I’m currently pulling together a bunch of sources – that are mostly recent – on the topic of LLMs and their use in software development. Some are peer-reviewed studies. Some are i…

studies show a clear trend – output is up (more code, more commits, bigger diffs), but outcomes don’t reflect that trend. If anything, the average team is taking longer to ship worse software

  • ∃∀λ@programming.dev
    3·
    5 hours ago

    Weather forecasts have gone to dogshit in the last 2 years. Even same-day forecasts can shift on a dime unpredictably. It’s at the point where I check 3 apps. Until this year, I never had a time where I woke up to 0% chance of rain and sunny, then looked outside to see rain. Not a sun shower. A rainy day hour-long downpour.

    Supposing you’re right that weather forecasts have gone to dogshit (I’m skeptical because your evidence is anecdotal), there may be reasons beside AI for that.

    • blarghly@lemmy.worldEnglish
      1·
      4 hours ago

      I was gonna say - the bulk of weather forcasting is done by governments. Commercial weather channels/sites/apps draw from these predictions and give them a nice interface, and sometimes apply some proprietary prediction algorithm (eg, a lot of commercial weather services bump up chance of rain, because people are angrier when it rains when you said it wouldnt, versus doesnt rain when you said it would).

      But I wouldnt expect government forecasts to have changed due to AI tools. Except maybe in the US due to the DOGE debacle - but even then, why fuck with it?