You can coax LLM's into reasoning. I recall someone on here posting a link to prompts that instruct the LLM to reason through a request, and this improves its o

You can coax LLM's into reasoning. I recall someone on here posting a link to prompts that instruct the LLM to reason through a request, and this improves its output significantly. I think what our models are missing is recursion on themselves. You and I can be self-referential, and we are capable of meta thought. We are also capable of "internal dialogue" where we speak and reason internally. The LLMs at present lack even state or memory. Arguably those aren't necessary for "reasoning" capabilities. I wonder how far off "stochastic parrot" is from what we do naturally. I have an image in my head of how we think using associated words/concepts/pictures for learning and I can't imagine it is too different from statistically associated concepts/words. --- This is sort of scatterbrained, and I apologize. I don't have enough time to write a more concise response.