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Joined 2 years ago
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Cake day: July 5th, 2024

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  • A mathematician in the 70s said, “hey what if this is how brains work?”

    If you really want to be pedantic, the modern concept of neural networks was invented decades prior.

    But in either case, ANN do follow the basic concept of how neurons work. That’s not even up for debate. Obviously biological neurons have way more going on, and there’s even evidence for “warm” quantum processing happening within each neuron in the microtubules. But the feed-forward signal mechanism is real, and ANNs are based on that concept.

    Except the Neural Net model doesn’t actually reproduce everything real, living neurons do.

    No idea what you’re saying here. But if I had to guess, you’re saying that “real brains, not artificial ones, create novel outputs”. And if that is what you meant, then congrats, you said nothing of value. The discussion was never about biological vs artificial neural network quality.





  • The quotes are because “AI” doesn’t exist. There are many programs and algorithms being used in a variety of way. But none of them are “intelligent”.

    And this is where you show your ignorance. You’re using the colloquial definition for intelligence and applying incorrectly.

    By definition, a worm has intelligence. The academic, or biological, definition of intelligence is the ability to make decisions based on a set of available information. It doesn’t mean that something is “smart”, which is how you’re using it.

    “Artificial Intelligence” is a specific definition we typically apply to an algorithm that’s been modelled after the real world structure and behaviour of neurons and how they process signals. We take large amounts of data to train it and it “learns” and “remembers” those specific things. Then when we ask it to process new data it can make an “intelligent” decision on what comes next. That’s how you use the word correctly.

    Your ignorance didn’t make you right.



  • it wouldn’t have worked on anything but Windows 95 and onwards

    I know what you mean. All I was saying is that the binary would execute on an x86 processor regardless of the OS. Now the OS knowing what to do with it is another matter.

    This is actually what Wine does, it’s a translation layer that intercepts the Win APIs and converts it to a Linux API and vice versa. The actual binary runs on the processor just the same.


  • CeeBee_Eh@lemmy.worldtoProgrammer Humor@programming.devI love it
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    27 days ago

    It sounds like the app you wrote is doing 99% of the work. And I’m guessing it was written in C, which means it’s an x86 binary and could theoretically run on any x86 system.

    Modern Windows actually has a lot of problems running older software. In some cases, the only way to get those applications working again is using Wine on Linux.



  • Writing the code itself is very similar to using an IDE: with very little config effort, you have stuff like autocomplete, syntax highlighting, LSP errors, function signature hints, ‘jump to definition’, git integration, etc

    I get that. What I’m referring to is the process of “getting used to” neovim. Every time I’ve tried it, I end up reverting back to an IDE because I’m faster there due to familiarity and comfort.

    With recent AI tools (a lot of which, at the end of the day, are CLI tools), the delta between neovim and a full IDE has shrunk further because (for better or worse, probably for worse) people are doing less of the actual coding.

    I wouldn’t be so sure. I’ve been using various LLM coding agents on my personal project as a way to not do the boilerplate stuff (since I have very little free time), and my biggest takeaway is that outside of smaller snippets I don’t want them touching anything else. I’ve had so many instances where they completely change up a struct (by removing members and adding completely new ones) for zero reason. Other times I give explicit instructions to not change a specific file or remove specific variables, and it just does it anyways.

    The real issue is that LLMs are incapable of considering the larger picture at a conceptual level, and frequently introduce new bugs.

    The one place I will say I have found LLMs the most useful is writing HTML/CSS/JS. I personally don’t like writing those and LLMs seem to be best at that.

    The few times I’ve had an agent refactor larger portions of code resulted in the code being barfed out in a way that took me more time to untangle and clean up, than if I just did the refactor myself.


  • Ok, seriously question. How does one go from using a full featured IDE like Jetbrains’ stuff to something like neovim? Every time I’ve tried I’ve lost patience. I do use vim itself all the time (it might even be multiple times each hour). But I can’t seem to bridge that gap to do full development in it.

    For context, my day job involves working on a fairly large C#/Angular codebase that extremely messy, poorly laid out, and in constant need of fixing.

    My side project is a somewhat small, but rapidly growing, rust application.







  • CeeBee_Eh@lemmy.worldtoGames@lemmy.worldHow Are You Guys Handling This?
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    2 months ago

    Not sure what to tell you, but a Mac is the last platform to go to for gaming. Apple has zero interest in gaming and have made the platform virtually hostile to gaming development.

    Steam regularly has sales (really good sales, like under $5) for fairly modern games (within the last 10 years).

    Wait for a sale on something like an AMD Beelink and use that.