The Perfect Summary Podcast

Matt Damon and Ben Affleck talk to Joe Rogan about The Rip, how streaming is reshaping movies, paying crews fairly, AI, forgiveness and greatness.

Author Pamela McCorduck recalls AI's founders, its roots in ancient myth, why she rejects the AI winter story, and what drew her to the field.

Jeremy Howard on fast.ai's mission, transfer learning, training fast on one GPU, programming languages, bootstrapped startups and learning.

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.

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.

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.

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.

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.

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.

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.

Author Rachel Wilson tells Joe Rogan why she thinks feminism was imposed on women and hurt families; her claims go largely unchecked.

Michael Kearns explains how fairness and privacy can be built into algorithms, the trade-offs involved, and who should decide.

Jessie Inchauspé explains the four nutrients she says matter most in pregnancy, and shares her experience of miscarriage.