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Episodes
Eliciting Latent KnowledgeJune 17, 2024
Deep Double DescentJune 17, 2024
Chinchilla’s Wild ImplicationsJune 17, 2024
Intro to Brain-Like-AGI SafetyJune 17, 2024
Gradient Hacking: Definitions and ExamplesJune 17, 2024
An Investigation of Model-Free PlanningJune 17, 2024
Discovering Latent Knowledge in Language Models Without SupervisionJune 17, 2024
Toy Models of SuperpositionJune 17, 2024
Imitative Generalisation (AKA ‘Learning the Prior’)June 17, 2024
ABS: Scanning Neural Networks for Back-Doors by Artificial Brain StimulationJune 17, 2024
Least-To-Most Prompting Enables Complex Reasoning in Large Language ModelsJune 17, 2024
Two-Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension QuestionsJune 17, 2024
Low-Stakes AlignmentJune 17, 2024
Empirical Findings Generalize Surprisingly FarJune 17, 2024
Compute Trends Across Three Eras of Machine LearningJune 13, 2024
Worst-Case Thinking in AI AlignmentMay 29, 2024
How to Get FeedbackMay 11, 2024
Public by Default: How We Manage Information Visibility at Get on BoardMay 11, 2024
Writing, BrieflyMay 11, 2024
Being the (Pareto) Best in the WorldMay 03, 2024
How to Succeed as an Early-Stage Researcher: The “Lean Startup” ApproachApril 23, 2024
Become a Person who Actually Does ThingsApril 17, 2024
Planning a High-Impact Career: A Summary of Everything You Need to Know in 7 PointsApril 16, 2024
Working in AI AlignmentApril 14, 2024
Computing Power and the Governance of AIApril 07, 2024