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From 19 epsHosts
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AstroForge Will Mine Asteroids for Platinum
Jun 23, 2026
Unknown duration
What Is GEO? How Brands Get Recommended by ChatGPT, Claude and Gemini - Awad Sayeed
Jun 12, 2026
44m 34s
Can UK Tech Compete Globally in Quantum, Robotics and AI? | Rory Daniels, techUK
Jun 11, 2026
46m 05s
What Is an Autonomous Machine Learning Engineer? How Neo Automates AI Development
Jun 11, 2026
34m 37s
What If AI Teaches AI To Use AI?
Jun 11, 2026
Unknown duration
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/23/26 | ![]() AstroForge Will Mine Asteroids for Platinum | Asteroid mining sounds insane until you speak to AstroForge CEO Matthew Gialich. Then it makes perfect sense.Matthew’s team at AstroForge builds spacecraft to mine metallic M-type asteroids for platinum group metals, the unglamorous but essential metals inside phones, cars, chips, electronics and much more.AstroForge is one of the few companies trying to make space mining real, targeting metal-rich asteroids that could contain platinum, palladium, iridium and other PGMs.Why? Earth’s resources are getting harder, deeper and more expensive to reach. The good stuff is not sitting neatly on the surface. A lot of it is buried, depleted, regulated or uneconomic.In this episode, Matthew explains why asteroid mining may now be technically and economically possible, why Planetary Resources may have been too early, how SpaceX changed the capital story for space startups, and why AstroForge’s first deep-space spacecraft failed after travelling nearly a million miles from Earth.Please enjoy the show. --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) Asteroid Mining Trailer(02:51) The Economic Necessity of Asteroid Mining(08:37) Lessons from Planetary Resources(10:43) Risk and Innovation (15:26) Deep Space Two (19:05) The Quest for Asteroid Exploration(22:20) Aliens & Life Beyond Earth(24:17) Ownership and Ethics in Space Mining(26:21) The Next Challenges in Asteroid Mining(27:56) Changing Earth's Economy (30:13) The Role of Capital(32:32) Matt's Vision for Space Exploration(35:06) The Drive to Explore the Universe(36:55) NASA's Evolution (39:17) Inside Astroforge(42:53) The Complexity of Space Engineering(44:25) Data Centers in Space(47:30) The Limitations of AI in Space Engineering | — | ||||||
| 6/12/26 | ![]() What Is GEO? How Brands Get Recommended by ChatGPT, Claude and Gemini - Awad Sayeed✨ | generative engine optimisationAI search+5 | Awad Sayeed | ChatGPTClaude+3 | — | GEOSEO+8 | — | 44m 34s | |
| 6/11/26 | ![]() Can UK Tech Compete Globally in Quantum, Robotics and AI? | Rory Daniels, techUK✨ | UK technologyquantum computing+4 | Rory Daniels | robotaxisWayve+1 | UKAmerica+4 | UK techrobotics industry+5 | — | 46m 05s | |
| 6/11/26 | ![]() What Is an Autonomous Machine Learning Engineer? How Neo Automates AI Development✨ | autonomous machine learning engineerAI development automation+4 | Vij brothers | NeoCERN | AI | autonomous machine learningAI development+5 | — | 34m 37s | |
| 6/11/26 | ![]() What If AI Teaches AI To Use AI? | The Vij brothers join Thinking on Paper to discuss Neo, an autonomous machine learning engineer designed to automate parts of the AI development process.As demand for AI systems grows, companies and governments are competing for a limited pool of experienced machine learning engineers. The challenge isn’t only access to data or computing power. Many organisations also lack the technical expertise required to build, test and deploy effective models.Neo uses a multi-agent system to perform tasks normally handled by machine learning engineers, including analysing datasets, selecting modelling approaches, running experiments and evaluating results. The aim is to automate repetitive technical work while allowing human engineers to concentrate on higher-level decisions and more creative problems.In this episode, we discuss:What an autonomous machine learning engineer isHow Neo’s multi-agent AI system worksWhy skilled machine learning engineers are in such high demandWhich parts of AI development can be automatedHow autonomous agents compare with traditional machine