// writing / tag

llms

5 posts

• not even wrong

  2026-07-10

  One worker's AI writes the document, another worker's AI reads it. The company's knowledge becomes a pile of artifacts nobody holds, and it feels like productivity because producing is fast and evaluating is invisible. Nobody has measured the loop where it closes.

• eating its own tail

  2026-07-04

  The models write the web and train on the web. The tails die first, every escape route runs through fresh human data, and the pipeline supplying it is already machine-laced. Leave an LLM an open decision and watch what it picks. The average, every time.

• no one in particular

  2026-06-08

  AI prose converges on one register because the LLM has read everything and been nowhere. A voice is the opposite, the residue of one particular, forgetful life, and it is the part the average can never reach.

• a compression of a compression

  2026-05-31

  Why putting a thought into words flattens it, what that means for language models trained on the flattened version, and the gap that scale doesn't close.

• the brain drives the tool

  2026-05-22

  What AI actually is, what it's genuinely good for, and the part of the work no language model can do for you.