Two posts ago I argued the coordinating layer of an agent system should stay deliberately dumb , and last time I laid out the contract at the seam that makes "dumb" mean something you can hold yourself to. Both made the same promise and neither paid it. Post one said the submodels "should go deep in their own native regime." Post two said "all the intelligence lives below the seam." Fine. What does deep mean? The lazy answer is: bigger. More parameters pointed at a narrower problem. That answer quietly gives the whole argument back to the monolith — if depth is just scale, the monolith wins by having more of it, and my two posts collapse into an efficiency argument about compute budgets. Depth isn't scale. Depth is owning the representation. The habit nobody questions Here is how audio has been fed to models for most of the last decade, and how a great deal of it still is. Take the waveform. Cut it into windows. Run a Short-Time Fourier Transform over...