{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Future of Life Institute Podcast","title":"Why the AI Race Ends in Disaster (with Daniel Kokotajlo)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/eadf87df\"></iframe>","width":"100%","height":180,"duration":4227,"description":"On this episode, Daniel Kokotajlo joins me to discuss why artificial intelligence may surpass the transformative power of the Industrial Revolution, and just how much AI could accelerate AI research. We explore the implications of automated coding, the critical need for transparency in AI development, the prospect of AI-to-AI communication, and whether AI is an inherently risky technology. We end by discussing iterative forecasting and its role in anticipating AI's future trajectory.  \n\nYou can learn more about Daniel's work at: https://ai-2027.com and https://ai-futures.org  \n\nTimestamps:  \n\n00:00:00 Preview and intro \n\n00:00:50 Why AI will eclipse the Industrial Revolution  \n\n00:09:48 How much can AI speed up AI research?  \n\n00:16:13 Automated coding and diffusion \n\n00:27:37 Transparency in AI development  \n\n00:34:52 Deploying AI internally  \n\n00:40:24 Communication between AIs  \n\n00:49:23 Is AI inherently risky? \n\n00:59:54 Iterative forecasting","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}