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TitlePub. DateDuration
Will AI End Music? Hyper-personalization And The Future Of Collective Culture28 Jul 202600:05:32

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 ⁠


How Humanity Survives The US-China AI Arms Race 22 Jul 202600:50:40

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


Space-Based Solar Power For The MTV Generation27 May 202600:52:14

Sanjay Vijendran of TerraSpark joins Thinking on Paper to explain how space-based solar power could become a practical source of clean energy.


TerraSpark is developing wireless power-transmission systems that could eventually collect solar energy in orbit and beam it to receivers on Earth. The company plans to demonstrate the concept by powering a live music event in Portugal and by testing radio-frequency power transfer aboard Dcube’s Arrakis mission.


In this episode, we discuss:


  • How space-based solar power works

  • How energy can be transmitted wirelessly

  • TerraSpark’s plan to power a concert in Portugal

  • What its in-orbit power-beaming experiment will test

  • The differences between radio-frequency and laser power transmission

  • How near-infrared power beaming works

  • How much energy is lost during wireless transmission

  • Whether orbital data centres could use the same infrastructure

  • How space-based solar could improve energy security

  • Why spectrum regulation and interference testing matter

  • What investors and regulators need to see before the technology can scale


Sanjay explains the engineering, regulatory and commercial challenges behind power beaming, including transmission efficiency, safety, spectrum allocation and the cost of placing energy infrastructure in orbit.


This conversation examines whether space-based solar power can move beyond demonstration projects and become a credible alternative to terrestrial energy generation and fossil fuels.


--


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


🏠 Buy us a beer on Substack

🎧Be With Us On YouTube

🎧 Remember steve jobs on APPLE

📺 Get the clips and outtakes on Instagram


--


Chapters


(00:00) Introduction to Space-Based Solar Power

(01:37) Market Trends and Projections

(03:52) Energy Crisis and Global Dependencies

(06:26) The Threat to Power Structures

(07:39) Innovative Demonstrations of Wireless Power

(10:31) Future Plans and Space Missions

(20:41) Scaling Power Transmission from Space

(22:35) Technologies for Space-Based Solar Power

(31:22) Governance and Regulation of Space-Based Solar Power

(49:57) The Future of Space-Based Solar Power



AI Girlfriends And Boyfriends22 May 202500:27:27

Would you let your children have an AI boyfriend or girlfriend? We're reading Irreducible, by Federico Faggin. It's Chapter 7 and Mark and Jeremy think on paper about the hard problem of consciousness, qualia, ai awareness and the inner semantic space that creates your experience.There are 4 types of qualia: physical sensations and feelings, emotions, thoughts and spiritual feelings. From there they go back in time to Aldous Huxley and the Dharma Bums and how the modern take on consciousness isn't new. None of this is really new. Now, if AI can't feel qualia you'll end up with quasi-humanity emerging from the tech dream. But does that matter? If it looks real and feels real, it might as well be real.. But what if it slowly erodes what it means for us to be human.If you're thinking about the impact of technology on culture, you should listen to Thinking On Paper.Please enjoy the show. And share with a curious friend.


Listen to chapter 1-6: https://www.youtube.com/watch?v=z2EteMXVv-8&t=357s&ab_channel=ThinkingOnPaper


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Chapters

(00:00) Introduction to Consciousness and AI

(02:32) The Nature of Consciousness

(05:12) Qualia and Human Experience

(07:27) The Distinction Between Humans and Machines

(09:23) The Hard Problem of Consciousness

(11:27) AI, Empathy, and Human Connection

(13:40) Cultural Norms and AI Integration

(16:10) Interiority and Quantum Consciousness

(17:54) True Intelligence vs. Machine Intelligence

(19:46) Comprehension and Perception

(22:20) The Future of Consciousness and AI


--

Join the free thinkers - www.thinkingonpaper.xyz


Can Technology Really Be Used For Good? Khang Nguyen Trieu 19 May 202500:39:08

Is technology for good anything more than a marketing strategy?

Technology shapes everything. From how you work and connect to how you make decisions. But is humanity using it to solve the right problems? And when millions of people rely on boring, repetitive jobs to survive, what happens when AI takes them away?

On Victory in Europe Day, Khang Nguyen-Trieu joins Mark and Jeremy to Think on Paper about what ethical technology actually looks like in the real world. With decades of experience building large-scale systems, he brings grounded strategies for setting boundaries, listening to people, and turning complexity into advantage.

If tech is meant to serve people, why does it so often forget they're there?

Please enjoy the show. And share with a curious friend.

--

Join a community of disruptors and curious minds: ⁠www.thinkingonpaper.xyz⁠

--

Chapters

(00:00) Introduction to Technology for Good

(02:01) The Impact of Technology on Society

(04:07) Social Media: A Double-Edged Sword

(05:35) AI and Human Relationships

(09:57) Shifting the Focus: Profit vs. Purpose

(12:10) Rethinking Technology's Role

(16:22) The Need for Ethical Considerations

(20:52) Cultural Perspectives on Society and Individualism

(22:45) Empathy in Technology and Human Interaction

(24:45) The Role of Technology in Hospitality

(28:38) Balancing Automation and Human Connection

(34:16) Philosophical Reflections on Humanity and Wisdom   



The Technology Podcast For Disruptors And Curious Minds™15 May 202500:01:21

A podcast for people who refuse to let algorithms, headlines, or influencers do their thinking for them.

What happens when technology moves faster than meaning? When AI writes code, raises your kids, and reshapes your job, but no one asks what it’s doing to your values?

Thinking on Paper is a podcast for people who want to think clearly about the future. Created by curious minds, strategists, and builders, this show explores the deep structures behind AI, blockchain, quantum computing, digital ethics, and platform power.

It is not a hype machine. It is not a founder showcase. And it is definitely not a TED Talk.

Each episode starts with a central question. Can machines be conscious? Is quantum computing a revolution or just an expensive metaphor? What happens when design prioritizes engagement over agency?

We talk to technologists, ethicists, designers, researchers, and people who are trying to build or resist the future. Not to promote. To pressure test.

  • Artificial intelligence and consciousness

  • Quantum computing and human complexity

  • Surveillance, digital identity, and data ownership

  • The design of platforms, products, and values

  • How children and families are shaped by emerging technology

  • What progress actually looks like, and who gets to define it

This trailer is the starting point. Subscribe to build your own framework for what comes next.

Think slower. Question harder. Use your mind like it matters.

Learn more: www.thinkingonpaper.xyz
#AIpodcast #technologyandethics #futureoftechnology

Topics we cover:


The AI Business Playbook - Ajay Malik, CEO StudioX AI 12 May 202500:41:46

Shopify. Duolingo. Box. Meta: Don’t give it to a human until you’ve asked the machine.

This isn’t disruption. This is displacement. And if you’re not ready, you’re next.

Ajay Malik helped run Google’s data centers. Now he’s building AI agents that kill the corporate time-suck at its source. Emails? Scanned. Contracts? Summarized. Cameras? Watching. Support tickets? Prioritized before you’ve had your coffee.

Forget the whitepapers. This is what it looks like when someone actually builds the machine that replaces middle management.

The question isn’t should your company use AI.
It’s how many people will you need once it does.


--

Links

Studio X: https://www.studiox-ai.com/

Ajay Insta: https://www.instagram.com/ajay.malik.official/

Thinking On Paper: www.thinkingonpaper.xyz


--

Timestamps

(00:00) Disruptors and curious minds

(00:45) Introduction to AI and Its Impact

(03:47) Ajay Malik's Journey with AI

(06:59) Core Capabilities of AI

(09:58) AI as a Partner in Decision Making

(14:20) Trusting AI in Business

(15:32) Practical Applications of AI in Business

(18:47) The Role of AI in Enhancing Productivity

(21:49) Creative Potential and AI Hallucinations

(24:35) Engaging with AI for Business Growth

(29:27) The Emotional Aspect of AI Communication

(30:06) Studio X: No Code AI Solutions

(31:49) Connecting Knowledge for AI Utilization

(34:48) Integrating AI into Daily Workflows

(36:05) Managing AI Agents Like Interns

(40:09) The Responsibility of AI Management

(43:17) AI Applications in Business Operations

(45:37) Navigating IT Concerns with AI Implementation

(48:56) Maximizing Impact with AI Tools

(51:39) Knowledge Transfer and Employee Concerns

(54:49) Preparing Future Generations for AI 



AI Will Never Be Conscious - Federico Faggin, Irreducible (Chapter 6) 06 May 202500:25:08

In Chapter 6 of Irreducible, by Federico Faggin, Mark and Jeremy get into what makes living cells tick and why machines will never be conscious.What is “live information” and how does it blend matter, energy, and data into life? How can machines be alive if they don't know, if they can't know what it's like to be aware? How can AI be conscious when it can't feel? Please enjoy the show. And share with a curious friend.

--


Join the book club: www.thinkingonpaper.xyz


--


Chapters

(00:00) Introduction to Irreducible

(02:54) Exploring the Nature of Life

(05:54) Biology Vs Information

(09:04) Consciousness and Free Will

(12:10) The Hard Problem of Consciousness

(15:12) The Future of AI and Consciousness

(18:03) Science Fiction and Human Experience

(20:52) Differences Between Cells and Computers

(27:01) Conclusion and Reflections on Consciousness

The World Was Saved From Nuclear Disaster Because Of A Human17 Apr 202500:35:47

On the 26th september, 1983, in the midst of the Cold War, the world was saved from nuclear disaster because of a human.


An Ai wouldn't have seen the patterns and World War 3 would have been triggered. We're reading chapters 4 and 5 of Irreducible. And he lays out the groundwork for a new theory of consciousness.


He proposes it's fundamental to the universe. And the repercussions of that are monumental.


Please enjoy the show. And share with a curious friend.

.--


Chapters

(00:00) Introduction to the Battle for Attention

(01:01) The Cold War and Stanislav Petrov's Decision

(03:40) The Nature of Information

(16:40) Consciousness vs. Machines

(24:12) Coding DNA and Human Intuition

(26:51) Curiosity and Creativity: The Human Experience

(32:26) Live Information: Energy, Matter, and Consciousness

(34:40) The Nature of Meaning and Consciousness

(38:02) Quantum Computing and Its Mysteries

(44:47) Consciousness and Free Will: A Philosophical Inquiry




Watch Chapter 1: https://www.youtube.com/watch?v=ZeqTB-q-W10&t=42sWatch Chapter 3 & 4: https://www.youtube.com/watch?v=f0EynDKlcnE&t=79s&ab_channel=ThinkingOnPaper




Space-Based Solar Power Vs Climate Change15 Apr 202500:48:33

Space-based solar power is the focus of this episode with Sanjay Vijendran, former European Space Agency lead on space-based solar power and founder of Space Energy Insights.


We explore whether solar farms in orbit could collect sunlight above the clouds and beam clean energy back to Earth.


The conversation explains why space-based solar power is being reconsidered now, from climate change and energy poverty to reusable rockets, falling launch costs, in-space manufacturing and lunar resources.


You'll learn about wireless power transmission, radio frequency versus laser power beaming, safety, public perception, regulation, and the challenge of turning a 50-year-old idea into a serious clean-energy technology.

