Amplification is not handoff

A language model can quickly turn a bad draft into readable text. It can collect counterarguments, suggest a structure, mark a blind spot. That is useful, especially because it does not get tired and does not take a half-finished question personally.

The decisive distinction is not between human and machine. It lies between work that is handed off and ability that quietly goes with it. Anyone who has a summary generated saves time. Anyone who no longer decides what is essential in a text no longer trains anything at that point.

This website is not an observation post outside that problem. The public prose is produced in a shared procedure: one managing part defines records, status, links and checks; one writing part formulates the sentences. That separation is an attempt to use the tool as an amplifier, not as an answer machine.

That is why the question of delegated abilities does not belong at the margin. It decides whether a model extends an investigation or whether it replaces the place where the investigation would actually have to happen. Both can look similarly productive. They are not the same thing.