I’ve been stuck on a concept.
Not AI.
Not blockchain.
It’s “verifiability.”
Recently, while reading some discussions about @OpenGradient , I kept wondering:
If a result can be verified, does that automatically make it more valuable?
My first instinct is “yes.”
But if you think about it carefully, it doesn’t seem that simple.
For the past twenty-plus years, the internet has basically been solving the problem of information access.
AI is now solving the problem of content generation.
And now, more and more people are starting to talk about result verification.
The problem is right here.
Historically, what truly creates business value has never been “truthfulness” by itself.
It’s whether truthfulness can reduce transaction costs.
I’ve never been able to figure out this equation.
Let me give an example.
Why did credit cards become so widespread?
Not because payments were more “real.”
But because they reduce friction in transactions.
Why is logistics tracking important?
Not because the package is more “real.”
But because it lowers the cost of trust.
So I started rethinking.
If, in the future, all AI outputs can be verified,
what would actually change?
The models wouldn’t necessarily get smarter.
Agents wouldn’t automatically start making money.
Users also may not be willing to pay just because something is “verifiable.”
What could really change is the cost of building trust between humans and AI.
But then a new problem arises.
If the cost of trust goes down, does it create new value?
Or does it simply redistribute value that used to belong to platforms?
When many people talk about $OPG , they assume that “verifiability” naturally corresponds to higher value.
But the more I think about it, the more I feel that there’s a missing step in between.
Who would pay for this verification?
If there’s no real willingness to pay, will “verifiability” be just a technical advantage rather than a business advantage?
I don’t have an answer.
I’m just getting more and more curious.
In the future AI networks, what will be truly scarce—stronger models, or cheaper trust?
#OPG $OPG @OpenGradient
Not AI.
Not blockchain.
It’s “verifiability.”
Recently, while reading some discussions about @OpenGradient , I kept wondering:
If a result can be verified, does that automatically make it more valuable?
My first instinct is “yes.”
But if you think about it carefully, it doesn’t seem that simple.
For the past twenty-plus years, the internet has basically been solving the problem of information access.
AI is now solving the problem of content generation.
And now, more and more people are starting to talk about result verification.
The problem is right here.
Historically, what truly creates business value has never been “truthfulness” by itself.
It’s whether truthfulness can reduce transaction costs.
I’ve never been able to figure out this equation.
Let me give an example.
Why did credit cards become so widespread?
Not because payments were more “real.”
But because they reduce friction in transactions.
Why is logistics tracking important?
Not because the package is more “real.”
But because it lowers the cost of trust.
So I started rethinking.
If, in the future, all AI outputs can be verified,
what would actually change?
The models wouldn’t necessarily get smarter.
Agents wouldn’t automatically start making money.
Users also may not be willing to pay just because something is “verifiable.”
What could really change is the cost of building trust between humans and AI.
But then a new problem arises.
If the cost of trust goes down, does it create new value?
Or does it simply redistribute value that used to belong to platforms?
When many people talk about $OPG , they assume that “verifiability” naturally corresponds to higher value.
But the more I think about it, the more I feel that there’s a missing step in between.
Who would pay for this verification?
If there’s no real willingness to pay, will “verifiability” be just a technical advantage rather than a business advantage?
I don’t have an answer.
I’m just getting more and more curious.
In the future AI networks, what will be truly scarce—stronger models, or cheaper trust?
#OPG $OPG @OpenGradient