{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Hypertrophy Past and Present","title":"071 How to use AI to learn about hypertrophy","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c93d79af\"></iframe>","width":"100%","height":180,"duration":5523,"description":"In this episode of Hypertrophy Past & Present, Jake and Chris start with a 1947 Steve Reeves workout before accidentally going down an AI rabbit hole. They discuss the difference between “evidence-based” and “science-based” thinking, and how AI can be used to understand research and design training without simply accepting the first (usually incorrect) answer it gives you.\nKey topics include:\nSteve Reeves’ 1947 full-body routine, including his rest-pause approach\nThe difference between evidence-based and science-based approaches to interpreting training research\nWhy AI often defaults to conventional answers when asked about training and hypertrophy\nHow giving AI source material can dramatically change its answers\nUsing AI to interrogate research, identify patterns in studies, test hypotheses, and accelerate learning\nThe limitations of using AI to write bodybuilding programs from scratch\nHow coaches and lifters can use AI without outsourcing their critical thinking\nWant to train like a Silver-Era bodybuilder? Join our Hypertrophy Past and Present Training group on TrainHeroic.com","thumbnail_url":"https://img.transistorcdn.com/CJhjWFKhcK0h4C11sAyS9S4btLA7VgbHkoTw7LPZHTk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNDVi/MjE1YzM4ZmVlYzZj/OWEwMTA1Y2QwOGY2/ZDU0ZS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}