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  • 6 Posts
  • 188 Comments
Joined 3 年前
Cake day: 2022年4月11日
  • FuckBigTech347@lemmygrad.mltoTechnology@lemmygrad.ml•Microshit has unleashed aGeNtiC AI on one of its public codebases
    5·
    26 天前

    I stand by what I said in that other thread the other day: I have yet to find LLMs be a useful tool. This whole thing is hilarious but at the same time I feel bad for the devs who have to deal with this crap.

    LLMs are hot garbage and my opinion will only change once I can describe a problem to it and it actually understands and provides in-depth guidance related to my problem without any bullshit or false/outdated information. I want an LLM that might ask me for more information on something if it thinks it needs it.

  • FuckBigTech347@lemmygrad.mltoComradeship // Freechat@lemmygrad.ml•Living in LLM 2030
    2·
    28 天前

    One time I asked DeepSeek for guidance on a more complex problem involving a linked list and I wanted to know how a simple implementation of that would look like in practice. The most high level I go is C and they claim it knows C, so I asked it to write in the C language. It literally started writing code like this:

    void important_function() {
    // important_function code goes here
}

void black_magic() {
    // Code that performs black magic goes here.
}

    I tried at least 2 more times after that and while it did actually write code this time, the code it wrote made no sense whatsoever. For example one time it started writing literal C# in the middle of a C function for some reason. Another time it wrongly assumed that I’m asking for C++ (despite me explicitly stating otherwise) and the C++ it produced was horrifying and didn’t even work. Yet another time it acted like the average redditor and hyper focused on a very specific part of my prompt and then only responded to that while ignoring my actual request.

    I tried to “massage” it a lot in hopes of getting some useful information out of it but in the end I found that some random people’s Git repos and Stackexchange questions were way more helpful to my problem. All of my experiences with LLMs have been like this thus far and I’ve been messing with them for 1+ years now. People claim they’re very useful for writing repetitive or boiler plate code but I am never in a position where I’d want or need that. Maybe my use cases are just too niche lol.

  • FuckBigTech347@lemmygrad.mltoComradeship // Freechat@lemmygrad.ml•Living in LLM 2030
    3·
    29 天前

    A few days ago I was configuring some software where it’s difficult to find good documentation about so I decided to ask DeepSeek. I described what I’m trying to do and asked if it could give me an example setup so I can get a better understanding. All it did was confidently make shit up and told me things that I already knew. And that’s only the most recent example. I have yet to find LLMs be a useful tool.