Cheerleaders miss that LLMs do not reason but are probabilistic prediction engines. A system which trawls existing data, even assuming that is correct, cannot create anything new. Once existing data sources are devoured, scaling produces diminishing returns. Rather than fully generalisable intelligence, generative models are regurgitation engines struggling with [[truth]], [[hallucination]]s and [[reasoning]].<ref>https://www.zerohedge.com/ai/satyajit-das-ai-artificial-intelligence-or-absolute-insanity</ref> | Cheerleaders miss that LLMs do not reason but are probabilistic prediction engines. A system which trawls existing data, even assuming that is correct, cannot create anything new. Once existing data sources are devoured, scaling produces diminishing returns. Rather than fully generalisable intelligence, generative models are regurgitation engines struggling with [[truth]], [[hallucination]]s and [[reasoning]].<ref>https://www.zerohedge.com/ai/satyajit-das-ai-artificial-intelligence-or-absolute-insanity</ref> |