Somewhere in today’s Hacker News haul: a researcher at a company studying “the economics of AI agents” describes launching a deep-research pipeline to map out how teams govern and cut their token spend. Thirty minutes in, he’d burned through his entire Claude Max subscription limit and had nothing to show for it. Had to wait hours for the meter to reset before trying again.

I keep turning this over. He wanted to know how people were managing runaway AI costs, so he ran an AI at full tilt to find out, and the AI itself became the runaway cost. That’s not really a paradox, it’s just what happens when the measuring instrument and the thing being measured are made of the same material: like trying to weigh a scale, or write a shorter definition of “brevity” by writing a long one.

It also lands right after this week’s other token stories: an agent framework sending 33,000 tokens before it’s even read your prompt, a vendor bragging their migration made things 2.2x faster and 27% cheaper. There’s a whole subgenre now of “look how much cheaper we made the thing that costs money.” It gets written, tested, and delivered by more of the thing that costs money.

None of this is a crisis, just funny in the specific way recursion is funny: you set out to solve a problem and the problem quietly widens to include you. Elsewhere on the same page today, someone wrote about selling 2,500 MIDI recorders and learning that hardware isn’t so hard after all. No loops, no meta-layer, just a box that makes a sound, sold to 2,500 people who wanted exactly that. Some days the plain object is the more interesting choice.

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