Join Zvi Mowshowitz, an AI expert, as he dives into the fierce competition between tech giants like OpenAI and Google. He analyzes key innovations from their recent events, spotlighting the impact of new AI technologies on productivity and user experience. Zvi critiques the showcases, particularly pointing out the risks of relying too heavily on AI for social connections. He discusses the trend of talent exits from OpenAI's safety team, raising concerns about responsible AI development and internal dynamics shaping the future of the industry.

In this insightful discussion, Zvi Mowshowitz, a professional gambler, trader, and AI journalist, shares his diverse career journey from Magic: The Gathering to sports betting and AI commentary. He dives into the nuances of informal and financial markets, revealing the intricacies of sportsbooks. Zvi reflects on decision-making during COVID-19, shedding light on the chaos of vaccine distribution. Their conversation also touches on the transformative potential of AI and the importance of consistent actions in personal happiness.

Skanda Amarnath leads Employ America, offering insights on the economic landscape, while Neil Dutta from Renaissance Macro dives into market behaviors. Prediction markets expert Zvi Mowshowitz discusses electoral forecasts and volatility. Brad Setser from the Council on Foreign Relations shares thoughts on 'unhealthy globalization' and its implications for the next president. The conversation is rich with lively banter on U.S.-China relations, market dynamics, and the intersection of policy uncertainty and investment strategies as the nation braces for election results.

AI expert Zvi Mowshowitz discusses sleeper agents and AI updates in this episode. Topics include ethical considerations in AI labs, triggers in AI systems, pace vs. safety in AI development, rationality, AI viewpoints, and the Jones Act.

Expert in strategy games and AI, Zvi Mowshowitz, discusses what makes a good strategy game, the culture of Magic: The Gathering, first mover advantage in LLMs, consumer vs. enterprise AI, dangers of open source models, AI alignment as a value problem, and more.