{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Future of Life Institute Podcast","title":"Tamay Besiroglu on AI in 2030: Scaling, Automation, and AI Agents","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/633a5b87\"></iframe>","width":"100%","height":180,"duration":5430,"description":"Tamay Besiroglu joins the podcast to discuss scaling, AI capabilities in 2030, breakthroughs in AI agents and planning, automating work, the uncertainties of investing in AI, and scaling laws for inference-time compute. Here's the report we discuss in the episode:  \n\nhttps://epochai.org/blog/can-ai-scaling-continue-through-2030  \n\nTimestamps: \n\n00:00 How important is scaling?  \n\n08:03 How capable will AIs be in 2030?  \n\n18:33 AI agents, reasoning, and planning \n\n23:39 Automating coding and mathematics  \n\n31:26 Uncertainty about investing in AI \n\n40:34 Gap between investment and returns  \n\n45:30 Compute, software and data \n\n51:54 Inference-time compute \n\n01:08:49 Returns to software R&D  \n\n01:19:22 Limits to expanding compute","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}