Lately I’ve been seeing people talk nonstop about AI. Every day there’s a new model, a new tool, or some new feature that everyone starts discussing. But after reading and following different projects, I started thinking that maybe the biggest thing behind AI isn’t the model itself. It’s the data.
Without good data, AI can’t really improve in a meaningful way. You can build powerful systems, but if the information going into them is weak or limited, the results will eventually hit a wall. That’s one reason I decided to spend some time looking into @OpenLedger .
What caught my attention is that the discussion is not only about AI itself but also about building around the data side of things. A lot of people ignore infrastructure projects because they don’t create instant hype, but many times those projects become important later. I’ve seen that happen many times in crypto.
The idea of creating a system where participation and contribution matter sounds interesting to me. AI is growing very fast, and the demand for quality information will probably keep increasing as well. I think future discussions won’t only be about who has the smartest AI model but also about who creates better systems around it.
I’ll continue following $OPEN and watching how things develop because sometimes the quieter projects end up surprising everyone.
