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.
