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 IntelligenceComedyCreativityPhilosophySleepStressClear
Pick as many as you like: any of them matches within a group.
Mel Robbins shares five small steps, from a brain dump to claiming one win, for getting back on track within a day.
Peter Norvig on rewriting the standard AI textbook, fairness trade-offs, trust in machines, online learning, Lisp, Python and early Google search.
Leonard Susskind on intuition in physics, what quantum computers are for, what string theory achieved and why time has a direction.
Stanford lecturer Matt Abrahams shares drills and frameworks for clear, confident speaking, from stage fright to small talk.
Screenwriter Roger Avary talks film craft and favorite movies with Joe Rogan, then spars with him over sweeping conspiracy claims.
Gary Marcus argues deep learning lacks common sense and abstraction, and that trustworthy AI needs a hybrid with symbolic reasoning.
Physicist Michio Kaku speculates on alien contact, string theory, brain-linked internet, immortality and settling Mars.
Garry Kasparov on what drove him at the board, what Deep Blue really proved, how humans should work with AI, and life as a Putin critic.
Evan Hafer and Joe Rogan talk archery, coffee, courage, Rogan's path from taekwondo to comedy, and their worries about AI.
Donnell Rawlings and Joe Rogan trade comedy war stories and argue over why comics should ignore online haters and focus on the craft.
Stanford's Bill Burnett and Dave Evans share tools for designing a meaningful life: three possible futures, small prototypes and flow.
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.
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.
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.
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.
Artist David Choe tells Andrew Huberman how shame fueled his art and addictions, and what a decade of recovery has taught him.
Psychologist Rachel Goldman tells Mel Robbins how a pause, regular meals and kinder thoughts can ease emotional eating and body shame.
Neuroscientist Wendy Suzuki explains what anxiety is for and shares tools, from joy conditioning to exercise, for putting it to use.
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.