{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Future of Life Institute Podcast","title":"How Close Are We to AGI? Inside Epoch's GATE Model (with Ege Erdil)","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/5461515d\"></iframe>","width":"100%","height":180,"duration":5674,"description":"On this episode, Ege Erdil from Epoch AI joins me to discuss their new GATE model of AI development, what evolution and brain efficiency tell us about AGI requirements, how AI might impact wages and labor markets, and what it takes to train models with long-term planning. Toward the end, we dig into Moravec's Paradox, which jobs are most at risk of automation, and what could change Ege's current AI timelines.  \n\nYou can learn more about Ege's work at https://epoch.ai  \n\nTimestamps:  00:00:00 – Preview and introduction \n\n00:02:59 – Compute scaling and automation - GATE model \n\n00:13:12 – Evolution, Brain Efficiency, and AGI Compute Requirements \n\n00:29:49 – Broad Automation vs. R&D-Focused AI Deployment \n\n00:47:19 – AI, Wages, and Labor Market Transitions \n\n00:59:54 – Training Agentic Models and Long-Term Planning Capabilities \n\n01:06:56 – Moravec's Paradox and Automation of Human Skills \n\n01:13:59 – Which Jobs Are Most Vulnerable to AI? \n\n01:33:00 – Timeline Extremes: What Could Change AI Forecasts?","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}