I was abused by my christian parents.

I would like to live long enough to see humanity mature out of superstition and free the world from human greed.

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Joined 1 month ago
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Cake day: July 9th, 2026

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  • “I put millions of lines of code in a blender and kept re-rolling the output until I got something that kind of does what I want it to” will always be less efficient and more error-prone than a competent dev or team building with specific intent.

    People who can’t tell the difference approve bloated code with myriad vulnerabilities. Often, AI output doesn’t actually do what it pretends to do.

    If you’ve worked in any IT project, you will remember the most common issues: unclear requirements, scope creep, silos or misaligned incentives.

    For AI projects, you can add to the list: “We’re not even sure this thing works the same way every time” and you’ve got a perfect storm for failure.

    https://towardsdatascience.com/why-ai-projects-fail/

    An annoying trend I’ve noticed in articles like this is that they still insist the AI is not to blame. Phrases like “devs love the technology,” fuck no I don’t. Or “95% of AI projects fail, but yours will totally succeed if you do it right”. It feels exactly like how the lottery exploits people’s hopes.

    The steps required to make AI function are too costly to make AI worthwhile in almost every case. It was a stupid scam that too many companies fell for.