You're talking about "thinking" models which are mostly regular LLMs trained to output a "<thinking></thinking>" token delimiter before the answer that will be shown to the user, and that's a clever use of the Chain of Thought idea. All of which I'm completely familiar with.
GP was saying
> That would be true of non-iterative models that just emit an output from beginning to end.
GP was saying
> That would be true of non-iterative models that just emit an output from beginning to end.
Which suggests that there are
- "iterative" models
which
- do not output "from beginning to end"
which AFAIK is science-fiction.