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Joined 3 years ago
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Cake day: June 13th, 2023

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  • I don’t see how the machine that generates code that must be assumed to be broken, and statements about said code that must be assumed to be wrong, until both have been manually verified, because the “hallucination” issue is inherent to the design of LLMs and cannot be solved, is supposed to make my life easier. Especially since a well known problem in computer science is that writing code is more fun than reading it.

    quoted for emphasis. you have more patience than I do in telling sycophants why their take is idiotic.








  • the only people getting a net use out of LLM garbage are sub-par programmers. and I say that partially as a self burn because I have consulted slop chatbots to get some keywords / usage examples for functions I didn’t know yet. Even though I never used any drop-in code, and verified the usage of all that I “learned” from such conversations, the output was incredibly shitty and had to many holes in it that most people wouldn’t even spot because “it just works”. Using slop bots in coding / vibe-coding is offloading your incompetence as work onto future programmers.



  • Machine learning isn’t going anywhere.

    As someone who despises the current slop hype with a passion, you’re correct on this. But only when you exclude LLMs. Because they are garbage with a net negative for mankind. Machine learning as a field however has very useful applications. Typically such that complement human assessment of data, e.g. re-viewing radiology images to flag potentially anomalous images for a second doctor to look at - not in place of the first doctor.