Comment by sparsesignal
9 hours ago
This assumes one-shot generation. I don't use it that way, and I don't think many people who find it useful do.
I use it as a colleague I'm drafting with. I'll ask how a sentence lands, tell it to make a paragraph more friendly or more dramatic, have it argue against a point I'm making. The piece comes together over many turns, and the information arriving in each turn is mine — it's not expanding one prompt, it's helping me converge on something.
The information-content framing also proves too much: a copy editor adds no information either. Neither does a translator, or a ghostwriter. What they add is form, and form is most of what makes writing good or bad.
Many people make the mistake to think LLMs are stochastic parrots, but they are more like pianos, you play the keys and they make music, if you don't bring no new spices to the soup no wonder it comes out bland.
Exactly. LLMs regress to the mean. If you want don't want average, you need to feed the context to push it away from the mean.