I keep seeing Web3 teams bolt on “AI” the way they once bolted on analytics, and it feels cheap in a way that’s hard to name. Vanar’s critique lands for me: if the chain was built for people clicking buttons, it starts to wobble when the “user” is a model making nonstop decisions, needing memory, and leaving an audit trail. The hidden cost isn’t the model itself; it’s the plumbing around it—data that stays usable, logic you can verify, and guardrails that hold up under rules and real money. This is getting loud now because agent-style AI is moving from demos to daily workflows, and the weak seams show fast. I’m curious if the next wave is less labeling and more boring reliability work.

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