I’m watching another wave of AI trading narratives form around $NEWT , and I’ve seen this before. The story always begins with efficiency, but it usually ends with the same questions nobody wanted to ask in the beginning. I focus on where things break, because that is where the real value or failure eventually appears. It is rarely the models that collapse first. It is the verification, the incentives, the uneven distribution, and the quiet assumptions buried beneath the launch. Markets have a way of exposing shortcuts long after attention moves elsewhere. That is why I cannot treat automation as progress on its own. Faster decisions mean very little if nobody can explain why they happened or who benefits when they go wrong. Maybe $NEWT is trying to solve something deeper than execution speed, or maybe it is another layer built on foundations that remain unstable. I keep returning to the same thought that has followed every cycle I have traded through: useful infrastructure usually looks unimpressive before it earns trust. For now, I am still watching the places where pressure builds, because that is where every confident narrative eventually meets reality.@NewtonProtocol #newt $NEWT