It's from Mike Caulfield who I just love anyways, who has been so committed & eloquent a proponent of/towards a high-signal world for so long,

https://mikecaulfield.substack.com/p/a-300-word-prompt-that-... https://mikecaulfield.substack.com/p/introducing-jamesian-a-...

It was an interesting explanation, of why LLMs talk the way they do. Paratastic structures, that lack subordinate clauses, leaving the user to connect the ideas together themselves, presenting elements in independence, unconnected, but still adjacent. Admittedly I think the post's setup/exploration is good, but it's left as a reader exercise to see what actually Mike does in the prompts.

There's some great food for thought in this submission. But I think it risks presenting this idea that the compression artifacts are real lossy hallmarks: i don't think that's necessarily a limit of the weights. My guess is that many of today's hallmark AI compression artifacts are really decompression artifacts. That we haven't yet, like Mike has begun, to explore how to talk about language to steer our uncompression, our expansion of those weights, into the forms we could or should ask for.