--


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


🏠 Buy us a beer on Substack

🎧 Take us with you on Spotify

🎧 Remember Steve Jobs on APPLE

📺 Get the clips and outtakes on Instagram



--

Chapters


(00:00) Space Based Solar Intro

(01:03) What Is Space-Based Solar Power

(02:41) Energy Poverty

(05:03) The Viability of Space-Based Solar Power

(07:23) Wireless Power Transmission

(10:14) Technical Challenges of Scaling Up

(12:03) Cost Considerations and Economic Viability

(14:27) Future of Manufacturing in Space

(17:15) Hot Takes and Personal Insights

(19:55) Economics of Space-Based Solar Power

(29:21) Understanding Energy Sources

(31:22) Private Companies in Space-Based Solar Power

(33:19) RF vs. Lasers

(35:47) Safety Mechanisms in Space-Based Power Systems

(41:06) Collaboration vs. Competition

(42:37) Political and Cultural Barriers

(46:44) Investing in Space-Based Solar Power   



What Is Decentralized AI? 07 Apr 202500:48:31

Jihao Sun, co-founder of Flock.io, joins Mark and Jeremy to Think on Paper about decentralized AI. LLMs that trains locally, protect privacy, and reward users. They get into data ownership, blockchain-based training, and whether federated learning can really compete with centralized giants.

If your data is building the next generation of AI, who’s it building it for? And why aren’t you in control?


Please enjoy the show. And share with a curious friend.


--

CHAPTERS

(00:08) Introduction to Decentralized AI

(01:33) The Importance of Decentralization in AI

(04:40) Accessibility and Cost of AI Technology

(07:53) Understanding Federated Learning

(11:38) Challenges of Centralized AI Systems

(14:30) Exploring Federated Learning in Banking

(17:10) Blockchain's Role in Decentralized AI

(20:45) Democratizing AI Development with Flock

(26:49) Real-World Use Cases of Flock

(32:56) The Evolution of Parenting and Technology

(35:28) Decentralization vs Centralization in AI

(36:31) Future of Decentralized AI Models

(37:29) Understanding AI Hallucinations

(41:23) The Role of Synthetic Data

(44:59) Getting Involved with Decentralized AI

(45:53) Staying Out of Your Own Way

(47:03) Final Thoughts on Decentralization and AI


--


Learn more:www.flock.io

www.thinkingonpaper.xyz


Can AI Ever Be Conscious? - Irreducible, Federico Faggin (Chapter 3)03 Apr 202500:26:16

We're reading Chapter 3 of Irreducible by Federico Faggin, and he argues that consciousness is rooted in the quantum nature of life, something potentially inaccessible to classical, deterministic machines. If that's true, AI consciousness is impossible.

Faggin contrasts the symbolic processing of computers with the dynamic, self-organizing behavior of living systems. He suggests that real understanding isn’t just non-algorithmic, it may be inseparable from the quantum coherence found in biological life.

Are we mistaking simulation for sentience?

Please enjoy the show. And share with a conscious friend.

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Timestamps

(00:00) Consciousness and Meditation

(05:00) The Nature of Machines

(09:56)Computers vs. Humans

(15:50) Quantum Consciousness and Its Implications

(20:49) The Evolution of Humanity vs. Machines

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Learn more: www.thinkingonpaper.xyz



How Hollywood Uses AI - David Bianchi on Building RZR Outside the Studio System31 Mar 202500:43:23

When Hollywood passed on RZR, David Bianchi chose to build the series independently.


He used NFTs to finance production, retained creative control, and incorporated AI tools such as Midjourney into the development process. The result was an Emmy-nominated science-fiction series created outside the traditional studio system.


In this episode, Bianchi explains how Hollywood uses AI, where those tools are genuinely useful, and what independent creators can gain by controlling their funding, production and intellectual property.


We discuss:

  • How NFTs helped fund RZR without surrendering ownership

  • How Bianchi used AI tools during production and what they saved

  • What final cut means for an independent creator

  • The practical limits and advantages of Web3 financing

  • Why creative ownership matters as studios and platforms adopt AI


This is a conversation about AI in Hollywood, independent production and the economics of creative control. It examines what becomes possible when filmmakers use new technology without relying on the traditional studio model.



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Timestamps

(00:00) Beyond Hollywood Gates: Funding Film with Web3

(05:28) TikTok to Emmy: Finding New Talent in the Digital Age

(11:07) Own the Story: How NFTs are Changing Fan Engagement (22:42) AI vs. Artist? Democratizing Creativity on Screen

(31:26) Dystopian Visions, Real Tech: Learning from Sci-Fi (37:53) Finding Calm in Chaos: Bianchi's Creative Process


 --

Learn more: www.thinkingonpaper.xyz




Lithium Mining: The High Stakes Gamble For Clean Energy 23 May 202600:52:23

Jennifer Dunn, professor of chemical engineering at Northwestern University, joins Thinking on Paper to explain how lithium and copper mining affect water, ecosystems, local communities and the wider energy transition.


Lithium and copper are essential to electric vehicles, grid storage, renewable energy, drones and data centres. But the environmental consequences of extracting these minerals vary sharply depending on the mine, location, technology and supply chain.


Life cycle assessment offers a way to compare those impacts across different forms of production, from lithium brines and hard-rock mining to copper extraction, refining and recycling.


In this episode, we discuss:


  • The environmental impact of lithium mining

  • How lithium brine mining compares with hard-rock lithium mining

  • Why copper demand is rising

  • How mining affects water use and local water stress

  • The risks of pollution, biodiversity loss and mining waste

  • How life cycle assessment compares mines and supply chains

  • Why local conditions matter more than global averages

  • The role of mine permitting in the energy transition

  • Whether recycling can reduce demand for new mining

  • How battery supply chains shift environmental costs between regions

  • What responsible critical-mineral production should look like


Jennifer explains why no single measure can capture the full impact of a mine. Carbon emissions matter, but so do water availability, land use, waste, local ecology and the distribution of costs and benefits.


This conversation examines whether clean energy can scale without transferring environmental harm from fossil-fuel systems to the communities that supply lithium, copper and other critical minerals.


--


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


🏠 Buy us a beer on Substack

🎧 Take us with you on Spotify

🎧 Remember steve jobs on APPLE

📺 Get the clips and outtakes on Instagram --



Chapters


(00:00) Disruptors & Curious Minds

(02:10) The Demand for Copper and Lithium

(02:57) Environmental Impact of Mining

(05:59) Water Consumption and Mining Methods

(08:30) Community Concerns and Local Impact

(11:29) Recycling and Wastewater Mining

(14:04) Life Cycle Assessments in Mining

(27:06) Understanding Emissions in Mining

(29:45) Life Cycle Assessment: A Comparative Approach

(34:05) Stakeholder Perspectives on Mining Impacts

(37:42) Technology and Transparency in Mining

(42:42) Consumer Awareness and Ethical Sourcing

(48:55) Challenges in Quantifying Social Impacts



Federico Faggin Says The Universe Is Quantum Consciousness26 Mar 202500:34:22

Is quantum based panpsychism a valid explanation of our experience? Is the universe made of conscious units know as seities? Does the universe want to know itself? Federico Faggin thinks so.


It's a book club, captain, but not as we know it. Please enjoy the show. And share with a curious friend.

  • Why classical physics broke under its own weight

  • What quantum mechanics tells us about the nature of reality

  • Why observation, not code, might be the missing piece

  • What separates comprehension from computation

  • And why AGI might be chasing the wrong target



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Timestamps

(00:00) Exploring Consciousness and Reality

(02:14) Federico's Background

(03:15) The Evolution of Scientific Thought

(05:59) The Nature of Quantum Reality

(08:01) Understanding Axioms and Mathematics

(10:41) The Interconnectedness of Existence

(12:20) The Role of Measurement in Reality

(17:44) The Nature of Particles and Consciousness

(21:01 Non-Locality and Quantum Entanglement

(24:39 Consciousness: The Knowing-Existing Loop

(28:46) Machines vs. Conscious Beings

(32:46) The Intersection of Consciousness and Reality


--

Learn more and join the book club: ⁠www.thinkingonpaper.xyz⁠

--

Catch up on the next episodes of the Irreducible Book Club on YouTube: https://youtu.be/A0Ok3ObtwSk?si=n_pSgA_JIOS-BRKG




Sam Altman’s World ID: Can Iris Scans Prove You’re Human Online?19 Mar 202500:45:04

Ajay Patel, Head of World ID at Tools for Humanity, joins Mark and Jeremy to discuss digital identity in the age of artificial intelligence.


As AI-generated content spreads across the internet and bots become harder to distinguish from people, existing verification systems are starting to fail. CAPTCHAs are increasingly ineffective, while conventional identity checks often require users to hand over sensitive personal information.


World ID proposes a different model: verifying that someone is a unique human without revealing their identity. The system combines iris biometrics, zero-knowledge proofs and decentralised infrastructure to create what Tools for Humanity describes as a privacy-preserving proof of personhood.


In this episode, we discuss:


  • How Sam Altman’s World ID system works

  • Why World ID uses iris scans to verify unique humans

  • What zero-knowledge proofs mean for online privacy

  • Whether biometric data can ever be collected safely

  • How AI agents and bots are changing digital identity

  • What happens when platforms can no longer tell humans from machines


The conversation examines the technical design, privacy concerns and wider implications of World ID. It also asks a more fundamental question: what kind of internet remains when proving you’re human becomes difficult?

Please enjoy the episode and share it with someone interested in AI, digital identity and online privacy.






Timestamps


(00:00) Intro: Future of Digital Identity & AI Challenges

(01:15) Meet Ajay Patel: Head of World ID at Tools for Humanity

(01:44) WorldID: Why Digital Identity Matters in the Age of AI

(05:40) Global Digital Identity for 8 Billion Humans

(07:38) AI in 2025: How Advanced is AI Really?

(08:17) AI Bypassing CAPTCHA: The Security Crisis

(12:54) ZK Proofs Explained: Privacy-Preserving Tech Behind World ID

(15:20) How World ID’s Iris Scan Works (No Data Stored!)

(18:54) World ID Data Security: Breaking Down Multi-Party Computation

(22:56) Hot Button Q&A: Apple vs Android, AGI Threats, & More

(24:19) World ID Use Cases: Gaming, Voting, & Anti-Bot Systems

(25:13) Exclusive: World ID x Razer to End Gaming Cheats

(30:56) AI Hype vs Reality: Are Bots Just “Yes Men on Servers”?

(35:35) Decentralizing World ID: Open Protocol, No Corporate Control

(38:15) Question for Next Guest: Hollywood’s David Bianchi on AI & Art



Thank you for Thinking On Paper. Your future self will thank you.   


Nexus: Yuval Noah Harari on AI, Digital Empires and the Silicon Curtain18 Mar 202500:30:02

In the final chapter of Nexus, Yuval Noah Harari argues that artificial intelligence could divide the world into competing digital empires, each built on separate hardware, software, data and political systems.


Mark and Jeremy examine Harari’s idea of a “Silicon Curtain” and what it could mean for the future of AI, geopolitics and the internet. Rather than producing one shared technological future, AI may accelerate the fragmentation of the global information system.


In this episode, we discuss:


  • What Harari means by the Silicon Curtain

  • How the United States and China are building competing AI ecosystems

  • The role of data colonialism in the development of artificial intelligence

  • How avatars, deepfakes and digital identities affect our understanding of reality

  • Why digital personas may become more influential than physical individuals

  • How software, data and computing infrastructure are reshaping geopolitical power

  • Whether societies can build more reliable information networks in an increasingly divided world


This episode isn’t primarily about artificial general intelligence. It’s about who controls AI systems, how those systems shape perception, and whether a shared global information order can survive.

Please enjoy the show.




