My ChatGPT Experience So Far

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SUMMARY

The discussion centers on the user's experiences with ChatGPT, highlighting its strengths and weaknesses in handling complex mathematical queries and providing feedback on writing. The user notes that while ChatGPT can answer intricate questions, such as those involving 4D geometry and the Hopf fibration, it also produces incorrect or nonsensical responses at times. Despite these shortcomings, the user finds ChatGPT valuable for its immediate availability and unique perspectives, particularly in reviewing and summarizing texts. The conversation emphasizes the importance of human oversight when interpreting ChatGPT's outputs.

PREREQUISITES
  • Understanding of 4D geometry concepts
  • Familiarity with the Hopf fibration
  • Basic knowledge of language model capabilities and limitations
  • Experience in text summarization and editing techniques
NEXT STEPS
  • Explore advanced 4D geometry and its applications in mathematics
  • Research the Hopf fibration and its significance in topology
  • Learn about the limitations of language models like ChatGPT in generating accurate content
  • Investigate best practices for effective text summarization and editing using AI tools
USEFUL FOR

Researchers, mathematicians, writers, and anyone interested in leveraging AI tools for complex problem-solving and text analysis will benefit from this discussion.

Hornbein
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I've had ChatGPT answer questions correctly that most math PhDs wouldn't know. I've also had it fail on something most six-year-olds could do. And everything in between, a mixture of right and wrong. Nevertheless I find it very useful, even when it's wrong.

In his iconic 1905 special relativity paper the only credit offered is to Michele Besso, an engineer friend with a remarkably flakey mind. [Boston Red Sox pitcher Bill "Spaceman" Lee appears to have been the original flake.] Albert found their conversations most helpful. Besso said, "the eagle Einstein took the sparrow Besso under his wing and the sparrow flew a little higher." I feel sure that Besso's contribution was his unique perspective on the matter. That's how I have found ChatGPT for my geometry research. Though it is often wrong, it's free of charge, it responds immediately 24/7, and it sees things from a different angle that is stimulating and thus helpful.
 
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It's one thing to review the ChatGPT results on a subject you know. It's another if you do not know the truth already. It's the difference between "a different angle" versus the only angle you see.
 
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Hornbein said:
Nevertheless I find it very useful, even when it's wrong.

In his iconic 1905 special relativity paper the only credit offered is to Michele Besso, an engineer friend with a remarkably flakey mind. [Boston Red Sox pitcher Bill "Spaceman" Lee appears to have been the original flake.] Albert found their conversations most helpful. Besso said, "the eagle Einstein took the sparrow Besso under his wing and the sparrow flew a little higher." I feel sure that Besso's contribution was his unique perspective on the matter. That's how I have found ChatGPT for my geometry research.
That's a good example of how some creative/outside the box thought can be useful in small doses, in a sandbox, for an expert. In the wrong hands it's a Dunning-Kruger multiplier.
 
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Hornbein said:
I've had ChatGPT answer questions correctly that most math PhDs wouldn't know.
I am curious about this. Do you remember any of the questions you asked?
 
martinbn said:
I am curious about this. Do you remember any of the questions you asked?
Sure.
"If you have two random 2D planes in a 4D space, what is the probability that they intersect?"

It did very well with that one, supplying a proof of its answer. I didn't believe it at first. It was also very good at describing an obscure relation within the Hopf fibration.

"How would a duocylinder roll on a 3D plane with gravity?"

It said "it could theoretically roll in two perpendicular directions at the same time", which is nonsense (unless you look at it in a too-peculiar way).

"Draw a red square."

It insisted on drawing a cube.

It said that the rotational circles of a 4D sphere that one finds in the Hopf fibration are linked, a widely believed falsehood. In a 4D space 2D circles can never be linked.

In a number of questions it responded that it didn't know, which was a very good answer. At that point I would expect that no one else on Earth knew either. The way it phrases it is, it could be this or it could be that.
 
I live in Indonesia. Skype is shutting down May 7th, a problem because I use it to get verification texts from banks. I told my girlfriend who will have the same problem. She refused to believe it because ChatGPT said it was a rumor. I had to send her a screenshot from Skype itself announcing the shutdown. Then she sent me ChatGPT's advice on what to do, all of which was wrong. Arggh!
 
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I use ChatGPT a lot to review the texts I write and read. The obvious part is copy editing—finding grammatical errors and making formulations smoother.


But I also use it to summarize texts, both ones I get and ones I write. If it’s a text I receive, I want to see if it’s worth my time before reading the whole thing. Sometimes, if I’ve already read it, I let ChatGPT summarize it and then discuss my take on it with the model.


When I upload my own texts, I check whether ChatGPT picks up on the main points and the overall intention. If it does, I take that as a sign that my text is clear. I also ask for feedback on clarity, style, and word choice.


Sometimes, I run the same text and questions through different LLMs (Grok, DeepSeek, Le Chat, etc.). ChatGPT tends to be the most encouraging when discussing my own writing, which is nice—but after a while, it gets a bit much. When that happens, I either switch to another LLM or tell ChatGPT to tone it down.


As with the Skype example above, I’ve also seen that LLMs sometimes make stuff up. Once, after discussing a document with ChatGPT for a while, I asked for a summary of the original document. The summary included points that weren’t in the original text but had come up in our discussion about it. When I pointed this out, ChatGPT agreed and corrected it. I assume the issue was that the model integrated parts of the conversation into the summary.


For me, that’s not a big deal, but it’s a reminder not to take ChatGPT’s output at face value without a final check from a human perspective.
 
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Yes I also find Chat sucks up to you, telling you how delightful your stupidity is. I don't care for that but surely it adds greatly to its popularity.
 
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