Most people have never heard of TEEs or zkML. They probably never will. That does not mean those technologies will not quietly shape how much they can trust the AI tools they use every day.
The gap between understanding infrastructure and depending on it is one of the oldest patterns in technology. People used the internet for years without understanding TCP/IP. They used banks without understanding reserve requirements. Infrastructure works best when it disappears into the background.
That is partly why @OpenGradient we is worth paying attention to even if the technical details feel distant. The network is building verification into AI inference itself — meaning the computation behind an AI response can be checked, not just accepted. The Model Hub already supports more than 2,000 live models and has processed over 2 million inferences. $OPG moves through that system as the settlement layer for verified activity.
I learned in crypto that the infrastructure nobody talks about is usually the infrastructure that ends up mattering most.
What I still do not know is whether verification becomes something users actively seek out or something they only appreciate after a high-stakes AI failure forces the question.
Invisible infrastructure has a habit of becoming essential before anyone noticed it was there.
#OPG
$SYN
$UB