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943
Joined
3 yr. ago

  • There's plenty of busy work that requires some level of "thinking" but it doesn't add anything to whoever is doing it for the 50th time. You're the one sounding like an idiot for ignoring this.

  • Right, like I mentioned, it's a scale problem and how people feel about generated code. Abandonware have always been the majority of repos, because people don't have time or interest to maintain most things they create. We just have more things being created now (whether they're any good/usable or not).

  • Disagree. Most projects are never "done". Whether that is defined by the user or by the users, there are nearly always things to work on. Maintainers just lose interest or don't bother. This is as old as open source and it has nothing to do with LLMs, it's only aggravated by it.

  • Hardly an issue with generated code. You could say the same about projects before LLMs were widely used for code generation: "most projects are abandoned within months of release". The difference now is the scale and how some people feel about it.

  • du* - applogies hehe

  • don't you guys pay your rent and buy food with github stars?

  • zero cal pizzas, finally

  • Reminder that "a coin toss" is only bad odds for problems with binary and equally likely outcomes. And that's rarely the case for anything that an LLM is used for. A 50% chance of saving an hour of work a couple times a day are pretty good odds. If I have a problem which a candidate solution is easy to verify, it's often more effective to let an LLM investigate it for some time before I do so, and only jump in if it fails.

    There have been several little fixes I've done in minutes with an agent that would take me at least an hour to manually investigate, write a solution, test, and refactor. So yes, there is something to it, but you need to know how to use it. Keep arguing in a thread after noticing hallucinations is a clear sign the author doesn't know how to use an LLM.

  • This. If you're at a point that you're arguing with an LLM, you've already lost. Just start a new thread with a different approach, don't make an article about your inability to use an LLM.

  • being annoying online

    hmm

  • That assumes Samsung, SK Hynix, and Micron won't have competition in the next few years, but that's already not true with the Chinese CXMT and YMTC. And the more they drive the prices up, the highest the reward for a new competitor to get established. They have a few good years (for them) charging these prices, but it won't last.

  • well, you're free to die on that hill I guess

    Taking what you give it into context it's kind of the whole selling point of LLMs. If you get garbage output maybe you're using it wrong. In the end it's just a tool, if you can't use it, that's on you.

  • have you seen some human written code before? Someone who knows what they're doing with AI can definitely generate better code

  • If I got an AI-written codebase hard to navigate, I'd bill the AI usage it took to clean it up and, on top of it, the hours I have to put to actually do the job. We can definitely use AI to write good code, but it takes the kind of professional criteria that vibe coding lacks in order to do that.

  • did I stutter?

  • I don't really care about owning for its own sake, but I know services only get worse for customers over time, so that makes me prefer owning some things.

    "Piracy is almost always a service problem and not a pricing problem"

  • I think he got his years ago, he's a massive dick now

  • that must be really hard