API call responsiveness to the GPT-4 model varies hugely throughout the day. The #1 datapoint in measured responsiveness is slowdown associated with lunch-time use as noon sweeps around the globe.
Thank you for the response, I should have been clearer. I meant performance as an LLM. Essentially, I am concerned that they are quietly nerfing the tool. The Chat interface is now very verbose and constantly warning me about "we should always do this and that" which is bloody exasperating when I'm just trying to get things done.
I made up an example here to illustrate, but it's just very annoying because sometimes it puts at the beginning, slowing down my interaction, and it now refuses to obey my prompts to leave caveats out.
yeah, its annoying and you have to foot the bill for it.
looking at your sample and using character count as a rough proxy for tokens, (465/(1581-465))*100 means they added ~42% token count cost to your response explicitly adding caveats which you dont want. fun!
