If you could both speed up inference time and reduce cost of GPT to 3.5 levels, there are incredible amount of possibilities that open up that could actually help solve a lot of problems have had with trying to interface software to the real world (robotics).
4-Turbo is actually pretty amazing but its still a tad pricey for some tasks. Altman made a comment on Lex's podcast about compute and I think its true, essentially the world does not understand how much compute will be desired as the price of these things go down.
But with only the chat interface, our social media manager would have to find every new article in every discrete vertical on our site, copy all the URLs to a spreadsheet, then prompt ChatGPT for every article, wait for it to respond, then copy that response into the spreadsheet...
Presumably this would be a major part of the big material improvement we'd need to see.
I installed LibreChat on a Linode droplet, put $10 on my OpenAI account for API usage, and cancelled my ChatGPT subscription. Since neither I, nor my friends and family use ChatGPT a ton, I let them sign up on my server and the API costs are under $1 so far.
I configured the yaml file to use my own OpenAI API key for all users.
[0] https://docs.librechat.ai/install/configuration/user_auth_sy...
edit: oh, the only other configuration change that I made was to set the default OpenAI model to gpt-4-0125-preview.