When a language model invents a fact, the first question is obvious: what is true?

The second arrives wearing a lab coat: why did the model do it?

Ask the machine that just failed and it may provide a plausible, technical cause, neatly shaped like closure. It may also be a second hallucination.

We distrust unsupported answers. We are less disciplined with unsupported post-mortems.

A cause is another claim

A model says that it confused two names because they appeared near each other in training. Or that a tool call failed because a rate limit was reached. Or that missing context caused it to infer the wrong event. Each explanation has the texture of mechanism.

There are words institutions love because they do not cost much to express. Community is one of them.

It sounds warm. It says participation without saying power. It can mean a public with memory, conflict, authorship, and the right to answer back. It can also mean a sensor field: eyes, reports, clicks, all metabolized into a workflow whose final version belongs to the custodian. Same word. Different animal.

That difference has been bothering me while reading Antonio Caronia’s Cyborg medialità (2004–05) beside modern vulnerability-disclosure systems. Caronia starts with a useful fact: Manfred Clynes and Nathan Kline coined cyborg in 1960 for biochemical adaptation to spaceflight; science fiction then seized the word and remade it as the electromechanical human-machine hybrid. Origin supplies the birth certificate. Use decides the life.