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Descubre un mundo infinito de historias

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Neuroscientist and author David Eagleman discusses how our brain interprets the world and what that means for us. Through storytelling, research, interviews, and experiments, David Eagleman tackles wild questions that illuminate new facets of our lives and our realities.


Inner Cosmos with David Eagleman

Why will you make different moral decisions in similar circumstances? Why do some people make different choices than you? What happens when ancient moral instincts collide with modern problems such as pandemics, AI alignment, and political tribalism? Could a simple online game reduce polarization? Could you contribute to charities more effectively if you understood how your moral brain decides? Join Eagleman this week with guest Joshua Greene as we open the hood of human morality.

Ep134 "What do brains teach us about morality?" with Joshua Greene

Why do people sometimes buy into ideas that seem obviously false from the outside, as with conspiracy theories? Is this kind of misbelief a universal feature of human brains? Does it offer clarity and belonging when reality feels chaotic and threatening? What would it take for you (under the right emotional conditions) to begin believing something that your past self would find unbelievable? Today we’ll speak with behavioral economist Dan Ariely, who has thought a lot about misbelief: for him it's a scientific question, but also an interest that started very personally.

Ep133 "Why do people hold misbeliefs?" with Dan Ariely

If AI can do everything from writing novels to designing proteins, what remains that only humans can do? What's the human advantage in a world where machines can outperform us at almost any measurable task? What does any of this have to do with Stephen King’s nightmares, Tom Cruise’s stunts, the first shoeshine caught on camera, the shortage of air conditioner repairmen, and why hyper-capable AI might actually increase the demand for unexpected jobs? Today we speak with author and technologist Andrew Mayne.

Ep132 "What will AI mean for the economy?" with Andrew Mayne

How do societies work their way out of polarization? And what does the answer have to do with broken trucks, the Apollo program, the movie 'Watchmen', Iroquois Native Americans, a new idea for social media algorithms, moral taste buds, and how we can take advantage of the common threads that bond us -- coming to see each other again as fellow travelers improvising their way through the same noisy world?

Ep131 "What do brains tell us about politics?" Part 2: Rehumanization

What do propaganda posters have in common across nation and time, and how is that related to the medial prefrontal cortex? What is behind repeating cycles of societal polarization? What does any of this have to do with the American Civil War, hippies vs soldiers, border ruffians vs free-staters, hanging chads, Pearl Harbor, and why education can serve as an immune response to mind viruses?

Ep130 "What do brains tell us about politics?" Part 1: Polarization

Would a utopia be possible? Or does our innate tribalism and jealousy make perfect societies difficult to achieve? Do we secretly love hierarchies? Why are primate brains such excellent detectors of unfairness? Why do things become more desirable when we’re told we can’t have them? Did the church’s disavowal of first-cousin marriage lead to better politics? This week Eagleman talks with psychologist Paul Bloom about the (im)possibility of achieving societal utopias.

Ep129 "Is utopia possible or do human brains preclude it?" with Paul Bloom

Imagine we eventually meet some alien scientists. If they can see electrons or smell photons, would their science look like ours? Is physics a universal language, or just a local dialect of the human brain? Would aliens use math, or might their truths be organized unrecognizably? Are the “laws of nature” really laws, or simply our interpretations? Join Eagleman with particle physicist Daniel Whiteson, author of the new book “Do Aliens Speak Physics?”

Ep128 "Would space aliens see the world as we do?" with Daniel Whiteson

What is a brain-computer interface? How can a paralyzed person use her brain to control a robotic arm? How can someone who's lost the gift of speech use brain signals to broadcast his voice again? Can we eventually restore autonomy and dignity so seamlessly that the technology disappears and the person reappears? Where are the ethical boundaries between restoring function and spying on private thought? Who owns the stream of neural data that represents you? Join this week with guest neuroscientist Sergey Stavisky as we dive into the world of interfacing brains and machines.

EP127 "What happens when we marry brains to machines?" with Sergey Stavisky

How is sci-fi like a cultural research and development lab? Will we someday have AI agents that live in robot bodies, and will we be liable if they commit murder? What happens when reality is no longer verifiable? How can we create AI advocates that guide us toward self-actualization over distraction? What is a Young Lady's Illustrated Primer? This week we talk with researcher Bethany Maples about science fiction and how it might prepare us to wrestle with the deepest questions about AI, identity, and the future of humanity.

Ep126 "Does science fiction shape reality?" with Bethanie Maples

Why do human brains need social interaction? Why might AI chatbots be insufficient to scratch the itch? What do we love so much about real human touch and in-person interaction? Why do so many of us live with dogs? From empathy to introversion to social media to isolation (and what to do about it), we’ve got it all this week with guest Ben Rein, author of the new book Why Brains Need Friends.

Ep125 "Why do brains need friends?" (with Ben Rein)

Modern AI is blowing everyone’s mind. But is it intelligent like humans, or is it just playing impressive statistical games? Could AI reach or exceed our level of intelligence, and how would we know when it gets there? Traditional tests for intelligence (Turing test, Lovelace test, etc) have long been surpassed, so Eagleman proposes a new kind of test.

Ep7 "Is AI truly intelligent? How would we know if it got there?"

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