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 IntelligenceComedyConsciousnessHabitsPhilosophyClear
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.
Matt McCusker and Joe Rogan on comedy craft, bombing, his social work degree, therapy, diet experiments, UFO lore and news overload.
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.
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.
Divorce lawyer James Sexton on why marriages erode through small disconnections and the small, free habits that keep love alive.
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.
Steve-O tells Joe Rogan about a clipped joke, years of repairing his image, Jackass knockouts, near-death accounts and his animal sanctuary.
Jaspreet Singh on AI's threat to jobs, the limits of the 401k and home ownership, and his three phases of wealth.
Psychologist Rachel Goldman tells Mel Robbins how a pause, regular meals and kinder thoughts can ease emotional eating and body shame.
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.
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.
Whitney Cummings argues fear of robots is a luxury, and talks codependency, neurochemistry, social media and love.
Mel Robbins explains her one-day plan for clearing overdue tasks: a brain dump, then blocks for calls, errands, money, email and rescheduling.
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.
James Clear on making habits easy to start, showing up on bad days, identity-based habits, and shaping your environment.
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.
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.