213
AI Software Development – What Does The Data Say? (codemanship.wordpress.com)
submitted 2 weeks ago* (last edited 2 weeks ago) by to c/programming@programming.dev
67 comments fedilink hide all child comments
 

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

you are viewing a single comment's thread
view the rest of the comments
[–] 5 points 2 weeks ago* (3 children)

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.

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 6 child comments
    •
  • [–] 3 points 2 weeks ago* (last edited 2 weeks ago)

    Yeah I was gonna add the weather part could be entirely explained by climate change and fascisms war on science, but forgot.

    I'd never heard of the 5G impact, so thanks for that. I consider it unlikely unless there were a significant change in 5G spectrum usage during the last year. 5G has covered most Australian major cities since 2021, and 5g coverage is essentially non-existent outside of populated areas (90% or more of Australia).

    Weather forecasting is actually one area where AI should far exceed what humans could ever possibly achieve without it. It is impossible for humans to process and adapt to the changing patterns across hundreds or thousands of variables interacting with each other in real time.

  • permalink
  • fedilink
  • source
  • parent
  • [–] 1 point 2 weeks ago (1 child)

    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?

  • permalink
  • fedilink
  • source
  • parent
  • hideshow 2 child comments
    •
  • [–] 1 point 2 weeks ago

    I wasn't implying that LLM's have damaged the science or statistics of forecasting. I was implying that they could have degraded the software at any point in the chain from data collection device firmware, to ingestion pipelines, to the app on your device; perhaps even impacting the meteorologists ability to perform quality work themselves.

    Except maybe in the US due to the DOGE debacle - but even then, why fuck with it?

    Changing ANY data source will always have some degree of impact on ALL statistical modeling that utilises it. Global meteorologists have depended on data captured from NASA/NOAA satellites in some capacity since the 1970's, by virtue of Americas lead in the space race and soft power in offering this data freely to everyone since the 1970's.

    DOGE/Fascist crimes specifically targeted government scientific institutions and their ability to operate.

    https://www.abc.net.au/news/2025-08-08/australian-weather-forecast-under-threat-from-us-cuts/105611736

  • permalink
  • fedilink
  • source
  • parent