Reasoning models are mostly regular LLMs trained to output a "<thinking></thinking>" token delimiter before the answer that will be shown to the user, and that'

Reasoning models 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. Which suggests that there are - "iterative" models which - do not output "from beginning to end" which AFAIK is science-fiction.