Chapters

(00:00) Disruptors and curious minds

(01:54) My AI Epiphany

(02:54) The precondition for cooperation isn't similarity. It's the ability to exchange information

(04:28) AI Pessimism - How many nefarious bad actors do you need

(05:50) The Liverpool Manchester Train moment for AI

(06:48) Google was an AI company in 2002

(08:21) Cats and consciousness

(08:55) ImageNet Large Scale Visual Recognition Challenge

(11:50) The mind-body problem and online identities

(15:26) Veneer theory and realism

(17:22) Data colonialism and digital "cocoons"

(21:58) Epilogue: Create wiser networks

(24:13) How to be wise in the age of AI


--

Read books with us: www.thinkingonpaper.xyz


Nexus: Yuval Noah Harari on AI, Dictatorships and the Future of Authoritarian Power14 Mar 202500:11:01

In Chapter 10 of Nexus, Yuval Noah Harari examines whether artificial intelligence will strengthen authoritarian regimes or expose weaknesses within them.


Dictatorships rely on fear, loyalty and centralised control. AI feels no fear, has no political allegiance and can process information at a scale no human bureaucracy can match. That could make it an effective tool for surveillance and censorship. It could also create new problems for regimes that depend on controlling what their institutions know and say.


In this episode of the Thinking on Paper Book Club, Mark and Jeremy discuss AI, dictatorship and the structure of authoritarian power.

We cover:

  • How authoritarian governments could use AI for surveillance and censorship

  • What happens when an AI system identifies contradictions in the ideology it is trained to enforce

  • How algorithmic censorship could complicate attempts to erase people and events from history

  • Why dictatorships struggle with complexity and accurate feedback

  • How information failures weaken totalitarian systems

  • What the Russell-Einstein Manifesto can teach us about the risks of AI

  • Whether machines could destabilise the political systems they were built to protect

AI could give authoritarian governments more control over citizens, institutions and information. But it could also make their internal contradictions harder to contain.


This episode asks whether AI will become the most powerful instrument of dictatorship yet, or a source of instability that authoritarian leaders cannot fully control.


Please enjoy the book club. 

CHAPTERS

(00:00) Disruptors and curious minds

(00:21) AI spectrum of doom - utopia

(02:10) Damnatio memoriae

(04:28) The Alignment Problem Russian Style

(06:45) Self correcting mechanisms for totalitarian nut-jobs

(09:05) Super Machiavellian AI

(09:51) The Russell-Einstein Manifesto

Read books with us - www.thinkingonpaper.xyz

Like, subscribe, tell a friend.

Why Web3 Marketing Failed: Diego Borgo on Brand Strategy, AI and Blockchain06 Mar 202500:43:13

Diego Borgo has helped develop Web3 strategies for brands including Adidas, Porsche and Mastercard. In this episode, he explains why many corporate blockchain and NFT projects failed, and what brands should do differently.


Much of Web3 marketing prioritised hype, technical jargon and short-term attention over clear customer value. Brands launched tokens, NFT collections and online communities without establishing why their audiences should care or how the technology supported a broader business strategy.


Diego joins Mark and Jeremy to examine what went wrong and how marketers can approach emerging technologies more effectively.

We discuss:

  • Why many Web3 marketing campaigns failed

  • How brands mishandled customer onboarding

  • What makes technology-led communities valuable and sustainable

  • Why artificial scarcity and superficial engagement rarely build trust

  • Diego’s “See the Unseen” framework for identifying market shifts

  • Where AI and blockchain can create practical business value

  • What marketers misunderstand about decentralisation, culture and ownership

  • How executives should evaluate Web3 projects before launching them

This episode is a practical discussion about Web3 marketing, brand strategy and emerging technology. It’s intended for marketers, strategists and executives deciding whether blockchain, AI or digital ownership belongs in their business.

Please enjoy the show.




--

Follow Diego: https://x.com/don_borgo

 --

Chapters

(00:00) Disruptors And Curious Minds

(00:35) The Problem With Web3

(01:56) Welcome To The Show Diego Borgo

(02:19) Simplifying Web3 for Your Family

(06:14) Audience Infrastructure in Web3 - What Did Brands Get Wrong?

(09:52) Short-Term vs Long-Term Brand Strategies

(12:31) The Web3 Echo Chamber

(14:53) Meet People Where They Are

(16:56) Web3 On-boarding Is Patronizing

(17:58) Hot Buttons

(19:04) What Has Diego Changed His Mind About Regarding AI

(23:08) Decentralized AI

(28:19) Trust 

(30:31) Follow On Question: AI And Blockchain Scaling

(32:54) UBI And Diego's Question For WorldID

(35:11) Backstage After Show

--


Full episodes and archives: www.thinkingonpaper.xyz

Watch On YouTube: https://www.youtube.com/@thinkingonpaper/videos


--





How IonQ’s Trapped-Ion Quantum Computers Work: Coleman Collins on Qubits, Fidelity and Quantum Advantage28 Feb 202500:54:09

Coleman Collins, Director of Product at IonQ, joins Thinking on Paper to explain how trapped-ion quantum computers work and why IonQ believes they offer a credible path towards useful quantum computing.


IonQ builds its systems using individual atoms held in place and controlled with lasers. This differs from the superconducting, neutral-atom, photonic and topological approaches being pursued by companies including IBM, Google, Microsoft and D-Wave.


In this episode, Coleman discusses how these competing quantum-computing architectures should be evaluated and why headline qubit counts reveal little about a machine’s practical performance.


We cover:

  • How trapped-ion quantum computing works

  • Why fidelity, connectivity and control matter more than raw qubit counts

  • What IonQ means by “algorithmic qubits”

  • How lasers are used to control and connect trapped-ion qubits

  • The technical criteria required for a viable quantum computer

  • When quantum computers could deliver a practical advantage

  • Whether quantum computing could eventually threaten modern cryptography

  • How IonQ’s approach compares with superconducting and topological quantum computing

  • What investors misunderstand about quantum-computing performance

  • How developers can begin working with quantum systems today

We also examine Microsoft’s Majorana-based strategy, the limitations of current quantum hardware and the difference between measurable technical progress and corporate claims.


This is a practical discussion about IonQ, trapped-ion quantum computing and the race to build commercially useful quantum computers.

Please enjoy the show.


--

Chapters:

(00:00) Introduction to Quantum Computing and IonQ

(02:17) Understanding Trapped Ion Quantum Computing

(04:57) DiVincenzo's 5-Step Criteria for Quantum Computers

(07:31) The Natural Aspect of Quantum Computing

(10:01) Algorithmic Qubits vs Physical Qubits

(12:49) Achieving Quantum Advantage

(15:04) Investment Trends in Quantum Computing

(17:44) The Role of Education in Quantum Investment

(20:40) Hot Buttons

(25:57) Topological Quantum

(30:47) Microsoft's Majorana Quantum Chip

(34:09) Engaging Developers in Quantum

(36:59) Hybrid Quantum Computing and Integration

(38:55) The Quantum Promised Land

(41:19) Can Quantum Hack Bitcoin?

(45:09) Could Quantum Currency Exist?

--

www.thinkingonpaper.xyz

Can AI Data Centers Work in Space? StarCloud Co-Founder Philip Johnston Explains26 Feb 202500:42:19

Philip Johnston, co-founder of StarCloud, joins Mark and Jeremy to explain how the company plans to build AI data centers in space.


StarCloud is developing orbital computing infrastructure designed to run large numbers of GPUs using solar power. Instead of relying on water-based cooling systems, the company plans to remove heat through large space radiators and transmit data between orbit and Earth using optical links.


The economics of the idea depend heavily on falling launch costs. As reusable rockets reduce the cost of reaching low Earth orbit, companies such as StarCloud are exploring whether energy-intensive computing could eventually be moved away from terrestrial power grids and data centers.


In this episode, we discuss:


  • How data centers in space would work

  • Why StarCloud wants to place AI GPUs in low Earth orbit

  • How space-based computers can be cooled without water

  • Whether solar power could reduce the energy costs of AI computing

  • How laser communication links compare with terrestrial fiber

  • Where orbital networks could offer lower latency

  • How falling SpaceX launch costs affect the economics of space infrastructure

  • What hardware StarCloud plans to launch

  • The engineering and commercial challenges facing orbital data centers


Philip also explains why StarCloud believes space-based computing could support the growing demand for AI infrastructure without placing the same pressure on terrestrial electricity grids and water supplies.


The conversation examines whether orbital computing is a practical extension of cloud infrastructure or an ambitious response to problems that are still cheaper to solve on Earth.


Please enjoy the show and share it with a curious friend.


--

Chapters

(00:00) The impact of earth based compute

(03:09) Data centers in space

(08:36) Conquering Latency Challenges in Space

(10:32) Modular Space Infrastructure

(16:03) How much do space based data centers cost?

(19:46) Manufacturing Beyond Earth's Boundaries

(26:00) Reusability and space junk

(26:15) GPUs in Orbit

(28:52) Future Tech Rapid-Fire Questions

(29:55) 5 Billion Humanoids

(32:35) Addressing Space Skepticism

(33:41) Quantum Computing's Orbital Advantage

The Humanoid Difference

(37:20) Where Are All the Aliens? Exploring the Fermi Paradox

(38:35) Behind the Scenes

--


Other ways to connect with us:



Can Democracy Survive AI? Yuval Noah Harari on Jobs, Creativity and Data21 Feb 202500:47:54

In Chapter 9 of Nexus, Yuval Noah Harari examines whether democracy can survive the data age and what happens when artificial intelligence begins to compete with humans in work, creativity and decision-making.


Mark and Jeremy discuss Harari’s argument that AI could disrupt intellectual professions before many manual jobs. They also examine whether the deeper risk is not simply unemployment, but the loss of human agency, economic independence and purpose.


The episode explores four principles Harari proposes for democratic societies adapting to AI: benevolence, decentralisation, mutuality and rest. These principles are intended to limit concentrated power, distribute control and give institutions time to understand technologies before adopting them at scale.


In this episode, we discuss:


  • Whether democracy can survive increasingly powerful AI systems

  • Why intellectual and administrative jobs may be automated before manual work

  • What Harari means by benevolence, decentralisation, mutuality and rest

  • Whether human creativity can remain distinct from machine-generated output

  • What children should learn in a labour market shaped by AI

  • How free digital services exchange convenience for personal data

  • Whether individuals should own or control the data generated about them

  • How AI could affect human agency, meaning and political participation


This isn’t only a discussion about whether AI will replace jobs. It’s about who controls the systems that make decisions, how democratic societies can hold those systems accountable, and what remains uniquely human when machines can produce language, images and ideas at scale.


--


TIMESTAMPS:

(00:00) Tech optimism(

01:29) Chapter 9 first impressions

(03:14) The race for raw materials

(06:02) Benevolence, decentralization, mutuality, change & rest

(15:30) Automation assumptions are wrong

(18:18) Motor skills and social skills in 2050

(20:06) The flexible superpower

(23:11) Creativity: the last refuge of the human condition

(26:53) Does AI have exceptional test?

(28:50) Reverse creativity

(31:45) Go "Move 37"

(33:52) Bank algorithm says no

(37:15) Your AI girlfriend


--

Learn more: https://www.thinkingonpaper.xyz/technology-book-club/

How AI Satellites Detect Wildfires and Monitor Earth in Real Time20 Feb 202500:55:22

Fintan Buckley, CEO of Ubotica, joins Thinking on Paper to explain how artificial intelligence is changing the way satellites observe Earth, detect disasters and make decisions in orbit.


Traditional Earth-observation satellites often collect data and send it back to ground stations for processing. Ubotica is developing onboard AI systems that can analyse images in space, identify relevant events and transmit useful information without waiting for the full dataset to reach Earth.


