> it is non-trivial to predict which searches GPT will be good for Since pricing is roughly proportional to response length (and maybe prompt length?), it seem

> it is non-trivial to predict which searches GPT will be good for Since pricing is roughly proportional to response length (and maybe prompt length?), it seems like ChatGPT could use itself to determine if the search is a good fit or not. Give it a prompt like "I want to know if you are likely to generate more immediately useful and actionable results than my web search. The query I am searching is <query>. Should I run you on this query?" I tried running that on some sample queries to see its output, and compiled its responses in this table (note the last one is incorrect in my opinion): | Query | Yes or No | |------------------------------------|-----------| | "starbucks near me" | No | | "twitter" | No | | "python requests get json" | Yes | | "peach and mango cocktail recipe" | Yes | | "hn" | No | | "image of versaille" | Yes | Btw, incredibly, ChatGPT actually made that table for me when I said "Please compile all the queries I just asked you about into an ascii table, where the first column is my query, and the second column is your Yes or No answer." The table it printed was correct but formatted as an HTML table, so I asked it to put it in a code block and I got almost exactly what I pasted above (just had to remove two extraneous spaces that made the lines not line up)