[michael_nielsen]

There goes 50+% of my use.

"LLMs are no good for [use case X]" often means "I aren't very good at using LLMs for [use case X]".

With many powerful tools - violins, say, or carpentry tools - we know that it takes a long time and a lot of learning to achieve competent performance, much less virtuoso performance. Someone who spent ten hours learning the violin and concluded "Violins sound terrible" wouldn't have diagnosed a problem with violins, but with their own mastery. I certainly think current LLMs have some big intrinsic weaknesses, but also that what they are is quite subtle.

[llm_trw]

I think it strongly depends on the model.

I found that og gpt4 is better for brainstorming than gpt4 turbo, which in tern is better than gtp4o.

If you're just using the web based portal you don't get much of a choice which model to use or it's temperature.