The Perfect Summary Podcast

Max Tegmark calls the competition between AI labs Moloch's suicide race, Daniel Kokotajlo proposes transparency instead of a race, Nick Bostrom weighs superintelligence timelines and the race alongside governance, Dario Amodei describes Anthropic's race-to-the-top strategy, Sam Altman takes up competition, capped profit and the problem of power, and Sundar Pichai describes leading Google through the AI race. Seeing how each one explains the pressure to move fast, and what each would do about it, shows why safety promises are hard to keep when every lab fears falling behind.

Andrew Huberman explains interoception: how the brain senses the lungs, gut and heart, with tools for calm, cravings, nausea, fever and mood.

DHH on why Ruby is beautiful, coding with AI without losing skill, small teams, leaving the cloud, fighting Apple, fatherhood and racing.

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.

Neuroscientist Christof Koch explains what consciousness is, how to measure it, and how VR, meditation and psychedelics can widen our view of reality.

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

Lockheed Martin's CTO on the moon and Mars, trusting autonomous systems, Skunk Works, missile defense and the ethics of AI in defense.

Harvard's Paola Arlotta explains how the brain develops, what brain organoids can and cannot show, and the ethics of growing them.

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 Huberman explains the brain's threat reflex and why undoing fear means detailed re-exposure followed by a new, positive association.

Keras creator François Chollet on why intelligence won't explode, what deep learning can't do, and the real risks of recommendation algorithms.

Stanford ear surgeon Konstantina Stankovic explains how hearing works, what damages it, how to protect it, and why hearing loss matters for the brain.

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.

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.

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.

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.

Eckhart Tolle on why suffering comes from the mind's story, how to befriend the present moment, and manifesting from fullness, not lack.