I've noticed something interesting in crypto.
Whenever a new AI project gets attention, the conversation quickly turns into a race to find who has the most compute, the biggest models, or the strongest infrastructure. The assumption is simple: whoever can host more intelligence wins.
That's probably the first conclusion most people reach when looking at @OpenGradient as well.
But the longer I think about it, the less convinced I am that hosting intelligence is the hardest problem.
Imagine a future where AI agents are everywhere. Research agents, trading agents, customer support agents, autonomous software. Generating information becomes cheap and constant. Outputs flood every corner of the internet.
Now ask a different question.
How do you know an output actually came from the model, agent, or system that claims to have produced it?
That sounds like a small detail today, but it might become an important economic layer tomorrow. If intelligence becomes abundant, trust doesn't automatically become abundant with it.
That's why @OpenGradient makes me think less about AI capacity and more about AI credibility. Not because I know that's where the market is heading, but because it's a question that feels strangely underexplored.
Maybe the future bottleneck isn't creating intelligence.
Maybe it's proving where intelligence came from.
#opg $OPG
@OpenGradient
Whenever a new AI project gets attention, the conversation quickly turns into a race to find who has the most compute, the biggest models, or the strongest infrastructure. The assumption is simple: whoever can host more intelligence wins.
That's probably the first conclusion most people reach when looking at @OpenGradient as well.
But the longer I think about it, the less convinced I am that hosting intelligence is the hardest problem.
Imagine a future where AI agents are everywhere. Research agents, trading agents, customer support agents, autonomous software. Generating information becomes cheap and constant. Outputs flood every corner of the internet.
Now ask a different question.
How do you know an output actually came from the model, agent, or system that claims to have produced it?
That sounds like a small detail today, but it might become an important economic layer tomorrow. If intelligence becomes abundant, trust doesn't automatically become abundant with it.
That's why @OpenGradient makes me think less about AI capacity and more about AI credibility. Not because I know that's where the market is heading, but because it's a question that feels strangely underexplored.
Maybe the future bottleneck isn't creating intelligence.
Maybe it's proving where intelligence came from.
#opg $OPG
@OpenGradient