『Thinking On Paper』のカバーアート

Thinking On Paper

Thinking On Paper

著者： Mark Fielding and Jeremy Gilbertson
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Technology is moving faster than you can make sense of it. How do you keep up without surrendering your judgement to the people selling you the future? Thinking On Paper brings you inside AI, quantum computing, robotics, space, energy and biotechnology with the founders, scientists, engineers and CEOs building them. Then we follow the money, infrastructure, power and human consequences. See how the pieces connect, which promises survive contact with reality and where change is really heading, so you can prepare for what comes next and form your own view.Mark Fielding and Jeremy Gilbertson 経済学
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  • The Real Reason We Stop Asking Questions

    The Real Reason We Stop Asking Questions
    2026/08/03

    Why do we stop asking questions as adults? Philosopher Pia Lauritzen has analysed 30,000 of them, and says nothing was ever lost.


    The ability stays. What changes is the price. Every question admits you don't know something, and nobody gets promoted for ignorance. Ask in the wrong room and curiosity starts to feel like an interrogation, which is why most of us learn to keep the question to ourselves.


    She proves it in keynotes. One minute, two rules, and every person in the audience writes one. They could do it the whole time.


    Full episode with Pia Lauritzen on questions, curiosity and whether AI can think at www.thinkingonpaper.xyz


    Be curious, stay disruptive.


    --

    Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping your life.


    🏠 ⁠Buy us a beer on Substack⁠

    🫵 C⁠hoose your own technology adventure ⁠

    📺 ⁠Watch our beautiful faces on YouTube ⁠

    🎧 R⁠emember Steve Jobs on APPLE⁠

    📺 ⁠Get clips and exclusive videos on Instagram ⁠
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    5 分
  • AI Music: What Will Be The Last Song We Listen To Together?

    AI Music: What Will Be The Last Song We Listen To Together?
    2026/07/28

    Nicholas Ponari says AI music makes live performance more valuable, not less. Mark Fielding calls the same future a hellscape.


    Ponari's scenario: by 2045 his son types a script into a generator, gets a feature film in the style of Kubrick crossed with Tarantino, and hits publish.


    Everyone becomes a creator in every medium. Nobody can consume a fraction of it, so AI becomes the largest curator in history.


    Mark's objection is that shared culture dies with it. No song anyone else has heard. No film anyone else has seen. Nothing left to talk about.


    Ponari's answer is scarcity. When everything is generated, the things that cannot be, a room, a crowd, live music, become more valuable than ever.


    Who's right?


    Full episode at thinkingonpaper.xyz.

    Be curious, stay disruptive.


    --

    Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping your life.


    Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping your life.

    🏠 ⁠Buy us a beer on Substack⁠

    🫵 C⁠hoose your own technology adventure ⁠

    📺 ⁠Watch our beautiful faces on YouTube ⁠

    🎧 R⁠emember Steve Jobs on APPLE⁠

    📺 ⁠Get clips and exclusive videos on Instagram ⁠
    続きを読む 一部表示
    6 分
  • The Hard Question of AI

    The Hard Question of AI
    2026/07/22

    The US and China are racing to build AI systems that could lead to superintelligence before any enforceable global rules exist to inspect them, limit them or verify what they can do.


    Mark and Jeremy Think On Paper about The Hard Question of AI, an essay by Planet CEO Will Marshall. Marshall argues that AI governance now needs the same kind of verification, trust and global protection as nuclear weapons.


    That means more than voluntary safety tests and China and America laying down their AGI swords. And since that is unlikely, it could mean monitoring chips, tracking data-centre construction and energy use, inspecting frontier AI labs, protecting whistleblowers and agreeing international red lines around recursive self-improvement.


    But the nuclear comparison has many challenges. Weapons-grade material is scarce and difficult to hide. Just ask Iran. AI software can spread quickly and cross borders. Any Tom, Dick or Harry could end up being the first to create superintelligence.


    At the centre of the episode is one question: what would AI’s Cuban Missile Crisis look like? What event would force the US and China to cooperate? Really cooperate. Lip service won’t calm existential risk.


    We also discuss Sam Altman, Dario Amodei and Demis Hassabis, the incentives behind AI safety warnings, the limits of voluntary regulation, the RAND verification framework, recursive self-improvement, the Fermi paradox and whether governments can build the institutions required to manage AI superintelligence.


    Hint: they can’t.


    Please enjoy the show. And don’t have nightmares.


    --


    Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping your life.

    🏠 ⁠Buy us a beer on Substack⁠

    🫵 C⁠hoose your own technology adventure ⁠

    📺 ⁠Watch our beautiful faces on YouTube ⁠

    🎧 R⁠emember Steve Jobs on APPLE⁠

    📺 ⁠Get clips and exclusive videos on Instagram ⁠


    --

    Chapters



    00:00 Trailer

    01:38 AI And Existential Risk

    02:40 OpenAI, Anthropic & Google

    04:40 Nuclear meltdown or sharks?

    05:50 Why is everyone speaking about the end of humanity

    08:00 RSI - Closed loop recursive self improvement

    10:00 A ghostbuster copyright interlude

    19:39 Why America And China Are In An AI Race

    23:51 The AI Cuban Missile Crisis

    28:07 The AI Supply Chain

    35:09 USA And China And The AI DeadEnd

    40:36 The Nuclear Framework
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    51 分
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