Reasoning

Explore the core reasons for skepticism surrounding Large Language Models, moving beyond simplistic explanations to address technical limitations, ethical concerns, and the gap between hype and practical reality.

Users are observing AI models like ChatGPT and Gemini displaying 'thoughts' in non-English languages. This discussion explores why this happens, linking it to multilingual training, internal token efficiency, and research findings that suppressing it can even reduce performance.

Developers discuss why AIs are often poor at debugging their own code, debating whether it's a deliberate design or a core limitation of current LLM technology.