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The point is human understanding. If the LLMs understand, but the humans don’t, where does that leave humanity? Building things we don’t understand is a sure pa

The point is human understanding. If the LLMs understand, but the humans don’t, where does that leave humanity? Building things we don’t understand is a sure path to facing consequences we can’t predict. Your comment also conveniently ignores the plagiarism aspect of it all. Who is coping here?

vatsachak 15d ago
Any serious mathematician would read the LLM output and rework their understanding. I read a bourgain paper a week in grad school and they're probably worse than an LLM generated paper. I still had to recreate the tricks in my own language. As far as I can tell the plagiarism accusations are also coping to the fact that the new models are super human at slam dunking research projects. Do we think that OpenAI is going to try and slam dunk more projects in the future at 15 million a pop? No lol
- Drupon 15d ago
  For your sake, based on your comments throughout this post, I hope you didn't pay for any stage of your education.
  - vatsachak 15d ago
    I have a paper in JEMS and have solved 20 year old conjectures. I also know that math academia is a catty game which is mostly driven by politics and ego
    - nerevarthelame 15d ago
      Perhaps these Fields Medalists are coping that OpenAI made them look stupid, as you suggested. And perhaps you're coping because of some personal grudge you have against academia.
      - vatsachak 15d ago
        Both are true I admit
greenowl 15d ago
We've developed plenty of things that "work" and we don't understand exactly how or why they work, nor do we fully understand the potential for short term or long term consequences. For example: pharmaceuticals.
charcircuit 15d ago
There are many points. >Building things we don’t understand is a sure path to facing consequences we can’t predict. We don't understand all of physics yet we were able to do plenty. Even before Newtonian physics we were still able to build things that last. The idea that humans have to understand everything and abstracting things will lead to ruin is not supported. Part of math is building abstractions so that you can be able to use other people's work without fully understanding it. No one person has a full understanding of mathematics.

vatsachak 15d ago

Any serious mathematician would read the LLM output and rework their understanding. I read a bourgain paper a week in grad school and they're probably worse than an LLM generated paper. I still had to recreate the tricks in my own language. As far as I can tell the plagiarism accusations are also coping to the fact that the new models are super human at slam dunking research projects. Do we think that OpenAI is going to try and slam dunk more projects in the future at 15 million a pop? No lol

Drupon 15d ago
For your sake, based on your comments throughout this post, I hope you didn't pay for any stage of your education.
- vatsachak 15d ago
  I have a paper in JEMS and have solved 20 year old conjectures. I also know that math academia is a catty game which is mostly driven by politics and ego
  - nerevarthelame 15d ago
    Perhaps these Fields Medalists are coping that OpenAI made them look stupid, as you suggested. And perhaps you're coping because of some personal grudge you have against academia.
    - vatsachak 15d ago
      Both are true I admit

greenowl 15d ago

We've developed plenty of things that "work" and we don't understand exactly how or why they work, nor do we fully understand the potential for short term or long term consequences. For example: pharmaceuticals.

charcircuit 15d ago

There are many points. >Building things we don’t understand is a sure path to facing consequences we can’t predict. We don't understand all of physics yet we were able to do plenty. Even before Newtonian physics we were still able to build things that last. The idea that humans have to understand everything and abstracting things will lead to ruin is not supported. Part of math is building abstractions so that you can be able to use other people's work without fully understanding it. No one person has a full understanding of mathematics.