I've noticed traders get excited about AI every time a new model makes headlines but very few people look at what happens underneath.
I remember when most conversations were about who had the smartest model. Lately I’ve been paying more attention to the less visible side: how models are hosted how inference works and whether results can actually be verified.
That’s why @OpenGradient caught my attention. The interesting part isn’t chasing another AI headline but building infrastructure that could make open intelligence more reliable and scalable over time.
It felt a bit strange watching the market focus so much on AI capabilities while ignoring the trust layer behind them. Maybe I’m reading too much into it but these gaps usually become important later.
In crypto, attention often comes first but infrastructure decides what lasts. People notice applications before they notice the rails supporting them.
Not saying OpenGradient becomes the biggest AI narrative, but it does feel like the market is starting to ask better questions about what comes next.