Dan Faggella joins the podcast to discuss whether humanity should eventually create AGI, how AI will change power dynamics between institutions, what drives AI progress, and which industries are implementing AI successfully.
Dan Faggella joins the podcast to discuss whether humanity should eventually create AGI, how AI will change power dynamics between institutions, what drives AI progress, and which industries are implementing AI successfully. Find out more about Dan at https://danfaggella.com Timestamps: 00:00 Value differences in AI 12:07 Should we eventually create AGI? 28:22 What is a worthy successor? 43:19 AI changing power dynamics 59:00 Open source AI 01:05:07 What drives AI progress? 01:16:36 What limits AI progress? 01:26:31 Which industries are using AI?
Basil Halperin discusses how financial markets and economic indicators, such as interest rates, can provide insights into AI development timelines and the potential economic impact of transformative AI.
Benjamin Todd discusses the evolution of reasoning models in AI, potential bottlenecks in compute and robotics, and offers advice on personal preparation for AGI, including skills, networks, and resilience, with projections through 2030.
Calum Chace discusses the potential for AI to transform employment, exploring universal income, fully-automated economies, AI-driven education, and the ethical challenges of attributing consciousness to machines.
