Robin Hanson joins the podcast to discuss AI forecasting methods and metrics. Timestamps: 00:00 Introduction 00:49 Robin's experience working with AI 06:04 Robin's views on AI development 10:41 Should we care about metrics for AI progress? 16:56 Is it useful to track AI progress? 22:02 When should we begin worrying about AI safety? 29:16 The history of AI development 39:52 AI progress that deviates from current trends 43:34 Is this AI boom different than past booms? 48:26 Different metrics for predicting AI
Maya Ackerman discusses human and machine creativity, exploring its definition, how AI alignment impacts it, and the role of hallucination. The conversation also covers strategies for human-AI collaboration.
Adam Gleave, CEO of FAR.AI, discusses post-AGI scenarios, risks of gradual disempowerment, defense-in-depth safety strategies, scalable oversight for AI deception, and the challenges of interpretability, as well as FAR.AI's integrated research and policy work.
Beatrice Erkers discusses the AI pathways project, focusing on approaches to maintain human oversight and control over AI, including tool AI and decentralized development, and examines trade-offs and strategies for safer AI futures.
