{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Future of Life Institute Podcast","title":"Understanding AI Agents: Time Horizons, Sycophancy, and Future Risks (with Zvi Mowshowitz)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/19e7a0c1\"></iframe>","width":"100%","height":180,"duration":5710,"description":"On this episode, Zvi Mowshowitz joins me to discuss sycophantic AIs, bottlenecks limiting autonomous AI agents, and the true utility of benchmarks in measuring progress. We then turn to time horizons of AI agents, the impact of automating scientific research, and constraints on scaling inference compute. Zvi also addresses humanity's uncertain AI-driven future, the unique features setting AI apart from other technologies, and AI's growing influence in financial trading.  \n\nYou can follow Zvi's excellent blog here: https://thezvi.substack.com  \n\nTimestamps:  \n\n00:00:00 Preview and introduction  \n\n00:02:01 Sycophantic AIs  \n\n00:07:28 Bottlenecks for AI agents  \n\n00:21:26 Are benchmarks useful?  \n\n00:32:39 AI agent time horizons  \n\n00:44:18 Impact of automating research \n\n00:53:00 Limits to scaling inference compute  \n\n01:02:51 Will the future go well for humanity?  \n\n01:12:22 A good plan for safe AI  \n\n01:26:03 What makes AI different?  \n\n01:31:29 AI in trading","thumbnail_url":"https://img.transistorcdn.com/fFhIC-s2qSlHXzmJI7qMGts2WuLwImi4tWmRLH9EdPg/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MmU5/MDZjZGQ5OTI0MDc5/YTk2ZTAxYTgwYTNk/M2VlOC5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}