learning workflowsWhy Kaggle Grandmasters are considered leading practitioners in applied machine learningWhether AI agents can match expert human performanceHow automation could affect machine learning jobs and salariesThe evolution of GPUs from graphics hardware to AI infrastructureWhat the Vij brothers learned from working at CERNHow autonomous AI systems could change business, creativity and technical workNeo is intended to expand access to machine learning expertise rather than simply generate code. Its development raises a wider question: what happens when AI systems can perform the specialised work required to build other AI systems?This conversation examines the technical capabilities of autonomous machine learning agents, the shortage of experienced AI talent and how automation could reshape the role of engineers--Timestamps(00:00) Why Are There So Few Machine Learning Engineers?(01:54) Meet Gaurav Vij and Saurabh Vij(02:57) Lessons Learned from Working at CERN(04:45) How to Explain The Importance Of A.I. to Your Parents(07:24) The World’s First Autonomous Machine Learning Engineer: What AI Problem Does NEO Solve?(08:17) AI Competitions and Kaggle Grandmasters(11:06) How Many A.I./ML Engineers Do We Need?(17:30) Fixing The A.I. Hallucination Problem(18:09) Hot Buttons: 5 AI Questions In 30 Seconds(18:46) Hollywood: Doomed by A.I, or Reborn?(20:26) AI News: Nvidia Digits Explained(21:51) Moore's Law And Could AI Models Be Motivated by Rewards?(25:42) AI And Quantum Computing(29:45) The Thinking on Paper Carry-Over Question(30:16) After Hours: Backstage Extra--Check out NEO: https://heyneo.so/Learn more about the show: www.thinkingonpaper.xyzFollow Thinking On Paper On Instagram: https://www.instagram.com/thinkingonpaperpodcast/ | — | ||||||
| 6/2/26 | ![]() How Would NASA Build a Permanent Moon Base? Power, Habitats, Robots and Lunar Infrastructure✨ | lunar baseNASA+5 | — | NASA | Moonlunar | Moon baseNASA+8 | — | 33m 45s | |
| 5/27/26 | ![]() How Space-Based Solar Power Works: TerraSpark on Wireless Energy Beaming from Orbit✨ | space-based solar powerwireless energy transmission+4 | Sanjay Vijendran | TerraSparkDcube+1 | Portugal | solar energywireless power transmission+5 | — | 52m 14s | |
| 5/23/26 | ![]() What Is the Environmental Impact of Lithium and Copper Mining? Jennifer Dunn on Critical Minerals and the Energy Transition✨ | environmental impactlithium mining+4 | Jennifer Dunn | lithiumcopper+1 | electric vehiclesgrid storage+3 | lithium miningcopper mining+7 | — | 52m 23s | |
| 5/18/26 | ![]() Could AGI Run the Global Economy Better Than Humans? Anders Sandberg on AI, Markets and Control✨ | artificial general intelligenceglobal economy+4 | Anders Sandberg | — | — | AGIglobal economy+5 | — | 7m 27s | |
| 5/15/26 | ![]() Why Moon Dust Is a Serious Problem for NASA: Philip Metzger on Starship, Artemis and The Space Economy✨ | lunar missionsmoon dust+5 | Philip Metzger | StarshipNASA+2 | — | moon dustlunar landers+8 | — | 5m 14s | |
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| 5/13/26 | ![]() How the Commercial Space Economy Really Works: NASA, SpaceX and the New Race✨ | commercial space economyNASA's role+5 | Matthew WeinzierlBrendan Rosseau | NASASpaceX+4 | China | commercial spaceNASA+6 | — | 42m 52s | |
| 5/13/26 | ![]() Who Pays To Build The Space Economy? | 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 worksThe role of NASA in creating private space marketsHow the Artemis programme could support a lunar economyWhy governments fund technologies before commercial demand existsThe business case for commercial space stationsHow Starlink and GPS demonstrate the economic value of space infrastructureWhether space-based data centres could become commercially viableHow investors evaluate launch, satellite and lunar businessesThe growth of China’s space programmeWhy space has become central to national securityWho should own and use resources found on the MoonWhether the Outer Space Treaty is suitable for a commercial space economyHow international competition is shaping the new space raceMatthew 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 InstagramWatch 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 | — | ||||||
