The Sigmoids Won't Save You
Summary
An analysis arguing that the common claim of AI progress following a sigmoid is misleading. The piece uses epidemics, aviation, and solar deployment as examples, and emphasizes the need to understand underlying processes and apply Lindy’s Law when data is uncertain. It highlights a METR-based approach to AI capability forecasting and cautions against overreliance on simple trend extrapolation.