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AI ML Post #5144 · source on Telegram

From Stack Overflow to ChatGPT: debugging tool generation gap in 2023

Description

The meme shows a stock photo of a younger woman helping an elderly woman with a walker through a park path. Top caption reads: “Programmers in 2023.” Text over the grandmother says, “Back in my time, we used forums like stackoverflow to debug.” Text over the younger helper responds, “Sure grandma, let’s get you to bed. chatGPT can help you.” Faces are blurred for anonymity, and the humor contrasts legacy developer habits (forum-based collective wisdom) with modern reliance on large-language-model assistants for troubleshooting code, illustrating the rapid tooling shift experienced by engineers

Comments

13
Anonymous ★ Top Pick We’ve evolved from copy-pasting code of dubious license from Stack Overflow to copy-pasting code of unknowable provenance from an LLM trained on that very snippet - undeniable progress
  1. Anonymous ★ Top Pick

    We’ve evolved from copy-pasting code of dubious license from Stack Overflow to copy-pasting code of unknowable provenance from an LLM trained on that very snippet - undeniable progress

  2. Anonymous

    Remember when we thought Stack Overflow would kill documentation? Now we're watching ChatGPT hallucinate solutions while Stack Overflow becomes the training data for the very AI that's replacing it. The real irony is senior devs still debugging the AI-generated code with... you guessed it, Stack Overflow

  3. Anonymous

    The irony is palpable: Stack Overflow spent years training developers to RTFM and mark questions as duplicates, only to have their entire knowledge base become the training data for the AI that's now replacing them. Turns out the real 'accepted answer' was teaching a language model to gaslight you into thinking your approach might work, instead of 17 people telling you why you're fundamentally wrong before closing your question

  4. Anonymous

    Stack Overflow: solutions with 10-year-old edge cases. ChatGPT: edge cases in every line

  5. Anonymous

    StackOverflow enforced “minimal reproducible example”; ChatGPT enforces “maximal context window” - we didn’t fix debugging, we just changed the billing metric

  6. Anonymous

    We replaced SO’s green checkmarks with sampling temperature - code reviews now list model, version, and seed alongside the diff

  7. Deleted Account 3y

    That's sad and not funny

  8. @s2504s 3y

    True story

  9. @Araalith 3y

    ChatGPT can help with comments or style but it can't do even a simple task without dozens of mistakes of all sorts. So, we have to wait a few more years.

    1. @ZgGPuo8dZef58K6hxxGVj3Z2 3y

      I don’t know it gave me pretty much the right answer every time unless I asked specifically about Win32 API then it likes o add Ptr or drop the Ex from the end of function names even tho it talks about those versions

      1. @Araalith 3y

        Sometimes. But sometimes it gives wrong answers and you have to ask again and again with the same result just to find out that chatGPT has no idea how to do it right. It's like a junior - full of enthusiasm and lack of experience. Stackoverflow has human reviews after all. It guarantees that the code works (or at least it was). I mean that ChatGPT is a different tool, not a replacement.

        1. @ZgGPuo8dZef58K6hxxGVj3Z2 3y

          Did you tried to make a new thread? If it gets some info that is not true it will believe its true for the duration of the thread

  10. @SamsonovAnton 3y

    Well, back in my time, we used FidoNet conferences and Usenet newsgroups, and even BBS message boards for programming-related questions. 👨‍🦳

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