I reasoned that, based on the error falsely attributing a Chiang story as based on different thermodynamics, any thinking chain for generating a list of Chiang stories predicated on different physics (carried out by an autoregressive model obviously, since no deductions of this kind can be made for the output of diffusion llms) that could make the given error would have suggested a story where thermodynamics was different and then guessed that Exhalation fits its own criteria.

On the basis of that, the priming simulates the same scenario, since there is no feasible way to recreate the author's method of writing an article with unknown essay-writing prompts and a set of unknown proportions of AI to human-generation for different elements of content and editing.