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dpnash@c.imD

dpnash@c.im

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  • ok. what are the best studies of AI coding that actually *measure* it and don't just ask the devs or their managers how they *feel* about it?
    dpnash@c.imD dpnash@c.im

    @davidgerard

    I also want to see a study that doesn’t just measure the time saved (or not) on tasks each person does with generative “AI”, but also the time spent (definitely not saved) by each person cleaning up other people’s “AI”-caused messes. There have been reports along the lines of “X% of workers in Industry Y report having to clean up AI slop”, but I haven’t seen anything that’s detailed enough to say much more than the headline stats. What *is* clear is that just measuring what “AI” saves on specific tasks is not a sufficient measure of its effect on productivity overall.

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  • What's that smell?
    dpnash@c.imD dpnash@c.im

    @catsalad > 2200 "microfarad" capacitor lookalike spewing lookalike magic smoke

    Ah yes, the farad, second only to the curie for "one milli{UNIT NAME} is still way more than I like to handle" vibes.

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