Yeah, my take is it’s sort of up to the person using the LLM and maybe how they match to that LLM. That’s my hunch as to why we hear wildly different takes on these LLMs working for people. Gemini can be the most productive model for some while others find it entirely unworkable.
Not just personalities and preferences, but the purpose for which the AI is being used also affects the results. I primarily use AIs for complex troubleshooting along the lines of: "Here's a megabyte of logs, an IaC template, and a gibberish error code. What's the reason?" Right now, only Gemini Pro 2.5 has any chance of providing a useful output given those inputs, because its long-context attention is better than any other model's.
