I'm stuck on a question.
It's not TEE.
It's not ZKML.
It's not the unlock of $OPG .
It's something simpler.
If the OpenGradient network suddenly stops running tomorrow, who would feel it the most?
The users?
The developers?
Or the node operators?
The more I dig into @OpenGradient , the more I feel the issue lies right here.
Many AI projects have a pretty narrative.
AI Agent.
Verifiable AI.
On-chain Identity.
Data Ownership.
Verifiable Computation.
But these things share a common premise:
There must be ongoing usage.
No requests.
No reasoning.
No reasoning.
No fees.
No fees.
No value capture.
I’ve been struggling to make sense of this.
Right now, a lot of folks are debating whether OpenGradient can validate AI.
But I’m more concerned about another question:
Who’s footing the bill for validation?
The business model of traditional AI is pretty straightforward.
Users pay.
The platform profits.
It's a closed logic loop.
What OpenGradient wants to build is AI Infrastructure.
This involves on-chain identities, trusted reasoning, node networks, and incentive mechanisms.
The question is.
Will these extra costs eventually be passed on to the users?
If users can't feel the difference.
Why pay a higher price?
If users are willing to pay.
Is the demand scale enough to support the entire AI network long-term?
Many believe AI Agents are the future.
I agree.
But the future of Agents and the demand for Agents are two different things.
Demand is real transactions happening.
The future is just expectations.
OpenGradient Chat doesn't lack stories.
What it might be missing is another set of numbers:
How many real requests are there daily?
How many users are willing to pay for trusted reasoning?
And how much revenue ultimately flows back to the network and $OPG ?
I'm not denying OpenGradient.
On the contrary.
I just think validating AI is tough.
Validating demand might be even tougher.
And perhaps this is the most worth-watching aspect of the entire AI Economy.
#OPG $OPG @OpenGradient
It's not TEE.
It's not ZKML.
It's not the unlock of $OPG .
It's something simpler.
If the OpenGradient network suddenly stops running tomorrow, who would feel it the most?
The users?
The developers?
Or the node operators?
The more I dig into @OpenGradient , the more I feel the issue lies right here.
Many AI projects have a pretty narrative.
AI Agent.
Verifiable AI.
On-chain Identity.
Data Ownership.
Verifiable Computation.
But these things share a common premise:
There must be ongoing usage.
No requests.
No reasoning.
No reasoning.
No fees.
No fees.
No value capture.
I’ve been struggling to make sense of this.
Right now, a lot of folks are debating whether OpenGradient can validate AI.
But I’m more concerned about another question:
Who’s footing the bill for validation?
The business model of traditional AI is pretty straightforward.
Users pay.
The platform profits.
It's a closed logic loop.
What OpenGradient wants to build is AI Infrastructure.
This involves on-chain identities, trusted reasoning, node networks, and incentive mechanisms.
The question is.
Will these extra costs eventually be passed on to the users?
If users can't feel the difference.
Why pay a higher price?
If users are willing to pay.
Is the demand scale enough to support the entire AI network long-term?
Many believe AI Agents are the future.
I agree.
But the future of Agents and the demand for Agents are two different things.
Demand is real transactions happening.
The future is just expectations.
OpenGradient Chat doesn't lack stories.
What it might be missing is another set of numbers:
How many real requests are there daily?
How many users are willing to pay for trusted reasoning?
And how much revenue ultimately flows back to the network and $OPG ?
I'm not denying OpenGradient.
On the contrary.
I just think validating AI is tough.
Validating demand might be even tougher.
And perhaps this is the most worth-watching aspect of the entire AI Economy.
#OPG $OPG @OpenGradient