Arsalan_分析师(@Trader-Nexus)'s insights

Today, one thing kept me thinking for quite a while. We

Arsalan_分析师 · 2026-06-23T05:51:34.000Z

Today, one thing kept me thinking for quite a while. We always talk about the intelligence of Large Language Models. But we rarely discuss trust. The more I researched AI infrastructure, the more I realized that the future isn’t just about smarter models. It's about verifiable models. While reading the documentation for @OpenGradient , I came across an interesting concept. Machine Learning inference and verification are handled separately. At first, I thought this was just a part of the architecture. Then I understood that the real value lies hidden here. AI can provide answers. But did that answer really come from the same model? Was the output not modified? Did the computation actually perform as claimed? These questions might seem simple today. Tomorrow, they will be the most important. When AI agents manage payments, make business decisions, and run automated systems, just having intelligence won’t be enough. Proof will also be necessary. The internet required security to scale. AI may need verification to scale. That’s why I believe the next phase of the AI industry may revolve around trusted answers more than better answers. And perhaps that’s the layer many people are currently underestimating. Maybe the next breakthrough in AI won’t be in intelligence, but in trust. The question is? Which model is more valuable: the one that knows the most... Or the one that can prove its every computation? #opg #OPG $OPG