Connor Leahy joins the podcast to discuss the motivations of AGI corporations, how modern AI is "grown", the need for a science of intelligence, the effects of AI on work, the radical implications of superintelligence, open-source AI, and what you might be able to do about all of this.    Here's the document we discuss

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 an

Jason Crawford joins the podcast to discuss the history of progress, the future of economic growth, and the relationship between progress and risks from AI. You can read more about Jason's work at https://rootsofprogress.org Timestamps: 00:00 Eras of human progress 06:47 Flywheels of progress 17:56 Main causes of progr

Roman Yampolskiy joins the podcast to discuss various objections to AI safety, impossibility results for AI, and how much risk civilization should accept from emerging technologies. You can read more about Roman's work at http://cecs.louisville.edu/ry/ Timestamps: 00:00 Objections to AI safety 15:06 Will robots make AI

Maryanna Saenko joins the podcast to discuss how venture capital works, how to fund innovation, and what the fields of investing and philanthropy could learn from each other. You can read more about Maryanna's work at https://future.ventures Timestamps: 00:00 How does venture capital work? 09:01 Failure and success for

Connor Leahy joins the podcast to discuss the state of the AI. Which labs are in front? Which alignment solutions might work? How will the public react to more capable AI? You can read more about Connor's work at https://conjecture.dev Timestamps: 00:00 Landscape of AI research labs 10:13 Is AGI a useful term? 13:31 AI