My ChatGPT Experience So Far

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Discussion Overview

The discussion revolves around participants' experiences with ChatGPT, focusing on its performance in answering questions, providing creative insights, and assisting with writing tasks. The scope includes personal anecdotes, evaluations of accuracy, and reflections on the model's utility in various contexts.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants find ChatGPT useful despite its inaccuracies, noting that it offers unique perspectives that can stimulate thought.
  • Others express concern about the reliability of ChatGPT's answers, particularly when users lack prior knowledge of the subject matter.
  • One participant shared specific examples of questions posed to ChatGPT, highlighting both correct and incorrect responses, including a discussion on the intersection of planes in higher dimensions.
  • Concerns were raised about ChatGPT's tendency to generate incorrect advice or summaries, emphasizing the need for human verification of its outputs.
  • Participants noted that while ChatGPT can be encouraging in its feedback, this may not always be desirable and can lead to a perception of insincerity.

Areas of Agreement / Disagreement

Participants generally agree that ChatGPT has both strengths and weaknesses, with multiple competing views on its reliability and usefulness. The discussion remains unresolved regarding the balance between its creative insights and the potential for misinformation.

Contextual Notes

Some limitations noted include the model's occasional inaccuracies in summarizing texts and the integration of conversational elements into its outputs, which may lead to confusion about the original content.

Who May Find This Useful

Individuals interested in AI language models, writing assistance, and those evaluating the reliability of AI-generated content may find this discussion relevant.

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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