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 IntelligenceComedyFocus And ProductivitySleepClear
Pick as many as you like: any of them matches within a group.
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.
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.
Neuroscientist David Berson tours the brain from retina to cortex: color vision, the body clock, balance, motion sickness and plasticity.
Andrew Huberman explains how the lymphatic system clears fluid and waste, and how movement, breathing, side sleeping and cardio keep it flowing.
Greg Fitzsimmons and Joe Rogan riff on censorship, the moon landing, AI's dark side, an Alaskan prank and what makes a comedy scene thrive.
Sport psychologist Michael Gervais on the danger line, self-talk you can back up, optimism, and why performance should serve purpose.
Time researcher Laura Vanderkam shares nine tested rules, from a set bedtime to Friday planning, for finding free time in a busy week.
Bert Kreischer and Joe Rogan on viral breaks in comedy, tuning out critics, a blood clot scare, awards, competitiveness and Bert's Netflix series.
MIT's Regina Barzilay on how cancer changed her research, why medical AI is held back by data and adoption, and machine learning for drugs.
Steven Pressfield explains Resistance, the self-sabotage that guards your most important work, and the professional habits he uses to beat it at 82.
Yann LeCun explains why deep learning works, why human intelligence is not general, and why self-supervised world models are the next step for AI.
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.
Neuroscientist Tommy Wood on why the brain needs challenge, how much dementia is preventable, and what Formula One teaches about performance.
Duke neuroscientist Jennifer Groh explains how we locate sound, why eardrums move with the eyes, what a thought may be, and how she focuses.
Leonard Susskind on intuition in physics, what quantum computers are for, what string theory achieved and why time has a direction.
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.
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.
Joe Rogan and Jim Breuer trade comedy origin stories, lessons from bombing and jealousy, travel tales, AI worries and ancient mysteries.