Most people seem to form and quickly calcify their opinions about LLM's based on a really small sample of initial uses. In my experience, all of the leading ed

Most people seem to form and quickly calcify their opinions about LLM's based on a really small sample of initial uses. In my experience, all of the leading edge models fall over in the same ways that people are mentioning here as particularly frustrating with Gemini(s), it is just a matter of probability, I tend to sample multiple models and multiple formulations when I have a question, and sometimes you hit the "jackpot" where the particular sequence of input tokens have pushed one model to exactly the right zone to start printing the tokens I want.