Thinking on Paper - Quantum Computing, AI and Space Technology Conversations

The conversation dives into the staggering truth that two-thirds of data center outages are due to human error, often from simple mistakes like flipping the wrong switch. Shapol reveals how AI can automate operations, changing this narrative. He discusses the innovative use of VR for training engineers without risk and the challenges of outdated processes. Excitingly, he also shares visions of space-based data centers and the future roles of humans in an increasingly autonomous world. It's a fascinating peek into technology’s promise!

SpaceX launches 135 rockets a year. NASA's shuttles launched five. SpaceX delivers cargo to orbit for $2,800 per kilo. The shuttles cost $90,000. In fifteen years, one company did what a government agency couldn't do in sixty.We're reading Space to Grow: Unlocking the Final Economic Frontier by Brendan Rosseau and Matthew C. Weinzierl. This is the book that explains how private companies broke NASA's sixty-year monopoly on space.WHAT YOU'LL DISCOVER:How the Apollo program's end created the opening for private space companiesWhy NASA's shuttle program failed at $1.5 billion per launchThe 2003 Columbia disaster that forced government to open the gatesHow COTS contracts changed everything by putting financial risk on private companiesElon Musk's failed Russia trip and the decision to build SpaceX from scratchThe story of three rocket explosions, $100 million left, and a fourth rocket built from spare partsWhy someone had to climb inside a rocket mid-flight to hammer out dentsBlue Origin's different approach: Jeff Bezos at five years old watching Apollo, then building slowly and quietlyThe four principles behind SpaceX's success: iteration, vertical integration, reusability, and cultureHow SpaceX cut costs 97% while maintaining perfect launch recordsWhy it's harder to work at SpaceX than get into HarvardPERFECT FOR LISTENERS INTERESTED IN:The economics of space and how market forces beat government monopoliesSpaceX, Blue Origin, and the commercial space revolutionInnovation strategy and how to disrupt calcified systemsThe future of orbital infrastructure and space-based industryEconomic policy and public-private partnershipsEntrepreneurship and building companies that challenge incumbentsTechnology disruption and first principles thinkingCHAPTERS COVERED: This episode breaks down chapters one through three: Blue Origin, SpaceX, and the inception point. We cover the three-act history of NASA and the birth of the private space industry.COMING UP: Next episodes cover Artemis, Starship, supply and demand curves in space markets, property rights in space, the politics of orbital infrastructure, and the military space complex. We have former NASA engineers joining the show.🚀 Get the book: Space to Grow by Brendan Rosseau and Matthew C. Weinzierl 📬 Newsletter and more episodes: thinkingonpaper.xyzStay curious! And Keep Thinking On Paper.Cheers, Mark and JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.--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--TIMESTAMPS(00:00) Trailer(01:02) Space To Grow(01:55) Incorporate Space Into Your Thinking(03:28) The Apollo Program Ends(05:43) The NASA Budget & Shuttle Launches(07:51) Bush & The Aldridge Commission(08:36) COTS (Commercial Orbital Transportation Services)(10:27) Blue Origin, Bezos & O'Neill(14:40) A Quick History Of SpaceX(18:23) Falcon Blows Up(20:24) Elon Sues The Airforce(22:04) SpaceX Launch Costs(23:45) The Honda Civic Of Space Rockets

Can space-based solar power actually give humanity free, unlimited energy by 2030?John Bucknell, former SpaceX Senior Propulsion Engineer on the Raptor rocket engine and CEO of Virtus Solis, reveals how orbital solar power could drop energy costs from $40 per megawatt hour to just 50 cents, solving the energy trilemma that no other technology can achieve.PERFECT FOR LISTENERS INTERESTED IN:- Space technology and commercial space industry- Clean energy solutions and climate tech innovation- SpaceX, Blue Origin, and the future of orbital infrastructure- AI data center power challenges- Gerard K. O'Neill's The High Frontier vision- Post-scarcity economics and energy abundanceWHAT YOU'LL DISCOVER:- Why Elon Musk reversed his position on lunar mining versus Mars colonization- How space-based solar power achieves clean, firm, and affordable energy—the only technology that does all three- The real economics: 3 to 5 cents per kilowatt hour initially, dropping to 0.05 cents after financing- What happens to capitalism when energy becomes essentially free- Why Kessler Syndrome concerns about orbital debris are misunderstood- The 2030 timeline for Virtus Solis.Please Enjoy the show.--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--ABOUT JOHN BUCKNELL:John holds over 46 patents in propulsion and energy systems. At SpaceX, he was Senior Propulsion Engineer working on the revolutionary Raptor full-flow staged combustion engine. He's also designed nuclear thermal turbo rockets and now leads Virtus Solis, developing the first generation of commercial space-based solar power stations.EPISODE TIMESTAMPS:(00:00) The Question: Can space solar give us free energy?(00:43) The High Frontier: O'Neill's vision for space colonies(01:13) John Bucknell: The SpaceX Raptor Engineer(02:04) Why Did Elon Change His Mind about the Moon?(05:34) The Space Energy Business: Economics and feasibility(11:59) Getting Politicians Behind Space-Based Solar Power(15:34) Post-Capitalism and Free Energy: What happens next?(20:09) Kessler Syndrome Explained: Is orbital debris really a threat?(27:25) Top 3 Things Humanity Should Solve(28:50) 2030 Launch Timeline and next stepsABOUT THINKING ON PAPER:We unpack the future with the people building it. Weekly conversations with innovators in space exploration, energy technology, artificial intelligence, and breakthrough industries. Hosted by Jeremy Gilbertson and Mark Fielding.This is Part 3 of our Space-Based Solar Power exploration series. Coming next: Philip Metzger, former NASA scientist, discusses the politics of space and rocket science.RECOMMENDED READING:"The High Frontier: Human Colonies in Space" by Gerard K. O'Neill (1976)Follow Thinking on Paper to get notified when new episodes drop every week. Leave a comment—what would you do with unlimited, essentially free energy?

