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 IntelligenceComedyConsciousnessLongevityStressClear
Pick as many as you like: any of them matches within a group.
Comedian Ali Siddiq talks YouTube specials, how Texas prisons really work, personal responsibility, great teachers, and a long stretch of boxing talk.
Big Jay Oakerson and Ari Shaffir join Joe Rogan for a rowdy hang on cults, AI and the RESTRICT Act, Paul Mooney, Manson and Austin comedy.
Jim Breuer and Joe Rogan riff for three hours on 30 years of friendship, pandemic anger, war, trucks, gators and favorite movies.
Philosopher Nick Bostrom walks through the simulation argument step by step, then turns to the promise and risk of superintelligent AI.
Richard Dawkins on why evolution is wasteful yet brilliant, how memes spread, where morals come from, and why even a simulator needs explaining.
Comic Mike Vecchione and Joe Rogan on the slow craft of stand-up, lessons from wrestling, boxing fandom, cold plunges and writing jokes.
Filmmaker Alex Garland on truly alien aliens, Ava's smile in Ex Machina, Silicon Valley's veneer of virtue, and a universe without free will.
Howie Mandel tells Joe Rogan how a dare made him a comic, how he copes with OCD and depression, and why he embraces AI while Rogan worries.
Ric Flair tells Joe Rogan and Tony Hinchcliffe about North Korea with Ali, a plane crash, hour-long matches, anxiety and his cannabis second act.
John Wick director Chad Stahelski explains how the franchise was built, from stunts, dogs and gun work to editing, and what AI may mean for film.
MIT's Robert Langer on early rejection, starving tumors of blood, engineered tissue, patents, biotech startups, and why his students are his proudest work.
Jitendra Malik explains why vision is hard, why self-driving is far off, and why AI should learn the way children do.
OpenAI's Ilya Sutskever explains why deep learning keeps exceeding expectations, what GPT-2 shows, and how AGI should be built and governed.
Stephen Wolfram explains why simple rules produce endless complexity, and how that idea drives his hunt for the rule behind physics.
Joe Rogan and Duncan Trussell mark episode 2,000 with four hours on power, war, censorship, UFOs, karma and prayer.
Bioinformatics professor Dmitry Korkin explains how his lab modeled the new coronavirus's proteins and what that reveals for drugs and vaccines.
Car builder John Hennessey on the Venom F5, how a Viper deal launched his company, Top Gear and Jay Leno stories, and quitting Ritalin for cold plunges.
Ms. Pat tells Joe Rogan how she turned a brutal childhood into a hit sitcom, a tour and a family, with plenty of jokes along the way.
Joscha Bach tells Lex Fridman why the self is a story the brain tells itself, what consciousness is for, and why civilization may not last.
Comics Kim Congdon and Sara Weinshenk riff with Joe Rogan on podcasting, pandemic comedy, weed and hemp, Mike Tyson, UFOs, dreams, and a timeshare.
Turing Award winner David Patterson on why simple instruction sets won, open RISC-V, Moore's law slowing, machine learning chips, RAID, and teaching.
Andrew Dice Clay tells Joe Rogan how he became the first arena comic, survived the backlash and why acting was always the dream.
Ben Goertzel on where the term AGI came from, his OpenCog design, decentralized AI, the truth about Sophia the robot, and why death is bad.
Theo Von and Joe Rogan celebrate the Comedy Mothership and talk routines, SSRIs, vapes, exercise and drug companies.
Marcus Hutter explains AIXI, his mathematical model of perfect intelligence, and why compression, understanding and prediction are one.
Brian Kernighan recalls how UNIX and C took shape at Bell Labs, why AWK endures, and how he sees programming languages, AI, and computing today.
Turing Award winner Richard Karp explains P vs NP, NP-completeness, randomized algorithms, and why he doubts machines will match human intelligence.
Berkeley's Sergey Levine explains why robot minds lag robot bodies, how reinforcement learning works, and what it will take for machines to keep improving.
Lex Fridman maps eight long-term futures for Neuralink, from easing suffering and telepathy to saved memories and merging with AI.
Daphne Koller on using stem cells and machine learning to find new drugs, lessons from Coursera, and why AI must know when it is unsure.