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The path

Build 14 · Open

What one AI campus pays for its power, and how much of its cost that is

Price a year of power for a 100 MW datacenter in PJM: the energy bill from a real day-ahead price series, the capacity bill from the latest Base Residual Auction clearing price, then set power against the GPU cost read from one neocloud filing.

Open
State
Off route
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0
Notes

Done when

A state a stranger could check

A model a stranger can rerun: every input sourced to a primary document with its date, the annual energy and capacity charges shown separately in $ and $/MWh, power as a share of the campus’s annual cost beside the filing’s GPU depreciation, and what a 10% move in each input does to that share.

Why it is harder — The first build whose subject is a market rather than a machine. The numbers come from auctions, tariffs and contracts, not a spec sheet, and the cheap input (power) turns out to be the one that decides whether the campus exists.

What it reads

Just enough to unblock the next step

What it ships

  • BuildThe campus power model, rerunnable from its sources
  • NotebookWhat an AI campus pays for power, and why the small line decides the build
  • BottleEnergy, capacity and tariff charges, spaced

Teach it back

If it cannot be explained plainly, it was not learned
  1. 1Explain itExplain what you built to a friend who has never seen it. Plain words, no jargon, five sentences at most.
  2. 2Predicted vs realWhat you expected to happen, what actually happened, and why the two differ.
  3. 3Where it breaksThe question about it you still cannot answer, and the point where your explanation stops working.
  4. 4KeepThe one number, rule or picture worth keeping. It becomes a bottle and gets re-tested.

Notes

From the Learning LogThe notebook →

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How a note lands here

A note is a Learning Log entry with the tag study-campus-power-bill. It is written in Connor's words, filed as a draft, and appears here once it is published from the admin queue. One note can carry several build tags.