Nick Allardice joins the podcast to discuss how GiveDirectly uses AI to target cash transfers and predict natural disasters. Learn more about Nick's work here: https://www.nickallardice.com
Timestamps:
00:00 What is GiveDirectly?
15:04 AI for targeting cash transfers
29:39 AI for predicting natural disasters
46:04 How scalable is GiveDirectly's AI approach?
58:10 Decentralized vs. centralized data collection
Luke Drago discusses the potential societal and economic impacts of AI dominance, including changes in workplace structures, privacy concerns, and the importance of taking career risks during technological transitions.
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.