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 IntelligenceComedyParentingRelationshipsStressClear
Pick as many as you like: any of them matches within a group.
Andrew Huberman explains the brain's threat reflex and why undoing fear means detailed re-exposure followed by a new, positive association.
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.
Sex professor Nicole McNichols explains how desire works, what most people never learned about anatomy, and how couples rebuild intimacy.
Skiing champion Mikaela Shiffrin explains why thinking about winning makes her lose, and how she learned to race through anxiety.
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.
Bert Kreischer and Joe Rogan on viral breaks in comedy, tuning out critics, a blood clot scare, awards, competitiveness and Bert's Netflix series.
Five relationship experts on why we repeat painful patterns in love, and why handling your own uncomfortable feelings is where the fix begins.
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.
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.
Leonard Susskind on intuition in physics, what quantum computers are for, what string theory achieved and why time has a direction.
Cybersecurity expert Caitlin Sarian gives Mel Robbins a plain checklist for avoiding scams and protecting accounts, parents and kids.
Behavioral scientist Logan Ury gives Mel Robbins research-backed advice on choosing partners, ending ghosting and dating with less burnout.
Stanford lecturer Matt Abrahams shares drills and frameworks for clear, confident speaking, from stage fright to small talk.
Harvard professor Leslie John on why silence damages marriages and careers, mind-reading expectations, and how to reveal wisely.
A compilation in which six experts explain types of narcissists, warning signs, family roots and how to protect your relationships.
Andrew Huberman explains the brain's social homeostasis circuit, why loneliness drives us to connect, and how shared experience builds bonds.
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.