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
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
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.
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