Sentence completion does not give it justice, when I can ask a LLM to refactor my repo and come back half an hour later to see the deed done.

Thats the thing, when you use an Ask/answer mechanism, you are just writing a "novel" where User: asks and personal coding assistant: answers. But all the text goes into the autocomplete function and the "toaster" outputs the most probable text according to the function.

Its useful, it's amazing, but as the original text says, thinking of it as "some intelligence with reasoning " makes us use the wrong mental models for it.