A few nights ago I was going through old AI projects I bookmarked years ago and found something funny.
Some of the ideas looked incredibly early at the time. AI oracles. Verifiable AI. AI infrastructure. Back then most people were still debating whether crypto even needed AI at all.
Tbh it reminded me how often we confuse being early with being right.
Crypto loves first movers. The assumption is simple: arrive first, build the network, keep the advantage.
Then I started looking at ORAI and OpenGradient.
What's interesting is that both are trying to solve a surprisingly similar problem. How do you make AI outputs usable in systems that can't simply trust them?
ORAI was talking about AI oracles years before most people cared. In many ways it helped define the category.
OpenGradient seems to be approaching the problem from a different angle. Less focused on connecting AI to blockchains and more focused on making AI itself verifiable.
That difference sounds subtle.
I'm not sure it is.
Because technology markets rarely reward the first idea. They reward the first idea that reaches meaningful adoption.
Today OpenGradient has already processed millions of verifiable inferences and hundreds of thousands of zkML proofs. At some point the conversation stops being about who got there first and starts becoming about who is actually delivering usage.
Maybe that's the lesson.
Being early proves you saw the future.
Adoption proves the future arrived.
@OpenGradient $OPG #OPG
Some of the ideas looked incredibly early at the time. AI oracles. Verifiable AI. AI infrastructure. Back then most people were still debating whether crypto even needed AI at all.
Tbh it reminded me how often we confuse being early with being right.
Crypto loves first movers. The assumption is simple: arrive first, build the network, keep the advantage.
Then I started looking at ORAI and OpenGradient.
What's interesting is that both are trying to solve a surprisingly similar problem. How do you make AI outputs usable in systems that can't simply trust them?
ORAI was talking about AI oracles years before most people cared. In many ways it helped define the category.
OpenGradient seems to be approaching the problem from a different angle. Less focused on connecting AI to blockchains and more focused on making AI itself verifiable.
That difference sounds subtle.
I'm not sure it is.
Because technology markets rarely reward the first idea. They reward the first idea that reaches meaningful adoption.
Today OpenGradient has already processed millions of verifiable inferences and hundreds of thousands of zkML proofs. At some point the conversation stops being about who got there first and starts becoming about who is actually delivering usage.
Maybe that's the lesson.
Being early proves you saw the future.
Adoption proves the future arrived.
@OpenGradient $OPG #OPG