| 5/6/26 | ![]() How IBM Quantum Computing Works: QPUs, GPUs and the Road to Fault-Tolerant Quantum Systems✨ | quantum computingsupercomputing+5 | Scott Crowder | IBMCleveland Clinic | — | quantum-centric supercomputingIBM+5 | — | 44m 22s | |
| 5/6/26 | ![]() IBM Just Took Quantum Computing Out of the Lab | 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 meansHow quantum processors, GPUs, CPUs and HPC systems work togetherIBM’s roadmap towards fault-tolerant quantum computingWhat IBM Starling is designed to achieve by 2029How superconducting qubits workWhy quantum error correction is essentialThe role of Qiskit and open-source quantum softwareWhich quantum algorithms could deliver practical valueHow quantum computing could support chemistry and materials researchIBM and Cleveland Clinic’s work on protein simulationIBM’s collaboration with RIKENHow Nvidia GPUs fit into hybrid quantum systemsWhy accessibility and real-world adoption matter as much as hardware progressScott 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/markfielding99Jeremy: 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 | — | ||||||
| 4/28/26 | ![]() The Long Future: Anders Sandberg on Brain Emulation, AI Safety, and Living Forever✨ | AGIbrain emulation+5 | Anders Sandberg | — | — | AGIlongevity+5 | — | 1h 54m 12s | |
| 4/24/26 | ![]() What Seinfeld Knows That Sam Altman Doesn't: Carissa Véliz on AI, Prophecy, and Truth✨ | AIprophecy+4 | Carissa Véliz | OpenAIKlarna+1 | — | AI predictionsself-fulfilling prophecy+5 | — | 59m 50s | |
| 4/21/26 | ![]() Three Videos That Explain How Trump Lost The Meme War With Iran✨ | AI meme warUS-Iran relations+3 | — | AI-generated Lego propaganda videosExplosive Media+1 | IranUS | Trumpmeme war+6 | — | 15m 11s | |
| 4/21/26 | ![]() Lego Becomes The Front Line Of The AI Propaganda War | 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 LinkedInTo 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 | — | ||||||
| 4/15/26 | ![]() Asteroid Mining, Property Rights, and Who Owns The Moon: Space to Grow✨ | asteroid miningproperty rights+4 | — | Planetary ResourcesDARPA+1 | ChinaUSA+3 | asteroid miningMoon ownership+7 | — | 27m 48s | |
| 4/9/26 | ![]() $3 Billion in Space Tech: The Top 10 Raises of 2026 So Far✨ | space technologyfunding rounds+4 | — | iSpace ChinaSierra Space+8 | ChinaBeijing | space techfunding+6 | — | 28m 36s | |
| 4/7/26 | ![]() An 1899 Law for AI and Space: The Martens Clause✨ | international lawhumanitarian law+4 | — | — | BelgiumNicaragua | Martens Clauseinternational law+5 | — | 27m 49s | |
| 4/3/26 | ![]() AI, the Kill Chain, and the Race Against China: The Pentagon's AI Memo✨ | AI strategymilitary technology+4 | — | Department of WarAnthropic | Iran | AIPentagon+6 | — | 21m 42s | |
| 3/30/26 | ![]() Iran Show America How To Use AI For Propaganda✨ | AIpropaganda+4 | — | AI Lego propaganda videoGrand Theft Auto+3 | — | IranAI+5 | — | 20m 19s | |
| 3/23/26 | ![]() Space Junk, the Kessler Syndrome, and SpaceX's Monopoly: Space to Grow✨ | space junkKessler Syndrome+4 | — | SpaceXAstroscale+1 | — | space debriscollision cascades+5 | — | 35m 55s | |
| 2/18/26 | ![]() Why AI Data Centers Might Leave Earth | Philip Johnston is the CEO of Starcloud and launched an Nvidia H100 chip in space and gave a TED talk about it. As you do if you're responsible for building the infrastructure for space-based data centers. Elon Musk was not the first. He follows in the footsteps of Mr Johnston. And so, rather than Mr SpaceX, our first technology reaction video is this TED talk from San Francisco. We watched it for the first time. Live. On TV. This is not theoretical. It's also not up to date. Philip filmed this in October 2025. Starcloud have already launched the Nvidia H100 on a Falcon 9 up into space. It's happening disruptors and curious minds. It's happening. Philip predicts most data centers will be in space within 10 years. We agree. Please enjoy the show.Cheers, Mark & Jeremy.--Other ways to connect with us:Listen to every podcastFollow us on InstagramFollow us on XFollow Mark on LinkedInFollow Jeremy on LinkedInRead our SubstackEmail: hello@thinkingonpaper.xyz | — | ||||||
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