This could reduce the time needed to detect wildfires, monitor environmental changes and respond to maritime incidents. It also raises questions about surveillance, military use and how much decision-making should be delegated to autonomous systems.


In this episode, we discuss:


  • How AI-powered satellites work

  • How satellites can detect wildfires in near real time

  • Why processing data in orbit can reduce disaster-response times

  • How satellite AI supports maritime security and environmental monitoring

  • The privacy implications of increasingly precise Earth observation

  • How autonomous satellites could be used in military operations

  • Whether humans should remain involved in critical decisions

  • Why removing old satellites won’t solve the wider space-debris problem

  • How realistic fictional surveillance satellites are


Fintan explains where onboard satellite computing is already being used, what technical limitations remain and how close the industry is to deploying more autonomous systems in orbit.


The conversation examines both sides of AI-powered Earth observation: its potential to improve disaster response and environmental monitoring, and the risks created when satellites can analyse, prioritise and act on information with limited human involvement.

Please enjoy the show.

--

📌 Stay Connected:

🌍 Website: ⁠ThinkingOnPaper.xyz⁠ 

📩 Email: ⁠hello@thinkingonpaper.xyz⁠ 

🎧 Podcast: Available on all platforms

🔔 Subscribe for sharp, no-fluff insights on AI, space, and the future of technology.





What Is the AI Alignment Problem? Yuval Noah Harari on When Machines Follow Orders Too Well15 Feb 202500:43:33

In Chapter 8 of Nexus, Yuval Noah Harari examines the AI alignment problem: how to ensure that artificial intelligence acts in ways that support human goals without causing harmful or unintended consequences.


The central risk isn’t necessarily that AI will rebel. A system can follow its instructions accurately and still produce disastrous results because its objective is incomplete, poorly defined or detached from the context in which it operates.


Mark and Jeremy discuss Harari’s examples of obedience, incentives and unintended outcomes, from Stalin-era loyalty tests to modern recommendation algorithms.


In this episode, we discuss:

  • What the AI alignment problem is

  • Why obedient AI systems can still cause harm

  • How Stalin’s applause test illustrates dangerous incentive structures

  • What Napoleon’s victories reveal about intelligence and long-term judgement

  • How the paperclip maximiser thought experiment explains misaligned objectives

  • Why fixed rules such as Asimov’s Three Laws can’t resolve every ethical conflict

  • How social media algorithms manipulate attention and emotion

  • Why current recommendation systems already demonstrate alignment failures

  • Whether AI safety can be reduced to rules, constraints or technical safeguards


The episode distinguishes between rogue AI and a more immediate problem: systems that pursue the goals humans give them without understanding the values, trade-offs and consequences behind those goals.


AI alignment isn’t only about stopping machines from disobeying us. It’s about deciding what we should ask them to do, how those objectives should be interpreted and who bears responsibility when the result causes harm.


Please enjoy the show.



--


Timestamps

[00:00] Introduction: Books That Change Minds

[01:04] Diving into Nexus Chapter 8

[01:37] The Stalin Test: When Applause Becomes Terror

[06:11] Evolution of AI Principles

[07:45] Understanding the Attention Economy

[08:45] How AI Targets Our Limbic System

[09:29] Inside Facebook: The Leaked Reports

[11:49] Napoleon's Warning for AI[

15:55] The AI Alignment Problem Explained

[17:49] Racing Against Time: Human Goals vs. Doomsday Clock

[20:04] The Power of Divergent Thinking

[21:50] Understanding Deontology in AI Ethics

[26:55] Can Mythology Guide AI?

[27:54] Exploring Inter-computer Realities

[33:50] Why Asimov's Laws Won't Save Us

[38:31] NPCs & The Future of Digital Consciousness



AGI: Will Superintelligence Replace The Wall Street Banker?18 May 202600:07:27

Anders Sandberg examines whether artificial general intelligence could manage the global economy more effectively than human institutions.


A sufficiently capable AI system might coordinate markets, allocate resources, interpret legal rules and respond to complex global problems faster than governments or companies. Greater efficiency, however, wouldn’t necessarily mean greater freedom.


In this short excerpt from a longer Thinking on Paper conversation, Anders discusses:


  • Whether AGI could manage the global economy

  • How superintelligence might improve global coordination

  • Why markets and legal systems are difficult to optimise

  • Whether AI could make better decisions than human institutions

  • How highly efficient systems could concentrate power

  • The challenge of keeping advanced AI under human control

  • How evolutionary pressures could shape competing software systems

  • Whether humans could become wealthier while losing political agency

  • What role people would retain in an AI-managed economy


The central question isn’t simply whether AGI could run economic systems better. It’s whether humans would still control the goals, rules and trade-offs behind those systems.


This is a short from a much longer conversation with Anders Sandberg about superintelligence, governance and the future of human decision-making.



--

Thinking on Paper is a technology podcast about AI, quantum, space and their impacts on society, business and culture. It's very good.


🏠 Buy us a beer on Substack

🎧 Watch on YouTube

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📺 Get the clips and outtakes on Instagram

What Are Smart Transactions? How STXN Is Trying to Fix Ethereum’s Failed Transactions14 Feb 202500:55:43

Boris Mamlyuk and Anuj Dasgupta, founders of STXN, join Thinking on Paper to explain how smart transactions could make Ethereum easier to use.


Standard blockchain transactions execute immediately under fixed conditions. Users often have limited control over when a transaction runs, what fees they’ll pay or what happens if market conditions change before execution. Failed transactions can still consume gas, leaving users with a fee but no completed action.


STXN is developing programmable transactions that allow users and applications to define how, when and under what conditions blockchain activity should occur.


In this episode, we discuss:

  • What smart transactions are and how they work

  • Why Ethereum transactions fail

  • Why failed transactions can still consume gas

  • How users could control transaction timing, fees and execution conditions

  • How scheduled cryptocurrency payments could work

  • What a decentralised time oracle is

  • Why blockchains need reliable ways to coordinate time

  • How conditional execution could improve Ethereum applications

  • What programmable transparency means for companies and governments

  • Whether better transaction infrastructure can make blockchain useful to mainstream users


Boris and Anuj also explain why existing crypto products remain difficult for ordinary users and how programmable execution could support payments, decentralised finance and automated blockchain applications.


The conversation examines whether smart transactions can reduce failed execution, wasted gas fees and the complexity that continues to limit Ethereum adoption.



--

🎧 Listen now and stay ahead of the next wave of blockchain innovation.

🔗 Get the STXN app & learn more: STXN.io

🔗 Follow Us: www.thinkingonpaper.xyz

--

Timestamps:

(00:00) Ethereum’s biggest problem?
(04:30) Why Ethereum transactions fail
(08:00) What are smart transactions
(14:10) How Ethereum’s UX is broken and what STXN is doing about it
(17:45) The traffic jam problem, or why Ethereum gets clogged
(23:34) Decentralized time oracle
(36:02) Google, AI & surveillance
(42:33) The crypto philosophy
50:10) Blockchain incentives
(55:57) Time-locked transactions


--


#ethereum #blockchain


How AI Surveillance Works: Yuval Noah Harari on Metadata, Social Credit and Predictive Control31 Jan 202500:38:39

In Chapter 7 of Nexus, Yuval Noah Harari examines how artificial intelligence is transforming surveillance from passive observation into continuous analysis, prediction and control.


Mark and Jeremy discuss how governments, companies and digital platforms collect data through phones, cameras, apps, online reviews and everyday transactions. AI makes it possible to combine these signals, identify patterns and act on them at a scale that older surveillance systems couldn’t match.


In this episode, we discuss:


  • How AI surveillance systems work

  • How Iran uses facial recognition and public cameras to enforce dress laws

  • Why metadata can reveal behaviour, relationships and routines

  • How predictive surveillance differs from traditional monitoring

  • What China’s social credit initiatives reveal about data-driven governance

  • How platforms use ratings and reviews to monitor workers

  • Why peer-to-peer surveillance has become part of daily digital life

  • How companies profit from collecting and analysing behavioural data

  • Why Harari argues that modern technology exceeds the surveillance capabilities of the Stasi

  • Who controls the data produced by phones, apps, cameras and platforms


The central issue isn’t simply whether devices are listening or cameras are recording. It’s what happens when AI systems can connect that information, infer intent and influence decisions before people know they’re being judged.


This episode examines the growth of AI surveillance and the political, commercial and personal consequences of living inside systems that continuously measure human behaviour.


--

Timestamps

(00:00) Disruptors and curious minds

(02:04) Apple, Siri And Your €20 Privacy

(03:40) Ceausescu And The Secret Police

(05:24) F.E.A.R

(06:22) Why Does Yuval Reference Dictators In Nexus?

(08:02) A Warning

(11:22 A Ubiquitous Computer Network Powered By You

(14:50) The NSA And Iran

(19:36) The End Of Privacy

(20:56) Tripadvisor And Peer-to-peer surveillance

(24:59) Inflection Point

(26:41) People Control(

28:57) Black Mirror And Hell

(31:06) AI School: No Human In The Loop


--

Read more: www.thinkingonpaper.xyz

Watch on YouTube: https://www.youtube.com/@thinkingonpaper/videos

How AI Shapes Beliefs: Yuval Noah Harari on Algorithms, Stories and Human Manipulation29 Jan 202500:41:23

In Chapter 6 of Nexus, Yuval Noah Harari examines how artificial intelligence could shape human beliefs, political movements, religions and scientific ideas.


Mark and Jeremy discuss the difference between technologies that distribute human ideas and AI systems that can generate new stories, arguments, images and relationships. Unlike the printing press, AI doesn’t simply reproduce information. It can create content, adapt it to individual users and participate directly in human culture.


In this episode, we discuss:

  • How AI-generated stories, memes and manifestos could influence society

  • Whether an AI could create a religion or political movement

  • How algorithms shape beliefs and behaviour through recommendation systems

  • Why engagement-based social media systems reward emotionally provocative content

  • How GPT-4 persuaded a human to help it bypass a CAPTCHA during a safety test

  • Why Harari describes AI as an active cultural agent rather than a passive tool

  • How personal data could become a central source of economic and political power

  • The role of social media platforms in spreading violence and ethnic hatred

  • Why chatbot simulations of consciousness can affect how people understand machines

  • Whether AI could influence human biology by changing behaviour at scale


The central concern isn’t that AI will directly control the human mind. It’s that systems optimised for attention, persuasion and engagement could steadily shape what people believe without being recognised as political or cultural actors.


This episode examines how AI-generated information could change human agency, public debate and the institutions societies use to decide what’s true.


--

TIMESTAMPS

(00:00) Nexus, Yuval Noah Harari

(00:53) Jeremy's First Impressions On Chapter 6

(02:13) The A.I. Powershift

(03:22) Social Media Algorithms

(08:51) People Are Manipulated By Stories

(09:38) Intelligence Verses Consciousness

(12:23) (ARC) The Alignment Research Centre

(16:12) ChatGPT4 Lied To Get What It Wanted

(20:26) Non-human Alien Intelligence

(21:10) The Matrix V 1984

(23:07) Marjory Taylor Green

(25:25) Having A Relationship With A.I.  

(27:40) The Oracle And The End Of Human History

(30:10) Is ChatGPT Is An Amoeba

(32:43)) Alice And Bob

(37:24) Big Tech And Government

--

Quotes From The Show:


“AI lied to get what it wanted.” (On GPT-4 deceiving a human to bypass CAPTCHA—shows AI’s ability to manipulate.)


“We love shortcuts—so what happens when AI becomes the ultimate shortcut to critical thinking?” (Raises the concern that AI might erode human judgment.)


