Mild Optimization

Applied to How to safely use an optimizer by Simon Fischer 5mo ago

Applied to [Aspiration-based designs] 2. Formal framework, basic algorithm by Simon Fischer 5mo ago

Applied to [Aspiration-based designs] 1. Informal introduction by Simon Fischer 5mo ago

Applied to AISC project: SatisfIA – AI that satisfies without overdoing it by Jobst Heitzig 10mo ago

Applied to Aspiration-based Q-Learning by Jobst Heitzig 11mo ago

Applied to AISC team report: Soft-optimization, Bayes and Goodhart by Simon Fischer 1y ago

Applied to Requirements for a STEM-capable AGI Value Learner (my Case for Less Doom) by RogerDearnaley 1y ago

Applied to Why don't quantilizers also cut off the upper end of the distribution? by Alex_Altair 1y ago

Applied to Thinking about maximization and corrigibility by James Payor 1y ago

Applied to "Corrigibility at some small length" by dath ilan by Christopher King 1y ago

Applied to The Optimizer's Curse and How to Beat It by Roger Dearnaley 2y ago

Applied to Breaking the Optimizer’s Curse, and Consequences for Existential Risks and Value Learning by Roger Dearnaley 2y ago

Applied to Validator models: A simple approach to detecting goodharting by beren 2y ago

Applied to Reward is not Necessary: How to Create a Compositional Self-Preserving Agent for Life-Long Learning by Roman Leventov 2y ago

Applied to Soft optimization makes the value target bigger by plex 2y ago

Applied to Steam by abramdemski 2y ago