80k After Hours

Toby Ord discusses the trade-offs of maximizing one metric and the risks of optimizing AI. We explore the concept of moral trade and the impact of virtue as a multiplier on projects. Also, learn about a collection of restored and unseen Earth photographs from the Apollo program.

AI expert Mustafa Suleyman discusses the difficulty of convincing skeptics about AI safety and the need for framing the conversation in terms of national security. He critiques the obsession with super-intelligence and highlights the risks of accelerating the development of dangerous capabilities. The podcast also explores policy lagging behind AI advances, the role of company actions, shaping the distribution of outcomes, risks of open sourcing AI models, the significance of conversations about AI ethics, and the need for legal mandates in AI labs.

Michael Webb discusses the impact of AI on job loss and economy, including examples of increased employment. The podcast also explores the time it took for previous game-changing technologies to have economy-wide effects. The slow adoption of technology and the challenges of regulating AI are also discussed.

Hannah Ritchie, expert on being optimistic about the environment, discusses factors affecting agricultural productivity in Sub-Saharan Africa, the concept of land productivity and its impact on crop yield, balancing environmental impacts and human needs, accelerating technological advancements in electric vehicles and renewable energy, and the need to radically change the food system to achieve environmental sustainability.

Jan Leike, an expert on OpenAI's efforts to ensure the safety of superintelligence, discusses various topics including the reasons for optimism about alignment in AI development, the impact of Chat GPT on AI research, the origins and success of reinforcement learning from human feedback, the importance of backup plans and addressing risks in superintelligence, and concerns and considerations for integrating large language models.

Holden Karnofsky discusses the importance of measuring and managing the risks associated with AI systems. The chapter explores the uncertainty surrounding the timeline of AI surpassing human capabilities. It delves into the debates about the level of intelligence required for AI to pose a significant risk. The chapter explores the uncertainty surrounding super intelligence and discusses the concerns of misaligned AI. It explores the tension between utilitarianism and other ethical considerations.

Journalist and author, Ezra Klein, discusses the process of AI regulation, strategies to slow down AI development, regulating AI development, and insights on parenting and self-care.

Markus Anderljung, an expert on regulating cutting-edge AI models, discusses the challenges of regulating AI models and the need for early addressing of concerns. They also explore the evaluation of AI models for controllability and dangerous capabilities, as well as the potential impact of regulatory approaches on AI adoption.

Lennart Heim, expert on compute governance, discusses challenges of enforcing regulations, the need for hardware security and AI compute safe havens, balancing offense and defense in AI, risks of advanced AI models hacking servers, and the importance of technical expertise in compute governance.

Rohin Shah, DeepMind researcher and advocate, explores safety and ethics in AI, potential risks of superintelligent beings, and the need for evaluation in AI progress. They discuss the challenges in AI development and the role of conceptual arguments.