cross-posted from: https://infosec.pub/post/47200357

One critic called the move “petulance beyond measure.”

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[–] 82 points 2 months ago (3 children)

Battle lines are being drawn between two camps of developers: so-called vibecoders, on the one side—those who wholeheartedly embrace handing over complex coding tasks to AI tools—and on the other, those of a more puritan persuasion, who prefer to keep AI out of the codebase.

What a terrible article. That's not what vibe coding means.

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  • [–] 39 points 2 months ago (1 child)

    Yeah, that’s really dishonest framing. The whole point of vibe coding is not reading the code but trusting in its correctness based on vibes. That’s fine for low-risk internal programs, but just a downright terrible strategy for anything else, even if you have an independent test suite. Those tests may pass, but the implementation itself will be an unreadable mess

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  • [–] 22 points 2 months ago (2 children)

    Guess I am a puritan for not wanting garbage that burns the planet in my everyday life I guess.

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  • [–] 1 point 2 months ago (1 child)

    How about the smaller open source models? Is the impact the same? I'm also wondering how much DeepSeek v4 changes this since the inference costs are several times lower than before. I'm sure there's still a lot of negative effects, but I'm wondering if the needle has moved at all.

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  • [–] 2 points 2 months ago (1 child)

    Until the datasets to train the models are curated and paid for, there won't be an ethical LLM.

    I haven't looked into smaller models, but I'd wager that training the models is still power intensive.

    And finally, how the LLM are used currently make them a net negative.

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