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Into the Impossible With Brian Keating

Big Bang Productions Inc.
Into the Impossible With Brian Keating
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  • Into the Impossible With Brian Keating

    Dark Matter Has a Problem. So Does MOND.

    09/15/2026 | 15 mins.
    For 50 years I taught my students that dark matter surrounds the Milky Way in a giant halo, or that Newton’s laws break down at low accelerations. The Gaia satellite just measured something that makes both of those answers uncomfortable. Subscribe if you want science with evidence, not speculation.

    Gaia has measured over a billion stars. What its third data release shows is that the outer rotation curve of our own galaxy appears to decline in a Keplerian fashion. That should not happen if a dark matter halo is doing what we think it does. It also should not happen if MOND is right, because MOND produces flat curves for isolated galaxies. Both camps predicted something flatter. Neither got it.

    I walk you through the physics from Kepler to Vera Rubin to Gaia DR3, show you why systematic errors from asymmetric drift, the Large Magellanic Cloud, and the Sagittarius dwarf galaxy matter enormously before anyone draws a conclusion, and lay out the three scenarios that still survive. The most interesting question here is not which side lost. It is why both sides were expecting the wrong curve from our own galaxy.

    What you’ll hear:

    -Why the neutrino technically counts as dark matter and why that still leaves most of the problem unsolved

    -What Kepler’s first law of fatherhood has to do with galactic dynamics

    -Why Stacy McGaugh and Mordehai Milgrom might be celebrating too soon

    -What Cepheids, stellar streams, and globular clusters could tell us that Gaia cannot

    -Whether the Milky Way is too messy to ever give us a clean answer

    “The question is not which camp won, but why we were both expecting the wrong curve.” — Brian Keating

    CHAPTERS

    00:00 Two solutions. One problem. Neither wins.

    02:12 What Vera Rubin actually found

    03:18 We're inside the galaxy. That's the problem.

    04:24 The asymmetric drift problem

    05:04 What Gaia DR3 actually shows

    06:34 Why the mass estimate is model-dependent

    08:04 MOND: no radius, no problem. Until now.

    08:56 Gaia may be saying both sides are wrong

    09:24 Flaws lead to new laws

    10:22 LMC, Sagittarius, and the galactic warp

    12:28 Three viable explanations

    12:42 Dark matter adjusts. MOND adjusts. But is that enough?

    13:14 What could settle this

    14:04 Are we expecting the wrong curve?

    Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt

    Have a .edu email and live in the USA? You automatically win a meteorite: https://BrianKeating.com/edu

    Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1

    Support Into the Impossible on Patreon, get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating

    Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

    Related episodes:

    Stacy McGaugh episode: https://www.youtube.com/watch?v=NnpyFk2WlME

    My books:

    Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA

    Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu

    Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U

    Galileo’s Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un

    Twitter/X: https://x.com/BrianKeating

    Substack: https://briankeating.substack.com

    Blog: https://briankeating.com/blog

    Audio-only: https://briankeating.com/podcast

    #darkmatter #MOND #MilkyWay #cosmology #briankeating #intotheimpossible #physics
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  • Into the Impossible With Brian Keating

    OpenAI’s Navier–Stokes Claim: Is This What AGI Looks Like? with Emad Mostaque

    09/09/2026 | 1h 18 mins.
    Did OpenAI just solve Navier–Stokes—and what would that actually mean for AGI?

    Emad Mostaque joins Brian Keating LIVE to examine the claimed breakthrough, what would count as a verified solution, and whether AI solving a major mathematical problem changes the debate about intelligence—or control.

    Watch my explainer about AI and the Navier-Stokes problem, including insights from Terry Tao https://youtu.be/je9X59psm6U?si=wGbcLhXmf47jeCHL?sub_confirmation=1

    A convincing answer isn’t necessarily a proof. A mathematical breakthrough isn’t automatically AGI. But if this claim holds up, how much should we update our expectations?

    Emad helped bring Stable Diffusion to the world and signed the letter calling for a pause on frontier AI development. In his previous conversation with Brian and AI safety researcher Roman Yampolskiy, he questioned how such a pause could work—and highlighted swarm intelligence as a particularly dangerous and unpredictable risk.

    Now we return to the question underneath the excitement: if AI’s capabilities are accelerating, is our ability to understand and control them keeping up?

    ON THE TABLE:

    • What exactly is being claimed about Navier–Stokes?
    • What separates a proposed solution from an accepted mathematical proof?
    • If the result holds up, does it demonstrate AGI—or something narrower?
    • Can AI produce discoveries that humans struggle to verify?
    • What would this change about open-source AI and the argument for a pause?
    • Are we watching the wrong risk: a single superintelligence, or swarms of AI agents?
    • What evidence would change Emad’s mind?

    Bring your questions. We’ll examine the claim, the evidence, and what follows if it’s right.

    This livestream discusses a claimed result; it does not assume the Millennium Prize Problem has been resolved.

