Darren McKee joins the podcast to discuss how AI might be difficult to control, which goals and traits AI systems will develop, and whether there's a unified solution to AI alignment.
Darren McKee joins the podcast to discuss how AI might be difficult to control, which goals and traits AI systems will develop, and whether there's a unified solution to AI alignment. Timestamps: 00:00 Uncontrollable superintelligence 16:41 AI goals and the "virus analogy" 28:36 Speed of AI cognition 39:25 Narrow AI and autonomy 52:23 Reliability of current and future AI 1:02:33 Planning for multiple AI scenarios 1:18:57 Will AIs seek self-preservation? 1:27:57 Is there a unified solution to AI alignment? 1:30:26 Concrete AI safety proposals
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.