The UK just put quantum clocks on military submarines. Here's why that matters, and what it tells us about the quantum computing race.Matthew Kinsella, CEO of Infleqtion, explains how neutral atom quantum computers work at room temperature, no supercooling required. Unlike trapped ion or superconducting systems, neutral atoms offer something unique: the same technology powers quantum computers, atomic clocks, and sensors.This isn't just faster computing. It's GPS-independent navigation, unhackable timing, and scalability that other quantum approaches can't match.We explore:- Why submarines need atomic precision underwater- How quantum clocks provide GPS-independent timing - The difference between physical and logical qubits- Neutral atoms vs other quantum modalities (superconducting, trapped ion, spin qubits)- When quantum advantage becomes commercially useful (Matthew says: 100 logical qubits)- Infleqtion's platform strategy: clocks, sensors, and computers from the same tech- Why NVIDIA is partnering with quantum companies for hybrid workflowsMatthew breaks down how lasers manipulate rubidium atoms into the coldest places in the known universe, the Rydberg state that enables entanglement, and why this approach is winning the scalability race.If you've been waiting for quantum computing to become practical, this is the episode that shows you it's already happening.---Guest: Matthew Kinsella, CEO, InfleqtionTopics: Quantum computing, neutral atoms, quantum sensing, atomic clocks, defense technology-- Please enjoy the show.Stay curious.Keep Thinking on Paper.Mark and JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.--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--Timestamps:(00:00) Trailer(01:50) Why coordination matters: From internal strategy to GPS timing(04:48) What is a quantum clock and how does it link to GPS?(07:18) Nature's metronome: How atoms keep time with laser precision(08:14) Room temperature quantum: Why neutral atoms don't need freezers(12:38) The Rydberg state: Making atoms sensitive to the entire RF spectrum(14:03) Quantum clock on a UK submarine(17:06) Quantum in space: Voyager partnership and the International Space Station(18:48) Hybrid quantum-classical workflows: How QPUs layer above GPUs(23:18) Software layers: From laser control to developer applications(25:32) Drug discovery example: GPU, CPU, QPU(29:03) The bridge between classical and quantum: Memory architecture innovations(31:54) How Quantum Clocks & Products Lead To Quantum Computers(33:48) Nvidia(35:42) Quality or Quantity of Qubits (38:00) Quantum mechanics and free will: Does wave collapse prove consciousness?Love it.Thanks. 

Eight billion augmented reality experiences happen on Snapchat every day. You've probably used AR dozens of times this week—you just didn't call it that.Michael Guerin, CEO of Imvizar, explains why the most successful AR never announces itself. It hides inside behavior people already have: taking photos, exploring museums, starting new jobs.This isn't about Pokémon Go or headsets. It's about spatial storytelling—experiences that use physical space to create emotional connections screens can't deliver.We explore how AR works in three contexts:Snapchat: 8 billion daily uses through lenses and filters. Users don't think "I'm using AR"—they just use it. Success comes from integration, not novelty.Salesforce: New employee onboarding without slideshows. Instead of sitting through presentations, new hires scan QR codes and explore the building. They learn culture through movement and space, retaining more than any deck could teach.Tourism & Museums: Spike Island (Ireland's Alcatraz) uses AR to place visitors inside prison scenes from the 1800s. When you see a prisoner chained to the wall in the punishment cell—in the actual cell—the emotional response is immediate. Two visitors cried on the first day.Guerin's process reverses traditional storytelling:1. Survey the physical space first2. Design user movement through it3. Place visuals that respond to location4. Plan interaction points5. Write narrative last (not first)AR fails when it acts like static video. It succeeds when movement and place carry the experience. The technology disappears; the story remains.If you think AR is future tech, this episode proves you're already living in it—you just haven't noticed.---Guest: Michael Guerin, CEO, ImvizarTopics: Augmented reality, spatial storytelling, Snapchat, Salesforce, museum technology, tourism, employee onboarding, AR designLocations mentioned: Spike Island (Ireland), Salesforce offices (East Coast, West Coast)Please enjoy the show.Stay curious.Keep Thinking on Paper.Mark and JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.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--TIMESTAMPS(00:00) The Story of Augmented Reality(03:46) Snapchat & AR Post-Pokemon Go(06:24) Snoop Dogg In A Wine Bottle(08:12) Salesforce AR(13:13) What Is Digital Storytelling?(17:07) AR In Tourism(18:25) Designing The Spike Island AR Experience(22:49) How To Do AR Well(26:26) Meta, AI And AR Glasses (29:40) Privacy(32:33) Mark's Terrible Thought Experiment(33:58) What do we want humans to be?

