Some thoughts on $TAO – @opentensor It's is a project I think many people are still looking at the wrong way. If I slow things down and look at the next 12–18 months, Openτensor feels less like a short-term trade and more like an ecosystem that rewards time spent understanding it. I started paying attention to $TAO when I realized most AI narratives in crypto stop at tokens, dashboards, or promises. Openτensor goes deeper into how intelligence is produced, evaluated, and rewarded. Here’s what makes it interesting to research: ⓵ AI models compete inside open subnets. ⓶ Performance is measured continuously, not by marketing. ⓷ TAO acts as the coordination layer for incentives and security. What I find notable is the structure: - builders focus on improving models, not fundraising decks. - capital flows toward useful output over time. - the system favors iteration and long-term contribution. This isn’t an easy ecosystem to understand quickly. And that’s probably why it doesn’t move with every headline. But if decentralized AI keeps developing as a real category, $TAO feels like one of those places where effort compounds quietly. Lock in, if this lane fits you. $TAO