The Perfect Summary Podcast
Every summary, narrated: the GIST of great conversations and books in minutes, so you can decide if you want the REST.
FiltersArtificial IntelligenceConsciousnessCreativityLongevityPhilosophySleepClear
Pick as many as you like: any of them matches within a group.
Michael Malice and Joe Rogan on online hysteria, AI risks, New York's mayor, assisted dying, immigration, lifting and starting stand-up.
Simon Sinek on why posting pain online is not vulnerability, how to measure a good day, co-created boundaries, AI fear and inequality.
Dermatologist Dr. Shereene Idriss on the three-step routine, what to skip, actives, adult acne, sunscreen and why jowls are structural.
Neuroscientist Glen Jeffery on how red and infrared light support mitochondria, vision and blood sugar, and why he worries about LED lighting.
The creator of C++ explains its roots in Simula, the zero-overhead principle, concepts, the standards process and his doubts about fuzzy AI.
Watson lead David Ferrucci explains how the Jeopardy system worked and why real machine understanding needs shared human frameworks.
Michael Jai White and Joe Rogan trade gym stories, fight theory, film talk and lessons on discipline, humility and giving back.
Joe Rogan and Jim Breuer trade comedy origin stories, lessons from bombing and jealousy, travel tales, AI worries and ancient mysteries.
Mel Robbins on four small daily decisions (phone, mindset, food and bedtime scrolling) that she says shape your energy and mood.
Physicist Sean Carroll explains wave functions, entanglement and why he thinks the many-worlds view is the cleanest reading of quantum mechanics.
Michael Kearns explains how fairness and privacy can be built into algorithms, the trade-offs involved, and who should decide.
Elon Musk on testing consciousness, regulating AI, Neuralink's brain interface, Autopilot's progress and Carl Sagan's Pale Blue Dot.
Columbia's Martin Picard explains mitochondria as energy transformers and why stress, sleep, food and purpose shape energy and aging.
Jaspreet Singh on AI's threat to jobs, the limits of the 401k and home ownership, and his three phases of wealth.
Artist David Choe tells Andrew Huberman how shame fueled his art and addictions, and what a decade of recovery has taught him.
Priyanka Chopra Jonas on her pirate film, India's colonial past, ancient mysteries, Bollywood, parenting and AI.
MIT's Gilbert Strang explains the four subspaces, singular values, why linear algebra deserves more room, and how deep learning uses it.
Noam Chomsky on what language is, why human cognition has built-in limits, and why deep learning is engineering, not science.
Seth Godin tells Mel Robbins how to stop hiding: swap but for and, treat resistance as a compass, pick yourself and start small.
MIT's Dava Newman on the search for life on Mars, the return to the Moon, her skin-tight BioSuit and caring for spaceship Earth.
Ray Dalio on learning from failure, thoughtful disagreement, credit and money, a rule for trusting AI, and why happiness peaks late in life.
The Triggernometry hosts and Joe Rogan on a war nobody can predict, media framing, bots, AI robots and combat sports.
Michael Pollan on the unsolved mystery of consciousness, plant awareness, chatbots that crowd out our inner lives, and the gut-brain link.
Turing Award winner Judea Pearl explains why correlation is not enough and why machines need causal models and counterfactuals to be intelligent.
Theo Von and Joe Rogan riff on war, distrust, AI and comedy, plus Von's self-financed film Busboys with David Spade.
Alexa's head scientist on why dialogue is a top test of intelligence, how far-field speech was solved, and why reasoning is next.
Yellowstone's Luke Grimes on stage fright, leaving Los Angeles for Montana, songwriting, elk hunting and what jiu-jitsu teaches.
Daniel Kahneman on System 1 and 2, why deep learning lacks reasoning, the remembering self, and psychology's replication crisis.
Roboticist Ayanna Howard on why robots must adapt to people, how bias gets fixed, and why we trust machines more than we admit.
Terence Tao explains Navier-Stokes, primes and Collatz, how he attacks hard problems, and how Lean and AI are changing maths.