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

    • WhatAmLemmy@lemmy.world
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      16 hours ago

      It’s obvious if you actually use software beyond the average literacy of a talking chimp. I use hundreds of apps across iphone, mac, and linux os’s. Literally none of them have noticeably increased in quality, stability, or feature-set beyond their average between 1-5 years ago.

      Mac and iphone appear to have more bugs and shittier quality control than at any other point in the last decade.

      Quality software is getting harder and harder to find thanks to all the slop-abandonware being promoted by slop-content and slop-SEO on slop-enshittified search engines.

      I notice far more idiocracy-grade errors in digital content, cx, business processes, product listings, etc than ever before.

      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.

      Auto-generated subtitles are great for content that was never going to receive human attention, but they’re clearly being used to replace humans. At least once a week I notice a major contextual error that completely alters the perception of the line/scene, and there’s no way to submit corrections.

      Art, culture, and knowledge are being actively corrupted, bastardized, and destroyed.

      The future simultaneously sucks while being dumb as all fuck. Complete clown show run by the idiot criminals, rapists, pedophiles, scammers, and thieves.

      • ∃∀λ@programming.dev
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        11 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.

        • WhatAmLemmy@lemmy.world
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          3 hours 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.

        • blarghly@lemmy.world
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          11 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?

          • WhatAmLemmy@lemmy.world
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            2 hours 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

      • Feyd@programming.dev
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        14 hours ago

        Yes it blows my mind everyone can’t see all the historically perfectly fine software starting to crumble to dust

        • The_Decryptor@aussie.zone
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          5 hours ago

          The big one for me was rsync, maintainer started vibecoding it and the first release with those changes had a huge amount of regressions.

          Yet it keeps getting held up as an example of “using AI tools properly”.