smarter way to scale decentralized AI

Because efficiency comes from specialization, not making every validator do everything.

$VELVET
$BTC