The Perfect Summary Podcast

Skylar Grey tells Joe Rogan how she went from child performer to broke in L.A. to writing Love the Way You Lie, and why she now lives on a farm.

Daniel Pink shares what 26,000 regrets from 134 countries reveal: four core types, and a three-step way to learn from them.

David Epstein explains why too many options stall us, and shares his rules for satisficing, subtracting, monotasking and working inside limits.

Physical therapist Jeff Cavaliere on glute, rotator cuff, neck and foot work that prevents pain, plus cardio, nutrition and realistic training splits.

Tom Segura and Joe Rogan roam from Netflix's Bad Thoughts and Texas hog hunting to Uday Hussein, AI, flood myths, cars and fixed fights.

Actor Joel Kinnaman on beating stage fright and panic attacks through preparation, Hollywood's ups and downs, and becoming more reliable at home.

Sylvester Stallone tells Jay Shetty how an unwanted childhood and decades of rejection led to Rocky, and what he learned once he stopped fighting.

Jay Shetty offers four mantras, each with a story, for days when you need hope, confidence, openness to opportunity, or a return to the present.

DHH on why Ruby is beautiful, coding with AI without losing skill, small teams, leaving the cloud, fighting Apple, fatherhood and racing.

David Bach explains paying yourself first, automating savings, fixing 401(k) mistakes, clearing card debt and preparing for loss.

Johnny Knoxville on how Jackass began, the stunts that nearly killed him, the concussion that broke his mood, and taking over Fear Factor.

Matt Damon and Ben Affleck talk to Joe Rogan about The Rip, how streaming is reshaping movies, paying crews fairly, AI, forgiveness and greatness.

Lindsey Vonn on analyzing her crashes, depression on the road, grieving retirement, and why people-pleasing was her hardest challenge.

Author Pamela McCorduck recalls AI's founders, its roots in ancient myth, why she rejects the AI winter story, and what drew her to the field.

Jeremy Howard on fast.ai's mission, transfer learning, training fast on one GPU, programming languages, bootstrapped startups and learning.

Lockheed Martin's CTO on the moon and Mars, trusting autonomous systems, Skunk Works, missile defense and the ethics of AI in defense.

Kickboxing pioneers Benny Urquidez and Blinky Rodriguez recall no-rules fights, the Jet Center, and forgiving the man who killed Blinky's son.

Poet and novelist Ocean Vuong on turning shame into fuel, reclaiming language, and why a meaningful life is found where you already are.

Lewis Howes shares five daily statements on worthiness, identity, trust, courage and openness, with clips from Doty, Curtis, Pritchett and Byrne.

Bret Contreras explains how often to lift, how to keep progressing without injury, how to grow glutes and how to bring up lagging muscles.

Brendon Burchard and Lewis Howes argue that willpower plateaus and the people around you drive real leaps, then share a proximity audit.

Dr. Amy Shah explains 30/30/3: 30 grams of protein at your first meal, 30 grams of fiber a day and three probiotic foods daily.

iRobot's Colin Angle on why Roomba worked, cheap cameras over lasers, privacy in the home, and robots as partners rather than automatons.

Dr. David Fajgenbaum explains how approved drugs can treat other diseases, and how one saved his own life after five near-fatal relapses.

Neuroscientist Poppy Crum explains how technology reshapes the brain, how to use AI to learn instead of offloading, and what digital twins can do.

Retired Navy SEAL DJ Shipley shares his daily routine, fitness standards, combat losses, near-fatal injuries and how ibogaine treatment changed him.

Spotify's Daniel Ek tells David Senra why happiness trails impact, how trust and self-knowledge shape a company, and why he manages energy, not time.

Andrew Doyle tells Joe Rogan why he thinks woke is fading, how Britain polices speech, and why distrust is no substitute for evidence.

Keras creator François Chollet on why intelligence won't explode, what deep learning can't do, and the real risks of recommendation algorithms.

Stanford ear surgeon Konstantina Stankovic explains how hearing works, what damages it, how to protect it, and why hearing loss matters for the brain.