this post was submitted on 21 Jul 2023
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My understanding is this claim is basically entirely false. The tests done by these researchers had some glaring errors that when corrected, show gpt-4 is getting slightly better at math, if anything. See this video that describes some of the issues: https://youtu.be/YSokS2ivf7U
TL;DR The researchers gave new GPT questions from two different pools. It's no surprise they got worse answers.
You shouldn't need to be a prompt engineer just to get answers to math questions that are not blatantly wrong. I believe the prompts are included in the paper so that you don't have to guess if they were badly formatted.
“Prompt Engenieer” is one of the funniest thinks that have happened in the recent history of the world.
“Learn to ask questions to a prediction algorithm and get rich! Is the work of the future! Software engineers and writers will lose their jobs, but asking questions is an evergreen field!”
Dude, if the algorithm only understand correctly formatted input is a parser. We have those.
ChatGPT, give me a ChatGPT prompt that will correctly answer the following question...
I've unironically done something like this
Did... Did it work?
I actually did that for some code, and it did work.
I asked chatgpt to write me a prompt that would make chatgpt write a recursive function for uploading files and all files in subdirectories to a server as "multipart forms", because when I asked it to modify my code originally it was just giving me a do-while loop, whereas I wanted a recursive function.
I kept changing my prompts to try to phrase "write a recursive function" differently, and instead the prompt that chatgpt gave me explicitly told it not to use non-recursive logic. Weirdly, forbidding it from using non-recursive logic actually made it finally give me the proper function.