{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Epoch After Hours","title":"What does economics actually tell us about AGI? – Phil Trammell","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1213d6c8\"></iframe>","width":"100%","height":180,"duration":6550,"description":"Stanford economist Phil Trammell has been rigorously thinking about the intersection of economic theory and AI (incl. AGI) for over five years, long before the recent surge of interest in large language models.\nIn this episode of Epoch After Hours, Phil Trammell and Epoch AI researcher Anson Ho discuss what economic theory really has to say about the development and impacts of AGI: what current economic models get wrong, the odds of explosive economic growth, what “GDP” actually measures, and much more!\n-- Episode links --\nTranscript: https://epoch.ai/epoch-after-hours/economics-of-ai\n-- Timestamps --\n00:00 Problems with existing work on the economics of AI\n10:18 Declining returns to R&D\n18:28 What real GDP misses\n26:57 Task-based models & AI automation\n49:32 The limits of economic theory\n01:09:11 How to detect an economic singularity\n01:23:32 Increasing returns to scale\n-- Credits --\nDesign: Robert Sandler\nPodcast Production & Editing: Caroline Falkman Olsson & Anson Ho\n \nSpecial thanks to The Producer’s Loft for their support with recording and editing this episode — https://theproducersloft.com/","thumbnail_url":"https://img.transistorcdn.com/avJlCD61fZ_Bqy1m_pO1QOpnxBT10G4IDIYTLu54WBU/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82YjNi/MjIzYWYzZGQ3ODgx/ZWQ3ZWZiZmQ4YzFi/ZjZhMS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}