Observed arrival · 2026-10-28
Productive Error makes AI failure part of the science
A research project examines how errors in AI models can reveal useful knowledge, beginning with weather and climate science.
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- Scientists and engineers working with AI weather or climate models
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- The worked example distinguishes the site’s explanatory animation from model output and cites the papers behind its account.
Field notes
The worked case follows FourCastNet from forecasts that become unstable beyond ten days to a diagnosis involving flat-map math near the poles. The site says a spherical-math rebuild remained stable for a year of simulated weather, while clarifying that its animation is an illustration, not model output. It also places the question in current forecasting practice, citing ECMWF’s February 2025 move to operational AI forecasts alongside its traditional model.
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