this post was submitted on 21 Jul 2023
161 points (98.8% liked)
Technology
37976 readers
478 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
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.
Prompt engineer is the next soundcloud rapper or instagram model.