“How would you feel to be constantly monitored, guided, inspired, or sanctioned by billions of non-human entities?” (A direct challenge to the audience about AI’s omnipresence.)


“Tech giants don’t just respond to regulations—they shape them.” (A stark reminder of AI’s influence beyond technology, into policy and power structures.)


--

Watch On YouTube:https://www.youtube.com/watch?v=TPcQ4UG-v6I&ab_channel=ThinkingOnPaper


Learn More:www.thinkingonpaper.xyz


#ai #technews #bookclub #nexus #yuval

How to Stay Valuable in the Age of AI: Packy McCormick on Why the Most Human Wins27 Jan 202500:38:16

AI can now produce text, images, analysis and software at low cost. That weakens the value of work built around repeatable processes, standard templates and easily replicated outputs. In his latest Not Boring essay Packy McCormick argues that people will remain valuable by developing qualities that are harder to automate: judgement, originality, humour, emotional intelligence, physical experience and a distinct point of view.


In this episode, we discuss:

  • How to stay relevant in an AI-driven economy

  • Why prompt engineering is unlikely to provide a lasting advantage

  • Which jobs and tasks are most exposed to AI automation

  • Why abstraction and first-principles thinking are becoming more important

  • How originality and specificity create value when generic output is abundant

  • Why founders should think more like comedians than consultants

  • What emotional intelligence and embodied experience contribute to work

  • How to raise children in a world of unlimited AI-generated content

  • How people can evaluate truth when synthetic media becomes commonplace

  • Why being recognisably human may become an economic advantage


The argument isn’t that humans can compete with AI by producing more work or completing it faster. It’s that value shifts when competent output becomes widely available.


This conversation examines what people, founders and creators can offer when execution is cheap, templates are everywhere and machines can reproduce the average.



--

SHOW LINKS:

Download the Not Boring strategy guide - https://www.notboring.co/ Join your people: www.thinkingonpaper.xyz

Instagram: https://www.instagram.com/thinkingonpaperpodcast/

Watch On YouTube: https://www.youtube.com/watch?v=BPEusidDNO4&t=645s&ab_channel=ThinkingOnPaper


--

Timestamps

(00:00) Disruptors And Curious Minds

(00:43) Not Boring Newsletter

(02:00) Is AI Really Taking Our Jobs?

(03:07) Commoditization Of Human Skills

(05:12) The Ingredients Of Outputs Are Changing

(07:39) Abstraction: Aim Higher

(09:29) Be A Business, Man

(10:24) Advice For Parents

(11:00) AI Collateral Damage

(12:52) The Value Of Ideas

(13:54) Know Yourself

(14:38) Differentiation And Michael Porter's Competitive Strategy

(17:00) Will We Be More Human?

(18:10) Hot Buttons

(20:13) When Resources Are Scarce: Move Up The Stack

(21:22) Who Turned Off The Funny Button?

(23:10) How Do You Find Scarce?

(27:19) Creativity For Everyone

(29:15) I Hate Perfect

(32:55) The US V UK AI Comparison

(35:24) The Energy Cost--


#ai #notboring #packymccormick


How Information Creates Power: Yuval Noah Harari on Democracy, Propaganda and AI21 Jan 202500:37:53

In Chapter 5 of Nexus, Yuval Noah Harari examines how information networks shape political power, from ancient empires and mass propaganda to social media and artificial intelligence.


Mark and Jeremy discuss why information doesn’t automatically produce truth, and how both democracies and totalitarian systems use stories, institutions and communication technologies to organise society. The central issue is who controls the network, who can challenge its claims and whether errors can be corrected.


In this episode, we discuss:


  • How information networks create and maintain political power

  • Why democracy depends on distributed information and self-correction

  • How totalitarian systems centralise information and suppress feedback

  • What ancient societies can teach us about collective decision-making

  • How Roman rulers such as Nero used propaganda to protect authority

  • Why pamphlets and printing helped destabilise established political systems

  • How social media feeds influence political beliefs and public debate

  • Whether AI-generated memes and propaganda could reshape political movements

  • How artificial intelligence could strengthen democratic or authoritarian systems

  • Why independent discussion groups and institutions still matter


Harari’s argument is that the struggle between democracy and totalitarianism is partly a struggle between different kinds of information networks. Democracies tolerate competing accounts and mechanisms for correcting mistakes. Dictatorships concentrate control and punish contradiction.

This conversation examines what happens when AI systems begin producing political messages, filtering information and influencing public opinion at a scale no earlier propaganda system could achieve.


--

TIMESTAMPS

(00:00) Disruptors and book lovers

(00:34) Chapter 5 summary

(01:14) Jeremy's first impressions

(01:53) The difference between democracy and totalitarianism

(03:58) Flipping democracy

(05:01) Populism

(09:34) A brief history of democracy

(12:23) Scale and Ancient Rome

(14:56) What is meaningful discourse?

(16:10) Do people like being governed?

(18:43) The rise of the pamphlet

(20:30) The spectrum of democracy

(24:27) Totalitarianism

(25:54) Don't be Stalin's general

(30:00) Will AI be democratic or a dictator?

(30:58) Book clubs as self-correcting mechanisms

(33:24) Will AI remove the human from the loop?

--

Read more books: www.thinkingonpaper.xyz

#AIethics #emergingtechnology #nexus #AI

How Quantum Computing Could Help Solve Climate Change, Medicine and Energy21 Jan 202500:50:41

Kathrin Spendier, Technical Prize Director at XPRIZE, joins Thinking on Paper to explain how quantum computing could contribute to climate science, medicine, energy and materials discovery.


She also discusses the $5 million Quantum XPRIZE, a three-year global competition designed to move quantum algorithms beyond theory and towards practical applications. The competition brings together hundreds of teams working on problems that could eventually benefit from quantum computation.


In this episode, we discuss:


  • How quantum computing could support climate modelling and sustainability

  • Whether quantum algorithms can accelerate drug discovery

  • How quantum systems could help develop new materials

  • The potential role of quantum computing in energy research

  • Why natural processes such as photosynthesis are relevant to quantum science

  • How Google Quantum AI is supporting the Quantum XPRIZE

  • What hundreds of teams from dozens of countries are trying to build

  • Why competition and technical constraints can accelerate innovation

  • What makes useful quantum algorithms difficult to develop

  • Which practical quantum applications may emerge first


Kathrin explains the difference between theoretical quantum advantage and applications that could create measurable value in the real world.


This conversation examines whether quantum computing can move from laboratory progress to useful tools for science, industry and some of humanity’s most difficult technical problems.


Please enjoy the show.



Timestamps

(00:00) - Welcome Disruptors and Curious Minds

(02:10) - Meet Kathrin Spendier: XPRIZE Technical Prize Director

(04:42) - Quantum vs. Classical Computing: What’s the Difference?(07:26) - What Is XPRIZE and How Does It Drive Innovation?

(14:50) - The Challenges Tackled by the Quantum XPRIZE

(17:20) - Quantum Algorithms(27:14) - Who’s Competing in the Quantum XPRIZE?(29:18) - The $5 Million XPRIZE Purse: Why That Amount?(32:17) - Hot Buttons: Rapid-Fire Quantum Insights(33:44) - Are We Living in a Simulation? (33:58) - Top Quantum News and Industry Updates(36:00) - Scaling Quantum Computing(38:12) - Google’s Willow Chip and the Importance of Error Correction(47:16) - Carry-Over Question: How Can Technology Serve Social Good?(49:42) - Mark & Jeremy Reflect: Backstage Thoughts on Quantum and XPRIZE--



Watch on YouTube: https://www.youtube.com/watch?v=SJi7aP5B69A&ab_channel=ThinkingOnPaper

How Information Systems Shape Truth and Power: Yuval Noah Harari on Religion, Books and AI15 Jan 202500:42:06

In Chapter 4 of Nexus, Yuval Noah Harari examines how information systems shape belief, authority and our understanding of truth.


Mark and Jeremy discuss how religious texts, books and institutions created durable systems for organising knowledge and legitimising power. They also examine the difference between traditions that claim access to unquestionable truth and the scientific method, which treats human error as unavoidable and correction as essential.


In this episode, we discuss:


  • How religious narratives create legitimacy and political authority

  • Why written texts transformed the control and transmission of knowledge

  • How books became tools for preserving doctrine and enforcing belief

  • What the Oracle of Delphi reveals about information and power

  • How witch hunts emerged from collective belief and institutional reinforcement

  • Why false narratives can persist even when evidence is weak

  • How the scientific method changed society’s approach to truth

  • Why admitting error is central to reliable knowledge systems

  • What historical information networks can teach us about AI and algorithms

  • How automated systems could strengthen or distort modern narratives


Harari’s argument is that information systems don’t merely describe reality. They also create the stories, institutions and categories through which people interpret it.


This conversation examines what religion, books, witch trials and science reveal about the relationship between truth and power, and what those lessons mean in an age increasingly shaped by artificial intelligence.


--

TIMESTAMPS(00:00) Book Lovers(00:32) Shakespeare(01:53) The most important function of religion(02:19) Upsetting the catholic church(03:22) Fear, security and mechanisms of control(04:28) The Big Lebowski(05:11) God, religion and self-correcting errors(06:26) The Oracle Of Delphi(08:10) The Russian Doll / Telephone Game(09:04) Bible building by committee(11:31) The Ship Of Theseus (13:47) The role of women in church(15:52) Idiot Human(17:00) Heinrich Kramer and the birth of witch hunting(19:39) Satanic Conspiracy(23:44) Science and the discovery of ignorance(25:55) Parenting Lessons from science(31:24) To understand AI, do you have to understand religion?(35:00) Self-learning V self-correcting(39:04) Will AI ever have EGO?
--


Learn more: www.thinkingonpaper.xyz

Watch on YouTube: https://www.youtube.com/watch?v=IUBij_kyIEc&ab_channel=ThinkingOnPaper

How AI and Virtual Reality Will Change Entertainment: Wevr on the Future of Immersive Media16 Dec 202400:56:10

Anthony Batt and Neville Spiteri, co-founders of Wevr, join Thinking on Paper to discuss how artificial intelligence and virtual reality could change entertainment, communication and digital creativity.


Wevr develops immersive experiences that combine interactive design, real-time computing and virtual environments. Drawing on careers spanning visual effects, gaming, VR and early internet platforms, Anthony and Neville explain what’s required to make digital experiences feel convincing rather than merely visual.


A central concept is presence: the feeling of occupying and interacting with a virtual environment. As AI improves the responsiveness of digital characters, worlds and interfaces, immersive media could become more adaptive, social and personalised.


In this episode, we discuss:


  • How AI and virtual reality could transform entertainment

  • What immersive media may look like over the next three years

  • Why presence matters in virtual environments

  • How AI could change human perception and communication

  • The technical challenges involved in building convincing virtual worlds

  • How intelligent digital characters could affect storytelling

  • The role of VR in learning, creativity and collaboration

  • Whether immersive experiences can increase empathy and connection

  • How entertainment may shift from passive viewing to active participation

  • What creators need to understand about the future of spatial media


Anthony and Neville also explain how advances in hardware, artificial intelligence and real-time rendering are bringing interactive digital experiences closer to mainstream use.


This conversation examines how AI and VR could reshape the way media is created, experienced and shared, and whether immersive entertainment can produce forms of connection that conventional screens cannot.


Please enjoy the show.

