A thought kept bothering me while looking at @OpenGradient .
People often assume open networks automatically reduce switching costs because everything is interoperable. I'm not sure that's how this ends.
If a growing number of AI models, hosts, inference providers, and verification flows all become connected through the same operational standards, users start building habits around those standards. Developers optimize for them. Operators organize around them. Verifiers depend on them.
At that point, leaving the network may not be technically difficult.
It may be economically difficult.
The interesting part is that the lock-in doesn't come from ownership of models or infrastructure. It emerges from the relationships between them.
The more valuable coordination becomes across OpenGradient's hosting, inference, and verification layers, the more costly it becomes to rebuild those connections somewhere else, even if every component remains theoretically portable.
That's why I think the long-term moat for Open Intelligence might not come from controlling intelligence itself.
It could come from becoming the place where the largest number of participants already know how to work together.
If that happens, switching costs won't look like traditional lock-in.
They'll look like the cost of leaving a coordination network that everyone else already uses.
@OpenGradient $OPG #OPG
$ESPORTS $BR
People often assume open networks automatically reduce switching costs because everything is interoperable. I'm not sure that's how this ends.
If a growing number of AI models, hosts, inference providers, and verification flows all become connected through the same operational standards, users start building habits around those standards. Developers optimize for them. Operators organize around them. Verifiers depend on them.
At that point, leaving the network may not be technically difficult.
It may be economically difficult.
The interesting part is that the lock-in doesn't come from ownership of models or infrastructure. It emerges from the relationships between them.
The more valuable coordination becomes across OpenGradient's hosting, inference, and verification layers, the more costly it becomes to rebuild those connections somewhere else, even if every component remains theoretically portable.
That's why I think the long-term moat for Open Intelligence might not come from controlling intelligence itself.
It could come from becoming the place where the largest number of participants already know how to work together.
If that happens, switching costs won't look like traditional lock-in.
They'll look like the cost of leaving a coordination network that everyone else already uses.
@OpenGradient $OPG #OPG
$ESPORTS $BR