• Repple (she/her)@lemmy.world
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    38 minutes ago

    Every time I test and LLM solution and am pleased with how well it works, and I look at the code and it looks reasonable, it’s a lie. It may work, and even look okay, but unless the change was minuscule it’s always doing weird things when I look closely. By the time I’m done fixing the code I could have done it significantly faster myself.

    Edit: in case anyone is wondering I only ever use frontier models (the anthropic and openAI ones), I have unlimited access to them from work and mandates to use them.

  • tidderuuf@lemmy.world
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    3 hours ago

    The moment AI can take the dumbest, completely lacking detail, uninformed, uneducated, unmotivated idea from a (Project/Program/Moron) Manager and turn it into something worth value… I’ll know that my job is in danger.

    • MightEnlightenYou@lemmy.world
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      6 hours ago

      The article actually covered that. And that was growing over time too.

      It should be noted that the data cutoff was March 2026 and that significantly better models have been released since then. The study also only covered a 12 month window after AI adoption and that companies of these sizes generally have a lot of internal inertia for new tools