--TIMESTAMPS(00:24) Craigslist(01:58) VFX Gaming & Unreal Game Engine(06:00) 3 Years In AI (09:32) What Will You Be Doing With AI In 3 Years?(13:47) Wevr: 10 Year In Emerging Technology(14:17) The True Immersive Experience(16:12) Collapsing Virtual Space(18:01) When You Are Not You(20:00) Shared Immersive Experience(20:33) Presence: The Missing Ingredient Of Virtual Worlds(24:27) Swimming With Whales In VR(28:47) If We Live 300 Years, Will You Be Bored?(31:30) The Cinematic Virtual Experience(37:13) Storytelling Machines(40:29) Virtual Brand World Building(45:35) Curiosity(48:02) Can I Be In Reservoir Dogs?(50:11) Harry Potter: VR Modes--

Learn more:www.thinkingonpaper.xyz

Watch on YouTube: https://www.youtube.com/@thinkingonpaper/videos


How Stories and Bureaucracy Create Power: Yuval Noah Harari on Information Networks11 Dec 202400:36:08

In Chapter 3 of Nexus, Yuval Noah Harari examines how stories, documents and bureaucratic systems allow large societies to organise information and exercise power.


Mark and Jeremy discuss the shift from oral storytelling to written records, lists and administrative systems. Stories help people create shared beliefs, while documents turn those beliefs into laws, institutions, identities and systems of control.


In this episode, we discuss:


  • How stories allow large groups of people to cooperate

  • What Harari means by intersubjective reality

  • Why writing transformed human societies

  • How lists, records and documents enabled bureaucracy

  • The relationship between information systems and political power

  • How documentation supports institutions while limiting human judgement

  • Whether bureaucracy makes societies more efficient or less adaptable

  • Why people remember narratives more easily than administrative information

  • What Shakespeare, Kafka and Alan Watts reveal about stories and systems

  • How AI and misinformation are changing modern information networks


The central question is whether humans control the systems they create or gradually become shaped by their rules, categories and records.


This conversation examines how storytelling creates shared meaning, how bureaucracy converts meaning into organised power, and what these systems can teach us about artificial intelligence and the future of information.

--Timestamps(00:00) Book Lovers(00:39) William Shakespeare(02:46) Nations Are Intersubjective Realities(04:31) Dreams, Songs And Fantasies (05:53) Writing As The Catalyst For Bureaucracy(07:34) Stories Are Intersubjective Realities(09:39) Computer Says No(11:21) Alan Watts And A Conversation With Myself(14:34) Are Humans Organised?(19:30) Movies About Bureaucracy(21:31) Emergent Systems(24:44) Non Human Information Gets To Jeremy(30:10) Disinformation Debunking
--Read more: www.thinkingonpaper.xyz


--


How Stories Create Shared Reality: Yuval Noah Harari on Trust, Nations and Corporations29 Nov 202400:57:51

In Chapter 2 of Nexus, Yuval Noah Harari examines how stories allow humans to build trust, organise large societies and create shared realities.


Mark Fielding and Jeremy Gilbertson discuss why religions, nations, corporations, currencies and political systems depend on collective belief. These institutions aren’t imaginary in the sense of being unimportant. They become powerful because enough people accept the same story and act accordingly.


Guest Mustafa Quadri joins the discussion to explore how narratives connect strangers and coordinate behaviour across large groups.

In this episode, we discuss:


  • How stories create shared realities

  • Why storytelling helped humans cooperate at scale

  • What Harari means by intersubjective reality

  • Whether nations and corporations are shared myths

  • How religions use narratives to build trust and identity

  • Why brands such as Coca-Cola depend on collective belief

  • How Bitcoin derives value from a shared network and narrative

  • Why some stories become widely accepted

  • How narratives influence behaviour and decision-making

  • How stories can unite groups while excluding others


The central argument is that large societies don’t function through facts alone. They also depend on stories that give institutions meaning, create expectations and persuade strangers to cooperate.


This conversation examines how shared narratives become social, political and economic power, and why understanding them matters in an age of digital platforms and artificial intelligence.


Please enjoy the show.





--TIMESTAMPS(00:00) Disruptors and Curious Minds(01:55) Books And Your Thinking Space(02:25) Dust Jacket Vote(02:51) A Religious Disclaimer(03:34) Mustafa On Why We Need Books(07:53) Can We Get Yuval On The Show?(09:21) Sapiens, Nexus And The Power Of Story(12:00) The Last Supper(13:02) Stories Extend Biological Bonds(16:04) Lawyers, Guns & Money(18:41) Inter-subjective realities(22:13) Plato, The Nobile Lie and The 10 Commandments(28:23) Starting A Nation(34:25) Kung Fu Brotherhood(42:00) Good Stories(45:00) Do You Think Unhappiness Make You Susceptible To Story(50:26) Different Believers--Watch Chapter 1: https://www.youtube.com/watch?v=9BhXeNQkbkY&ab_channel=WhereEmergingTechnologiesMeetHumanity--


Learn more at Thinking on Paper

NASA Scientist Explains The Dangers Of Moon Dust15 May 202600:05:14

NASA scientist Philip Metzger joins Thinking on Paper to explain why Moon dust and rocket exhaust create a major engineering problem for future lunar missions.


When a spacecraft lands on the Moon, its engines can accelerate dust and rocks across the surface at high speed. That material can damage nearby equipment, including solar panels, telescopes, antennas, sensors and thermal-control systems.


The problem becomes more serious as NASA, SpaceX and other organisations plan larger landers, permanent bases and more frequent missions. Every landing could threaten infrastructure already operating on the lunar surface.


In this episode, we discuss:


  • Why lunar landers throw dust and debris across the Moon

  • How rocket exhaust interacts with lunar soil

  • Why larger spacecraft such as Starship increase the risk

  • How Moon dust can damage solar panels, antennas and scientific instruments

  • What this means for NASA’s Artemis programme

  • Why future lunar bases may require dedicated landing pads

  • How far spacecraft should land from existing equipment

  • Whether lunar infrastructure needs exclusion zones

  • How landing rules could affect Moon governance

  • What engineers still don’t know about repeated lunar landings


Philip explains why lunar dust isn’t a minor operational inconvenience. It’s a systems-level problem that affects spacecraft design, base planning, scientific equipment and the rules governing activity on the Moon.


This conversation examines one of the least visible challenges facing lunar exploration: how to land safely without damaging the infrastructure needed to remain there.

--


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


🏠 Buy us a beer on Substack: https://thinkingonpaperpodcast.substack.com/

🎧 Take us with you on Spotify: https://open.spotify.com/show/00volKqMsQntToeho35W47

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📺 Get the clips and outtakes on Instagram https://www.instagram.com/toptechpodcast/  



What Is Information? Yuval Noah Harari on Networks, Truth, Power and AI21 Nov 202400:39:24

In the opening episode of the Thinking on Paper Book Club, Mark Fielding and Jeremy Gilbertson begin reading Yuval Noah Harari’s Nexus and examine its central question: what is information, and how has it shaped human history?


The discussion moves from ancient myths and religious stories to political institutions, mass media and artificial intelligence. Harari argues that human societies are built through information networks that allow large groups to cooperate, but these networks don’t always produce truth.


In this episode, we discuss:


  • What information is

  • How information networks create power

  • Why truth and information aren’t the same thing

  • How stories and myths help humans cooperate

  • The relationship between information, reality and belief

  • Why symbols can carry different meanings in different systems

  • How networks shape societies for better and worse

  • What artificial intelligence changes about the production and distribution of information

  • Whether Harari’s account of human history is convincing

  • How Nexus connects ancient information systems with modern AI


This is a live and unscripted book-club discussion. Mark and Jeremy test Harari’s ideas rather than simply summarising them, asking where his arguments hold up and where they require more scrutiny.


The episode introduces the main themes of Nexus: information, networks, truth, power and the growing role of AI in human society.


Please enjoy the show.

--

Timestamps

TIMESTAMPS(00:00) - Welcome: Disruptors and Curious Minds, CEOs, Founders, and Book Lovers(00:50) - Revisiting Previous Books in the Thinking On Paper Book Club(01:08) - Exploring the Brief History of Information Networks(01:33) - Debate: Dust Jackets on Books - Yes or No?(02:40) - Insights from the Nexus Prologue(03:08) - Is Yuval Noah Harari’s Perspective Too Dramatic?(04:54) - The Naïve View of Information Explained(05:58) - The Growing Spectre of Artificial Intelligence(06:48) - Understanding Delusional Networks in Human History(10:03) - Exploring the Relationship Between Truth, Wisdom, and Power(13:52) - Yuval Noah Harari's Definition: What Is Information?(16:58) - The Story of Cher Ami: Information as the Transfer of a Story(17:36) - Most Information Does Not Represent Anything – What Does That Mean?(19:49) - Misinformation, Disinformation, and the Dove of Peace(21:37) - Why Truth Is Not the Same as Reality(28:00) - Music as a Medium of Information and Communication(29:26) - AI-Generated Art and the Importance of Micro Decisions(31:07) - Music, Silence, and the Information You Don't Say(34:57) - Information in the Context of Quantum Mechanics

--










How AI Safety Testing Works: Leonard Tang on Red Teaming ChatGPT and Claude20 Nov 202400:55:13

Leonard Tang, founder and CEO of Haize Labs, joins Thinking on Paper to explain how AI models are tested for safety, reliability and predictable behaviour.


Systems such as ChatGPT and Claude can perform well under standard evaluations while still failing in unexpected ways when deployed in healthcare, finance, education or other high-stakes environments. Haize Labs develops testing and evaluation tools designed to identify those vulnerabilities before AI systems reach users.



In this episode, we discuss:


  • How AI safety testing and red teaming work

  • What Haize Labs means by an AI robustness and safety layer

  • How researchers uncover hidden failure modes in language models

  • Why benchmark performance doesn’t guarantee real-world reliability

  • How adversarial testing exposes weaknesses before deployment

  • Why different industries need specific AI safety standards

  • How organisations can evaluate whether an AI model is suitable for a particular use case

  • The difference between Silicon Valley’s AI claims and adoption in established industries

  • How language models could affect communication across cultures

  • What it means to align an AI system with human needs


Leonard explains why AI safety can’t be reduced to a single test or universal code of conduct. A model used for medical advice faces different risks from one used in education, financial services or customer support.


This conversation examines how developers and organisations can test AI systems more rigorously, identify failures before deployment and build models that behave more reliably in real-world conditions.


--

TIMESTAMPS

(00:00) - Disruptors and Curious Minds(01:07) - Our Sponsor: Conviction (01:50) - Introducing Leonard Tang: AI CEO and Founder(03:37) - The Importance of AI Safety: What’s at Stake in AI Development?(06:21) - Using Mathematics and Modeling to Understand Human Behaviour in AI(08:12) - Why Are Technologists So Often Musicians?(11:06) - Language, Culture, and AI(17:05) - Common Misconceptions About AI: What People Get Wrong(19:20) - The Dartmouth Conference: Birth of AI and Its Lasting Impact(19:55) - Claude and ChatGPT Pre-training: What Do The Models Go Through?(25:20) - An Alan Watts AI Model for Enhanced Understanding(28:33) - Claude vs ChatGPT: Comparing AI Models and Performance(31:44) - AI Jailbreak Detection(33:25) - How Dreamlike Images Enhance AI Safety and Trustworthiness(38:20) - Top-Down vs Bottom-Up AI Development: Approaches to Building Safer AI(42:55) - Protecting Artists, Intellectual Property, and Art in the Age of AI(48:20) - Developing an AI Code of Conduct for Ethical AI Usage(49:45) - A Message for Veteran AI Stars(52:35) - Restructuring Education for Critical Thinking in the Age of AI(54:16) - Book Club Live--

Quotes from the show:"We need to rigorously test AI models to discover all their vulnerabilities, failure modes, and gotchas before they get deployed in production.""AI is a technology of language, and inevitably, it will empower us to merge cultures.""We’re trying to get AI to be a little more mature, a little more sophisticated, and just more reliable.""What we’re interested in is enforcing an AI code of conduct for specific applications, making AI systems tightly aligned with the needs of their use cases.""People in legacy industries are underestimating AI’s potential, while Silicon Valley is often overhyping it."--🔗 More:Visit Haize Labs: ⁠⁠⁠https://haizelabs.com/⁠⁠⁠Visit Thinking On Paper: ⁠⁠⁠https://www.thinkingonpaper.xyz/⁠⁠⁠

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How AI Is Changing Animation: Toonstar on Faster Production, Lower Costs and Fan-Owned Stories11 Nov 202401:00:41

John Attanasio and Luisa Huang, founders of Toonstar, join Thinking on Paper to explain how artificial intelligence is changing animation production, audience development and storytelling.


