ChatGPT Examples, Good and Bad

  • Thread starter Thread starter anorlunda
  • Start date Start date
  • Tags Tags
    chatgpt
Click For Summary
SUMMARY

This discussion focuses on the performance of ChatGPT in solving mathematical problems and understanding complex concepts. Users report mixed results, with ChatGPT accurately solving simple arithmetic but struggling with more complex calculations and logical reasoning. For instance, while it correctly identified the sum of 32,498,377 and 32,049,480, it incorrectly computed their product. The consensus is that ChatGPT relies primarily on word prediction rather than a robust logical framework, which limits its effectiveness in scientific and engineering contexts compared to more text-based fields like law.

PREREQUISITES
  • Understanding of basic arithmetic operations and their properties
  • Familiarity with the limitations of AI language models
  • Knowledge of logical reasoning and mathematical problem-solving
  • Awareness of the differences between elastic and inelastic collisions
NEXT STEPS
  • Research the limitations of AI in mathematical reasoning and problem-solving
  • Explore the principles of elastic collisions in physics
  • Learn about the architecture and training methodologies of AI models like ChatGPT
  • Investigate the applications of AI in legal contexts, particularly in passing bar exams
USEFUL FOR

Researchers, educators, and developers interested in the capabilities and limitations of AI language models, particularly in mathematical and scientific applications.

  • #451
Hornbein said:
I asked ChatGPT to prove something and it gave me a load of BS. I didn't know enough to tell, I had to have some mathematicians look at it. This soured me on such things. But I suppose these people are using a better version.

Being unable to understand a proof I gave ChatGPT another chance : please explain this to me. Its mien is today quite different from its sycophancy of yesteryear. It's tone was more "you chump, it's frustrating that your feeble brain is unable to grasp my perfectly clear explanation", this spiced up with lots of bold and italic emphasis to drive its points home. It was entirely true that I was looking at it from a direction that would never lead to a decent proof but that's the perspective that interested me, dammit. I didn't particularly like its tone but it was far better than being served with the BS of yore. It was also better than asking at MathStack. Not only is the response much quicker, my experience at MathStack is that after completely failing to understand what I wanted they would delete my questions as too poorly framed to engage with.

In sum, ChatGPT has made great progress but room for improvement.
 
Computer science news on Phys.org
  • #452
It's tone is selectable. I've gotten asked more than once what tone Id like. Perhaps theres a setting you've got turned on.
 
  • #453
Like the Monty Python "argument clinic"?
 
  • Like
Likes   Reactions: DaveC426913
  • #454
Hornbein said:
mien
TIL a new word.

Six decades on the planet and it still surprises me when that happens.
 
  • #455
Greetings folks. So, while this AI is self-hosted and open source-ish, it works great for many tasks that ChatGPT would do. Recommended movies/TV related to Doctor Who. Worked well, as I have watched Steins;Gate and Serial Experiments Lain back in 2025 and 2024 and know that these fit the description I have prompted it to find. So, yeah, AI is great for recommending stuff and many other tasks, not good at math or physics.
1768689371788.webp
 

Similar threads

  • · Replies 212 ·
8
Replies
212
Views
16K
  • · Replies 3 ·
Replies
3
Views
3K
  • · Replies 21 ·
Replies
21
Views
3K
  • · Replies 66 ·
3
Replies
66
Views
7K
Replies
10
Views
5K
Replies
14
Views
884
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
3K