| They learned already at the beginning. Its called training. Its the same thing we humans do, just a lot faster and focused on the content we give it. 'think' what is thinking? Recalling what you learned? Wiki says: "Their most paradigmatic forms are judging, reasoning, concept formation, problem solving, and deliberation. But other mental processes, like considering an idea, memory, or imagination, are also often included" Talk to an LLM, it will reflect these concepts very well. 'reason': even people don't reason. I had plenty of discussions with people who do not act logical. And there have been plenty of good examples of LLMs leanring to reason. Look at Grok2 and just wait for GPT 5. You put the achievement of LLM down as its nothing despite the fact that it could mean a lot more. How big is the chance that we are also just probaiblity engines? We as humans are more individual than a LLM and we do have more mechanism in our brains like time components, emotional interactions, social systems. And not even your mentioning of "Markov chain" is correct: A LLM Architecture is not how a markov chain works otherwise we wouldn't have the scaling issues we have with the LLMs... |