    FEATURED GUEST:

    Emad Mostaque on Twitter/X: https://x.com/EMostaque
    I.I.I. Inc.: https://ii.inc/
    Stable Diffusion / Stability AI: https://stability.ai/

    Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt

    Have a .edu email and live in the USA? Claim your meteorite: https://BrianKeating.com/edu

    Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1

    Support Into the Impossible on Patreon for unfiltered bonus content and live monthly Office Hours: https://www.patreon.com/drbriankeating

    Join this channel for perks, monthly Office Hours, and your name in the Member Roster: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

    MY BOOKS:

    Losing the Nobel Prize: http://amzn.to/2sa5UpA
    Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu
    Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U
    Galileo’s Dialogue audiobook: https://a.co/d/iZPi9Un

    CONNECT WITH BRIAN:

    Twitter/X: https://x.com/BrianKeating
    Substack: https://briankeating.substack.com
    Blog: https://briankeating.com/blog
    Audio-only: https://briankeating.com/podcast

    #OpenAI #NavierStokes #AGI #EmadMostaque #ArtificialIntelligence #BrianKeating #IntoTheImpossible
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  • Into the Impossible With Brian Keating

    Roman Yampolskiy vs Emad Mostaque: I Was The Only Optimist - #569

    09/01/2026 | 58 mins.
    The man who open-sourced the most-used AI image model in history sat down with the man who has spent a decade proving superintelligence cannot be controlled. Brian set up a debate. What emerged was something more unsettling than any debate.

    Roman Yampolskiy is the computer scientist who coined the term AI safety and author of AI: Unexplainable, Unpredictable, Uncontrollable. Emad Mostaque is the co-founder of Stable Diffusion and the only AI CEO who signed the pause letter. He now says he doesn’t know how a pause could work. Yampolskiy thinks that is the only option left.

    The question underneath everything is simple: if you have a 50% chance of wiping out civilization and you build it anyway, what are you actually doing? We cover what AI safety researchers actually think the danger is, why nobody has published a paper, filed a patent, or shipped a prototype for controlling a superintelligence, what the Qwen weights being out means for the pause argument, and why Mostaque thinks swarm intelligence is the most dangerous and most unpredictable risk vector we have.

    What you’ll hear:
    -Why both guests think P(doom) tells you less than you’d hope
    -What it means that no company, no lab, and no team has a patent on controlling superintelligence
    -Why the models the public receives are slightly lobotomized
    -The difference between an AI swarm and the ASI everyone is debating
    -Why giving every psychopath access to a cutting-edge intelligence weapon is incoherent safety strategy
    -What it would actually take to update Yampolskiy’s assessment

    “We either do it, or we die. There is nothing for you to gain by doing it.” — Roman Yampolskiy

    CHAPTERS
    00:00 A debate that wasn't a debate
    00:36 Turing test, AGI, superintelligence: where are we?
    02:02 The open source argument nobody wins
    03:32 Pause frontier AI forever. Which button?
    05:04 P(doom): parameterizing our ignorance
    09:02 Nukes are inefficient. AI isn't.
    11:46 The lobotomized model problem
    18:04 Decade-old problems solved weekly now
    26:18 We either do it or we die
    31:10 Stop the training or stop the funders
    33:34 Lipstick on a Shoggoth
    35:50 No paper. No patent. No framework.
    39:42 Train only on what you need
    44:14 What lowers Mostaque's p(doom)?
    52:00 Same future. Two perspectives.

    Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt

    Have a .edu email and live in the USA? You automatically win a meteorite: https://BrianKeating.com/edu

    Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1

    Support Into the Impossible on Patreon, get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating

    Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

    Featured Guests:
    Roman Yampolskiy on Twitter/X: https://x.com/romanyam?lang=en
    AI: Unexplainable, Unpredictable, Uncontrollable (book): https://www.amazon.com/dp/103257626X
    MIRI: https://intelligence.org

    Emad Mostaque on Twitter/X: https://x.com/EMostaque
    I.I.I. Inc.: https://ii.inc/
    Stable Diffusion: https://stability.ai/

    My books:
    Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA
    Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu
    Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U
    Galileo’s Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un

    Twitter/X: https://x.com/BrianKeating
    Substack: https://briankeating.substack.com
    Blog: https://briankeating.com/blog
    Audio-only: https://briankeating.com/podcast

    #AIrisk #aisafety #stablediffusion #RomanYampolskiy #EmadMostaque #briankeating #intotheimpossible
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  • Into the Impossible With Brian Keating

    The Universe Didn’t Come From Nothing | The Peter McCormack Show

    08/28/2026 | 1h 46 mins.
    I joined Peter McCormack to dig into one of the deepest unanswered questions in physics: what is time, and why does it only seem to move in one direction? My answer might surprise you. Time may not be a fundamental feature of reality at all, and understanding space, matter, and energy still doesn't mean we understand the universe itself.

    We cover:

    - What may have existed before the Big Bang
    - Why something can't truly come from nothing
    - How my work with the Simons Observatory could detect gravitational waves from the universe's earliest moments
    - What dark matter actually means
    - Why even a film as detail-obsessed as Interstellar still gets the physics wrong.

