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.
Key topics include:
- Steve Reeves’ 1947 full-body routine, including his rest-pause approach
- The difference between evidence-based and science-based approaches to interpreting training research
- Why AI often defaults to conventional answers when asked about training and hypertrophy
- How giving AI source material can dramatically change its answers
- Using AI to interrogate research, identify patterns in studies, test hypotheses, and accelerate learning
- The limitations of using AI to write bodybuilding programs from scratch
- How coaches and lifters can use AI without outsourcing their critical thinking
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What is Hypertrophy Past and Present?
A deep dive into the science of muscle growth. Hosted by Chris Beardsley and Jake Doleschal, this podcast explores hypertrophy training through the lens of pre-steroid era bodybuilding and modern muscle physiology.