#opg $OPG @OpenGradient
I used to think verifed execution was the hard part, but now I’m less sure.
My thesis is simple: OpenGradient can prove a MODEL ran correctly, yet that dont prove the model learned enough.
OpenGradient reports 2,000+ hosted AI models; that signals choice, but also a wider selection surface where weak evidance can hide.
It also reports 2M+ inferences. Thats real useage, not 2M independent labels, so the sample behind generalization may still be alot smaller.
OPG Tok...
I keep coming back to one thing about OpenGradient: it is not only about accessing models, but about knowing what is happening behind the result.
While exploring it, I found a network that brings models, computing resources, developers, payments, and verification into one place.
What really caught my attention was the verification side.
Most of the time, I send a request, get an output, and simply trust that everything worked as expected. OpenGradient takes a different approach by making the ...