    The conversation then turns from cosmic time to human time: mortality, family, meaning, and attention. We get into UFO disclosure, the collapse of institutional trust, and whether AI can ever reproduce the embodied human insight that let Einstein transform physics. My take: AI remains a tool built to serve humanity, and it's time we stop apologizing for humanity's greatness.

    ———

    📬 Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt

    🌠 Have a .edu email and live in the USA 🇺🇸? You automatically win a meteorite: https://BrianKeating.com/edu

    🔔 Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1

    🎯 Support Into the Impossible on Patreon — get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating

    ⭐ Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode:

    https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

    📚 My books:

    Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA
    Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu
    Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U
    Galileo's Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un

    🌐 More:

    🏄‍♂️ Twitter: https://twitter.com/BrianKeating
    📚 Substack https://briankeating.substack.com/ss
    ✍️ Blog: https://briankeating.com/blog
    🎙️ Audio-only: https://briankeating.com/podcast

    #intotheimpossible #briankeating #science #physics #astronomy #cosmology #podcast #universe

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  • Into the Impossible With Brian Keating

    The Physics Reason AI Works When It Shouldn’t - #568

    08/25/2026 | 1h 17 mins.
    The same mathematics that explains why a fridge magnet sticks to your refrigerator also explains why neural networks work when they have no right to. His group did the calculation. Nobody else had. Subscribe if you want science with evidence, not speculation.

    Goldenfeld is a Professor of Physics at UC San Diego, a Fellow of the Royal Society, and a Member of the National Academy of Sciences who spent 36 years at the University of Illinois applying condensed matter physics to problems everyone else had given up on: why the genetic code is optimal, why early life evolved impossibly fast, and why AI works despite being overparameterized beyond anything classical statistics can explain.

    The thread connecting all three is one idea: that what emerges from many things together is qualitatively different from the sum of its parts. That idea explains magnetism, AI, the origin of the genetic code, and why life may be inevitable wherever the laws of physics apply. He also argues that what is happening to science right now is not a disagreement about facts but a fracture in how people decide what is true, and that is a more dangerous problem.

    What you’ll hear:

    -Why the same phase transition that explains magnetism also explains why AI works at all

    -Why Francis Crick concluded life must have come from outer space and what Goldenfeld found instead

    -What horizontal gene transfer has to do with how libraries work

    -Why Goldenfeld thinks Enceladus is a better bet for life than Europa

    -The purpose of life, stated as a thermodynamics problem

    -Why “different is more” is more useful than “more is different”

    “The impact you make is the ratio of what you do divided by what everybody else does. Minimize the denominator.” — Nigel Goldenfeld

    CHAPTERS

    00:00 AI shouldn't work. It does.

    00:56 What is a phase transition?

    03:10 What the renormalization group does

    08:54 Ising gave up. Wrong dimension.

    13:32 Nigel almost met Ising. 40 minutes away.

    26:38 AI is the best example of more is different

    33:52 Bardeen won two Nobels. The transistor looked like chewing gum.

    37:24 The three mysteries Crick couldn't solve

    46:20 The genetic code can't evolve. And yet it did.

    49:00 How early life evolved like a library

    57:06 The purpose of life as a physics problem

    01:00:04 Life is physics, not chemistry

    01:05:56 Anti-science age. Not because of opinions.

    01:13:00 20 seconds with your 20-year-old self

    01:17:14 Different is more

    Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt

    Have a .edu email and live in the USA? You automatically win a meteorite: https://BrianKeating.com/edu

    Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1

    Support Into the Impossible on Patreon, get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating

    Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join

    Featured Guest:

    Nigel Goldenfeld website: https://guava.physics.ucsd.edu/~nigel/

    Lectures on Phase Transitions and the Renormalization Group: https://www.amazon.com/dp/0201554097?lv=shuf&channelId=500&plpRedirect=mhFallbackNigel Goldenfeld on Twitter/X: https://x.com/NigelGoldenfeld

    My books:

    Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA

    Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu

    Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U

    Galileo’s Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un

    Twitter/X: https://x.com/BrianKeating

    Substack: https://briankeating.substack.com

    Blog: https://briankeating.com/blog

    Audio-only: https://briankeating.com/podcast

    #intotheimpossible #briankeating #NigelGoldenfeld #physics #AI #originoflife #condensedmatterphysics #podcast
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About Into the Impossible With Brian Keating
Think like a physicist. Wonder like a human. Into the Impossible is where Cosmic Conversations happen — uniting Nobel Prize winners, iconoclasts, authors, and technologists to explore reality’s deepest questions. From AI to aliens, from biophysics to the brain, from the cosmos to the multiverse, Brian Keating, Chancellor’s Distinguished Professor of Physics at UC San Diego covers it all. If you’ve ever asked What’s out there? or What’s next?, this is where curiosity meets clarity. Learn to think like this. 🎙 Full episodes, notes & more: briankeating.com/podcast
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