The point isn't that temp 0 should be used, the point is that anyone surprised that they get different results should realise that there is an element of randomness involved by default.
Even repeating the same question in a single chat can have GPT-4 vary on its output, though it will often settle on a particular output due to context informing the output (which is why adding context is so important for these models)
That's true, but those results are rarely the correct ones, at least for v1 llama models. In my experience each model has an optimal temperature at which it performs vastly better. I'm sure OpenAI have the best config they know set up for ChatGPT but let people generate trash through the API if they want to waste their credits on it.
Not in my experience, in fact I find that when I need precise, realistic, and reliable results temp 0 is needed. For example, here is a bunch of names, gather the names of specific plastics under headings matching their common acronym - if I don't use temp 0 I might get nonsense out. Temp 0? reliably correct.
