Many users report a significant decline in GPT-5's performance, citing increased hallucinations, slower responses, and a frustrating user experience. Explore the community's shared concerns and potential reasons behind these issues.
Explore the primary reasons local LLMs haven't achieved widespread use, from hardware limitations and cost to evolving cloud privacy solutions and superior hosted model performance. Discover where local models still find their niche.
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.
A discussion investigates why some AIs struggle with literary metaphors like 'Elon is Snowball' (Animal Farm), while others succeed, exploring context, alignment, and the nature of AI understanding.