I said yesterday that I'd share an example of LLM arguing/pipelining.

This is a simple demo of a 3-step pipeline answer->formulate questions based on answer->improve answer based on questions. It basically uses the same technique as "reasoning" models: by generating a lot of additional context, the forward text prediction gets influenced.