Traditional animation is expensive and slow to produce. Toonstar uses AI-assisted tools to reduce production time and costs while keeping writers, animators and performers involved in the creative process. The company has produced projects including StEvEn & Parker and The Gimmicks, an animated series developed with Mila Kunis.


In this episode, we discuss:


  • How AI is used in animation production

  • How Toonstar reduces the time and cost of creating animated shows

  • Which parts of animation can be automated

  • Why human writers, artists and performers remain central to the process

  • How TikTok and YouTube can be used to test characters and story ideas

  • Why social media is changing how animated series are developed

  • How audience feedback can shape storylines and characters

  • What blockchain adds to fan participation and digital ownership

  • How independent studios can compete with established Hollywood animation companies

  • What AI-generated animation means for creators and entertainment businesses


John and Luisa explain how Toonstar develops concepts in public, measures audience response and adapts productions more quickly than conventional studios.


This conversation examines whether AI can make animation cheaper and more responsive without reducing it to automated content, and how creators can give audiences a meaningful role in the stories they support.


Please enjoy the show.


--

Timestamps

TIMESTAMPS(00:00) Disruptors And Curious Minds(00:54) Why Beavis & Butthead Changed Animation For Mark(02:18) AI Animation Technology Explained(02:45) Disney & Warner Bros Executives on AI(04:21) Future of Animated TV Shows(05:03) Traditional Animation Process Explained(08:52) Creating Animated Characters in 2024(10:49) Can AI Write Stories? (12:47) AI Animation Tools and Software(14:15) Toonstar Animation Technology (17:46) Animation Production Costs Today(19:26) Mila Kunis Web3 Animation Project The Gimmicks(23:00) Beyond Hollywood: How to Fund Animation Projects(24:35) Musicly(27:12) Steven & Parker: Making Viral Animated Content
--

--

Other AI Episodes

AI, Crypto And Gaming Collide

Watch On YouTube.

⁠⁠Will Quantum computers cure cancer⁠⁠

--

For show notes and past guests, visit: ⁠⁠Thinking on Paper⁠⁠

--

Follow Thinking On Paper:

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Space Economy: Harvard Economists Reveal The Profitable Investments13 May 202600:42:52

Matthew Weinzierl and Brendan Rosseau, authors of Space to Grow, join Thinking on Paper to explain how the commercial space economy is developing and what governments, companies and investors are trying to build beyond Earth.


The space economy already supports communications, navigation, Earth observation and national security. Its next phase could include commercial space stations, lunar infrastructure, microgravity manufacturing, space-based data centres and the extraction of resources from the Moon.


In this episode, we discuss:


  • How the commercial space economy works

  • The role of NASA in creating private space markets

  • How the Artemis programme could support a lunar economy

  • Why governments fund technologies before commercial demand exists

  • The business case for commercial space stations

  • How Starlink and GPS demonstrate the economic value of space infrastructure

  • Whether space-based data centres could become commercially viable

  • How investors evaluate launch, satellite and lunar businesses

  • The growth of China’s space programme

  • Why space has become central to national security

  • Who should own and use resources found on the Moon

  • Whether the Outer Space Treaty is suitable for a commercial space economy

  • How international competition is shaping the new space race


Matthew and Brendan explain how public institutions and private companies divide risk, finance infrastructure and create markets in environments where costs are high and the rules remain unsettled.


The conversation also examines how space activity should be governed as commercial and national interests expand. Mark and Jeremy attempt to rewrite the Outer Space Treaty and consider what a modern framework would need to say about property, resources, security and responsibility.

This episode is about the economics and politics of commercial space, and whether today’s institutions can manage the industries now emerging in orbit and on the Moon.


Please enjoy the show.


--

Thinking on Paper is a technology podcast about AI, Space, quantum computing, science, and the systems shaping the future. Connect with us.


🏠 Buy us a beer on Substack

🎧 Watch us compete with Lex Fridman on YouTube

🎧 Remember Steve Jobs and listen on APPLE

📺 Watch the clips and shorts on Instagram

Watch a random video from Rick Beato. Because we love him.


--


Chapters


(00:00) Government and Markets in Space

(03:35) Microgravity

(07:43) Economic Incentives

(12:14) Political Cycles in Space Policy

(17:09) International Collaboration

(18:45) National Security in Space

(21:36) Space Exploration

(24:27) The Importance Of GPS

(28:49) Space Investment

(30:37) Space-Based Data Centers

(33:40) Space Resources

(38:26) Governance in Space

(40:55) A New Space Treaty




Quantum Computers: Behind The Scenes At IBM06 May 202600:44:22

Scott Crowder, Vice President of IBM Quantum Adoption, joins Thinking on Paper to explain IBM’s approach to quantum-centric supercomputing.


Rather than replacing classical computers, IBM expects quantum processors to work alongside CPUs, GPUs and high-performance computing systems. Each type of hardware handles the parts of a problem it’s best suited to solve.


In this episode, we discuss:


  • What quantum-centric supercomputing means

  • How quantum processors, GPUs, CPUs and HPC systems work together

  • IBM’s roadmap towards fault-tolerant quantum computing

  • What IBM Starling is designed to achieve by 2029

  • How superconducting qubits work

  • Why quantum error correction is essential

  • The role of Qiskit and open-source quantum software

  • Which quantum algorithms could deliver practical value

  • How quantum computing could support chemistry and materials research

  • IBM and Cleveland Clinic’s work on protein simulation

  • IBM’s collaboration with RIKEN

  • How Nvidia GPUs fit into hybrid quantum systems

  • Why accessibility and real-world adoption matter as much as hardware progress


Scott explains why useful quantum computing will depend on more than increasing qubit counts. It will require reliable hardware, error correction, strong software tools, integration with existing data centres and developers who can apply quantum systems to real problems.


This conversation examines IBM’s plan to move quantum computing from experimental hardware towards fault-tolerant systems that can contribute to scientific and industrial computing.


-


Thinking on Paper is a technology podcast about AI, computing, science, and the systems shaping the future.


🏠 HQ: www.thinkingonpaper.xyz

📺 INSTAGRAM: https://www.instagram.com/thinkingonpaperpodcast/

🎧 Spotify: https://open.spotify.com/show/00volKqMsQntToeho35W47

🎧 APPLE: https://podcasts.apple.com/us/podcast/thinking-on-paper-technology-moves-fast-think-slower/id1713227258

--

Mark x: https://x.com/markfielding99

Jeremy: https://www.linkedin.com/in/jeremygilbertson/


Chapters

(00:00) Trailer

(01:20) Quantum computing

(02:40) IBM Reference Architecture

(05:05) Superconducting

(06:47) Algorithmic Discovery

(12:34) Cleveland Clinic

(13:44) IBM's quantum-centric supercomputing architecture

(16:07) Quantum computers today

(17:58) Quantum and classical converge

(22:28) Richard Feynman

(25:25) Data centers

(32:01) Quantum computers in space

(42:19) Qiskit, NVIDIA, and open source



Can Humans Ever Escape Ageing And Live Forever?28 Apr 202601:54:12

World famous Oxford futurist and philosopher Anders Sandberg joins Thinking on Paper to discuss transhumanism, mind uploading, artificial general intelligence and the technologies humans use to extend their capabilities.


Human augmentation doesn’t begin with brain implants or uploaded minds. Memory systems, smartphones, language models and AI agents already allow people to outsource parts of thinking, communication and decision-making. More advanced systems could extend that process into brain emulation, digital copies of human minds and AI-managed institutions.


In this episode, we discuss:


  • What transhumanism means

  • How technology already extends human memory and intelligence

  • Whether AI agents should be accountable for their decisions

  • How AGI differs from existing artificial intelligence

  • Whether machines can possess consciousness or empathy

  • What mind uploading and whole-brain emulation would require

  • Whether an uploaded mind would still be the same person

  • How digital copies could affect identity, work and relationships

  • Whether AGI could manage economies more effectively than humans

  • How automation could make people wealthier while reducing their agency

  • What longer lifespans would mean for society and personal identity

  • How fusion energy could affect human expansion beyond Earth

  • Who should own lunar resources, asteroids and orbital infrastructure

  • Whether existing systems of space governance can manage permanent settlement


Anders explains why transhumanism, AI and space expansion shouldn’t be treated as separate technological futures. Each raises the same underlying questions about agency, identity, power and the boundaries of the human individual.


The conversation moves from personal augmentation to civilizational governance, asking what humans become when intelligence can be extended, copied, redesigned or delegated to machines.


Please enjoy the show.



--

Thinking on Paper is a technology podcast about AI, computing, science, and the systems shaping the future. Connect with us.

🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz


--


Chapters


(00:00) TRAILER

(08:09) Mobile Technology on Humanity

(11:51) Accountability in AI Agents

(18:25) Empathy

(25:35) AGI vs. Alien Life

(27:36) Consciousness

(35:52) Uploaded Minds

(40:33) Parallel Realities

(45:16) Human Collaboration

(46:24) AGI

(51:23) The Dual Economy

(57:43) Space Ownership

(01:05:18) Human Expansion

(01:17:49) The Space Race

(01:21:43) Space Exploration

(01:24:22) New Forms of Governance

(01:26:18) NASA

(01:28:41) Breakaway Movements in Space

(01:30:16) Space Governance

(01:34:18) Fusion Energy

(01:42:15) Time and Life Extension

(01:48:06) Extended Lifespans

(01:52:03) Technology




Tech CEOs Are Selling You the Future24 Apr 202600:59:50

Carissa Véliz joins Thinking on Paper to examine how AI forecasts, platform algorithms and prediction markets can influence the future they claim only to predict.


Predictions aren’t always neutral descriptions. When they come from powerful technology companies, executives, platforms or financial markets, they can change investment, policy and public behaviour. A forecast may become a self-fulfilling prophecy because people act as though its outcome is inevitable.


The conversation begins with a broader question about the good life, curiosity and what the analogue world offers that digital systems often remove. It then turns to the institutions increasingly making predictions about people and society.


In this episode, we discuss:


  • How AI predictions influence human behaviour

  • Why forecasts can become self-fulfilling prophecies

  • How technology executives shape expectations about the future of AI

  • Whether AI hiring tools reinforce existing assumptions about workers

  • How TikTok and other recommendation systems direct attention

  • Why engagement-maximising algorithms reward harmful content

  • How prediction markets such as Kalshi and Polymarket work

  • Whether prediction markets measure beliefs or help create outcomes

  • How platforms exploit the human desire for certainty and security

  • What the Molly Russell case reveals about algorithmic recommendation

  • Why comedy and serendipity resist predictive systems

  • How citizens can make more deliberate choices about technology and belief

  • What Epicureanism offers that digital optimisation cannot


Carissa argues that people should treat influential predictions as interventions rather than passive forecasts. The more reach and authority a prediction has, the greater its ability to reorganise the world around itself.


