Most AI discussions revolve around the model.
Which one is faster? Which one scores higher on benchmarks? Which one has the latest features?
But after spending time reading about AI infrastructure, I think we're measuring the wrong thing.
Imagine two AI systems giving the exact same answer.
One simply returns a response.
The other can prove where the computation happened, that the execution wasn't tampered with, and that the result can be independently verified.
Today, those outputs may look identical.
A few years from now, they may be treated very differently.
That's why projects like @OpenGradient have been on my radar. They're exploring an idea that doesn't grab headlines as easily as new models do: making trust part of the infrastructure instead of leaving it to reputation.
The biggest winners in AI may not just be the companies that generate the smartest answers.
They could be the ones that make those answers accountable.
We're still in the early chapters of this story, but I think the infrastructure behind AI deserves just as much attention as the intelligence itself.
$OPG #OPG #opg
$BR