I used to think the value of an AI network would come from the models it hosts.
Now I’m not so sure.
A great model can attract attention, but attention is temporary. What lasts is the infrastructure that allows new models to enter, compete, and improve without needing permission from a central authority.
That’s one reason I keep watching OpenGradient.
The long-term opportunity may not be creating a single winning model. It may be creating a network where intelligence becomes a continuously evolving resource rather than a fixed product.
This is where OPG token becomes interesting to me.
If more models, applications, and operators begin interacting through the network, OPG token could end up reflecting the growth of an entire ecosystem rather than the success of any single AI project.
And that changes the way I think about value.
Instead of asking which model will win, I find myself asking which networks can keep attracting innovation year after year.
If decentralized AI continues expanding, the projects that connect participants may become more important than the participants themselves.
@OpenGradient #0PG $SYN $TNSR That possibility is why I keep coming back to
$OPG .