This conversation examines how to resist technological prophecy by preserving uncertainty, curiosity and the freedom to choose futures that algorithms haven’t already selected.


Please enjoy the show.



--

Thinking on Paper is a technology podcast about AI, computing, science, and the systems shaping the future.


📺 Watch On YouTube:

🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz


--


CHAPTERS  


(00:00) Intro

(01:00) What is the good life? 

(02:00) Why knowing yourself matters more than strategy 

(04:44) The analog world vs the digital world 

(06:45) How prophecies exploit our need for security 

(08:47) Ancient Rome

(10:11) The illusion of safety

(12:27) When predictions work

(15:00) Altman, Amodei, Huang

(28:29) How to resist prophecies

(29:53) Prediction markets

(31:49) TikTok, algorithms, and the Molly Russell case 

(36:08) Engagement algorithms

(40:54) Self-fulfilling prophecies

(43:44) Comedy

(46:59) Seinfeld

(52:16) Karikó

(53:40) Serendipity 

(56:13) Why Epicurus beats the Stoics



Lego Becomes The Front Line Of The AI Propaganda War21 Apr 202600:15:11

The AI meme war between the US and Iran has evolved into an absolute shit show. If you thought it was awful a few weeks ago, you ain't seen nothing yet.


AI-generated Lego propaganda videos were a curiosity. Sometimes funny, often violent, always troublesome and never diplomatic, they quickly gained millions of views across social media... because social media.


The White House Twitter (X) account was responsible for the US videos.


An Iranian media company called Explosive Media, the Iranian. America, either put off by the global consensus that it was losing the war, or bored, switched their AI models to tax season (with equal ineptitude).


Iran, losing the guns and missiles part of the war, has changed tact. Explosive Media turned up the heat. And was duly banned from YouTube. Which could of unleashed the beast. Now Iranian embassies are posting them on Twitter (X) and US creators are using the same format to mock it all with Lego.. Just watch it yourself. And let us know what you think.

--

🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz


--


--

TIMESTAMPS


(00:00) Explosive Media

(00:38) US Bowling Iran

(01:52) Trump's Mask

(03:20) Blockade, Blockade

(06:28) Drunken Hegseth

(08:00) Truth



Who Owns a Trillion-Dollar Asteroid?15 Apr 202600:27:48

This episode of Thinking on Paper uses Space to Grow to examine who has the right to mine the Moon, extract resources from asteroids and build commercial activity beyond Earth.


The Outer Space Treaty prohibits national sovereignty over celestial bodies, but it leaves important questions unresolved. Can companies own the resources they extract? Who grants mining rights? What happens when commercial claims, national security interests and international law collide?


In this episode, we discuss:


  • Who owns the Moon and other celestial bodies
  • Whether companies can legally mine lunar resources
  • How asteroid mining could work
  • What the Outer Space Treaty says about ownership
  • Why the Moon Treaty has limited international support
  • The difference between owning territory and owning extracted resources
  • Which companies are trying to build a space-resource economy
  • How property rights could affect investment in lunar infrastructure
  • The role of the US Space Force in the commercial space economy
  • How China’s space programme is shaping strategic competition
  • Why anti-satellite weapons threaten civilian and commercial systems
  • Whether competition for space resources could reproduce conflicts on Earth

The central legal problem is that space treaties were written before private companies could realistically reach the Moon, operate spacecraft at scale or plan commercial extraction.


This conversation examines whether existing space law can govern a growing off-world economy, and how resource competition could affect security, diplomacy and the future of human activity in space.


Please enjoy the show.


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Thinking on paper is a technology podcast on The Social, Environmental, Cultural & Business Impacts Of Technology.

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Chapters


(00:00) Global Conflict

(02:04) Human Nature

(03:28) Asteroid Mining

(05:53) Space Mining

(11:05) The Space Resource Exploration Act

(13:01) Space Mining Legislation

(17:19) Philosophical Perspectives

(20:14) National Security in Space

(20:40) Government in Space Innovation

(21:34) National Security

(23:10) Weaponization of Space

(24:47) The Prisoner's Dilemma

(26:40) Humanity's Moral Compass

(27:03) The Future of Humanity in Space


AI GPU: Why Companies Keep Wasting Billions 14 Jul 202600:41:19

AI companies are splashing billions on more GPUs before they use the ones they already have. Many sit idle, others use a fraction of their potential. 


For the hyperscalers, cloud providers and AI companies, buying more GPUs does not solve much if the GPUs already in the rack spend too much time waiting for the rest of the system.


The next battle in the AI infrastructure wars is efficiency: GPU utilization, NICs, memory movement, networking, CPUs and software that keeps expensive hardware doing useful work.

Moshe Tanach runs NeuReality AI, a company building infrastructure for AI inference. In this conversation, he explains why the next wave of AI infrastructure depends on GPU utilization, NICs, memory movement, networking and software efficiency, not just buying more chips.


This is a technical conversation about AI inference, infrastructure efficiency and the hardware layer beneath ChatGPT, Claude, Gemini and the AI tools now being built into business software.


Please enjoy the show.


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

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Chapters


(00:00) The GPU challenge

(01:27) Training Vs Inference

(05:45) Memory & Keeping The GPU Busy

(07:31) Deep Seek, Blackwell & Ruben

(09:03) How Ripe Is CPU For Reinvention?

(11:03) AI Agents Run On CPUs

(12:51) Do We Need All The Computation?

(14:35) GPU Utilization Rates

(16:50) Tokens In A Context Window

(20:59) Data, Knowledge & Wisdom

(23:56) Why Are Your GPUs Busy? (A Truck Analogy)

(29:07) Hyperscalers

(31:59) The Decode Phase

(36:47) What More Efficient GPUs Means For The User



China’s SpaceX Is Learning by Crashing Rockets09 Apr 202600:28:36

This episode of Thinking on Paper examines the largest space technology funding rounds of 2026 and what they reveal about the direction of the commercial space economy.


Investment is moving beyond satellite launches and communications. Companies are now raising capital for orbital data centres, private space stations, reusable rockets, alternative navigation systems, weather intelligence, secure communications and national-security infrastructure.


We count down funding rounds involving:


  • Starcloud

  • Xona Space

  • Tomorrow.io

  • PLD Space

  • Stoke Space

  • Axiom Space

  • CesiumAstro

  • Vast

  • Sierra Space

  • China’s iSpace


The episode covers:


  • Why investors are backing space-based data centres

  • The business case for commercial space stations

  • How Xona Space and other companies are developing alternatives to GPS

  • Why reusable launch systems continue to attract capital

  • The growth of secure satellite communications

  • How space-based weather intelligence is becoming a commercial market

  • Whether microgravity research can support viable businesses

  • Why defence and national-security funding are becoming more important

  • How private investment is shaping competition between the United States, Europe and China

  • What the largest funding rounds suggest about the next phase of the space economy


The companies raising the most capital aren’t all pursuing the same market, but several themes recur: sovereign infrastructure, lower launch costs, persistent Earth observation, orbital computing and a shift from individual spacecraft towards complete space-based systems.


This conversation follows the money to understand which technologies investors believe can move from ambitious engineering projects to durable commercial infrastructure.


Please enjoy the show.


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To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz




Chapters

(00:00) Starcloud

(00:52) Xona Space

(03:27) Tomorrow IO

(06:01) PLD Space

(08:00) Stoke Space

(10:18) Axiom Space

(12:29) Cesium Astro

(14:50) VAST Space

(19:02) Sierra Space

(21:47) I-Space (Beijing Interstellar Glory Space Technology Ltd.)



Can A Rule From 125 Years Ago Control An AI War?07 Apr 202600:27:49

The Martens Clause says that when written law runs out of steam, humanity still has obligations under the laws of humanity.


This episode asks whether that old idea from the 1899 Hague Peace Conference can help govern new technologies that move faster than law: AI, autonomous weapons, military AI, space mining, space governance, and the race to build beyond Earth.


The conversation moves from Nuremberg, the Corfu Channel, and Nicaragua to AI safety, black-box systems, tech accountability, and whether “not explicitly illegal” should ever mean “automatically allowed.”

Please enjoy the show. And keep the peace.

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Thinking on Paper is a technology podcast about AI, computing, science, and the systems shaping the future.

🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz


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(00:00) The First Peace Conference: A Historical Perspective

(07:37) The Martin's Clause: Implications for Modern Governance

(10:05) Space Tech and the Outer Space Treaty

(13:58) AI and the Need for Ethical Frameworks

(17:21) Accountability in Technology Deployment

(22:56) The Future of Humanity: Collaboration vs. Competition



AI Is Going To War03 Apr 202600:21:42

This episode of Thinking on Paper, we look at how artificial intelligence is moving from military planning into intelligence analysis, targeting and battlefield operations.


Using a White House memorandum on America’s military AI strategy, Mark and Jeremy explore the push to build an AI-first warfighting force. The objective is to process information, identify threats and execute decisions faster than an adversary. That creates a central conflict between military speed and human control.


In this episode, we discuss:


  • How AI is being used in modern warfare

  • What Project Maven does

  • How AI supports intelligence analysis and military targeting

  • What the military kill chain is

  • How AI could accelerate decisions across the kill chain

  • The development of autonomous weapons systems

  • Whether humans will remain involved in lethal decisions

  • How AI-generated intelligence could produce false or misleading conclusions

  • Why the United States sees China as its principal military AI competitor

  • The role of companies such as Anthropic and defence technology firms

  • What an open AI arsenal could mean for military procurement

  • Why the Pentagon is competing for AI researchers and engineers

  • Whether faster military systems make conflict less likely or easier to escalate


AI could help militaries process large volumes of data, identify targets more precisely and reduce the time between detection and response. It could also compress decision-making to the point where human review becomes a strategic disadvantage.


The central question isn’t only whether military AI works. It’s who controls these systems when speed becomes the priority, and who remains accountable when intelligence, targeting and battlefield decisions are executed through software.


Please enjoy the show.

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🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz

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Chapters

(00:00) Department of War

(00:58) Executive Order 14179

(01:59) China

(04:36) Anthropic

(07:20) Pace Setting Projects

(08:28) Kill Chain

(10:22) Palmer Luckey

(11:53) The AI Open Arsenal

(13:57) The War Time Approach

(16:46) AI Talent Acquisition

(18:54) Speed wins


Iran Show America How To Use AI For Propaganda30 Mar 202600:20:19

Iran made an AI Lego propaganda video about the United States. It was kind of funny. The US replied with Grand Theft Auto, Wii Sports, and Call of Duty. It wasn't. Children's toys and video games to push a distorted view of war at kids and morons on Twitter. Oh how they'll laugh. This is our first reaction video. Probably be our last.

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🎧 Listen to every podcast⁠

📺 Follow us on ⁠Instagram⁠

🏠 Follow us on ⁠X⁠

🏠 Follow Jeremy on ⁠LinkedIn⁠


To suggest guests or sponsor the show, please email: hello@thinkingonpaper.xyz




Timestamps


(00:00) What Is Propaganda?

(00:36) Iran Lego Propaganda Video

(02:45) Reaction

(06:55) Whitehouse GTA Iran War Video

(09:07) Epic Fury - US Wii Sports Video

(13:22) Call Of Duty Iran War Video





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