The goal of this post is to describe how my views evolved over time, and reflect on this process. It might prompt you to make your own (list of) threat models. Which, in turn, might help to sharpen your focus, if you do safety-related projects. June 2025: Hodgepodge By this...
%TLDR. We discuss the setting that Gradient Routing (GR) paper uses to model Scalable Oversight (SO). The first part suggests an improved naive baseline using early stopping which performs on-par with GR. In the second part, we compare GR’s setting to SO and Weak-to-Strong generalization (W2SG), discuss how it might...
Wikipedia (as of January 2026): > Machine unlearning is a branch of machine learning focused on removing specific undesired element, such as private data, wrong or manipulated training data, outdated information, copyrighted material, harmful content, dangerous abilities, or misinformation, without needing to rebuild models from the ground up. A blog...