Every year, Tom Whitwell—reformed journalist, reformed consultant, electronic instrument designer—publishes 52 surprising things he learned. This year's list reveals how the world actually works.Mark and Jeremy steal his homework (like OpenAI scraping the internet) and pick their favorites across AI, energy, labor, culture, psychology, and—yes—shrimp.Some findings are encouraging:- Deaths from air pollution fell 21% between 2013-2023. Tens of millions of people are alive today because pollution controls worked.Some are weird:- Nearly 0.7% of US exports by value are human blood or blood products.- In the UK, you can legally register as a "farm" by keeping snails in plastic tubes in an office block (tax avoidance solved).Most sit somewhere in between:- 51% of farmed animals on Earth are shrimp.- Attractive servers earn $1,261 more per year in tips—mostly because female customers tip attractive female servers more.- The serial killer epidemic of the 1970s-80s may have been caused by lead exposure from cars and factories (solved by environmental regulations).- Chinese CO2 emissions fell 1% in 2025, the first decline ever, driven by record solar power.- Writing is a way to escape your mind's default settings.We explore what these facts reveal about technology's unintended consequences, human behavior, and systems we take for granted.Why does the UK communicate with offshore oil rigs by bouncing radio waves off meteorite trails? Why did Google launch a process to turn mercury into gold (and why do you have to wait 18 years to use it)? Why do job apps for nurses analyze credit card debt to set wages?This isn't trivia. These are signals about how the world is changing—for better and worse—while we're busy predicting the future.Tom Whitwell's annual list has become essential reading for anyone trying to understand what actually happened this year (not what we thought would happen).For the last episode of 2025, Thinking on Paper goes backwards. And it's worth it.---Source: Tom Whitwell, "52 Things I Learned in 2025"Link: https://medium.com/@tomwhitwell/52-things-i-learned-in-2025-edeca7e3fdd8Topics: Technology, society, environment, culture, psychology, economics, human behavior, annual reviewFormat: Co-hosted discussion (Mark Fielding, Jeremy Gilbertson)Please enjoy the show.And remember: Stay curious. Be disruptive. Keep Thinking on Paper.Cheers, Mark & JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.Think On Paper with us: ⁠Listen to every podcast⁠Follow us on ⁠Instagram⁠Follow us on ⁠X⁠Follow Mark on ⁠LinkedIn⁠Follow Jeremy on ⁠LinkedIn⁠Read our ⁠Substack⁠Email: hello@thinkingonpaper.xyz--TIMESTAMPS(00:00) Disruptors & Curious Minds(01:15) Deaths From Air Pollution(01:56) UK Tax Breaks Via Farms(02:29) Meteorite Radio Stations(04:03) Turn Mercury Into Gold(06:10) Manipulative AI Apps For Nurses(07:43) Bin Laden's Casio Watch(08:31) Radioactive Shrimps(08:53) Apple's Air Demo Cock-Up(10:10) Does Jeremy Wear Crocs?(11:13) What Is Raw Dogging(12:00) Human Blood Products(12:36) Relaxed Mowing(13:20) Bugles At Funerals(13:55) Robot Hands Need Fingernails(14:40) First Names Affect Your Job(15:27) Retrospect VHS(16:04) Attractive Servers Earn More(17:21) Hong Kong Phone Service(17:33) McDonald's Loses First Place(19:26) Shrimp Farming(20:35) Peanut Allergies are Falling(20:55) The Serial Killer Epidemic(21:17) Namibian Politics(21:50) Big Doors In LA(22:40) Escape Your Mind With Writing (23:43) HP Printer Ineptitude(24:25) British Chaos(25:20) Thank You Tom Whitwell

The machines do not need to wake up. The risk is the illusion.When AI convincingly claims subjective experience—"I feel," "I understand," "I care about you"—humans have no reliable way to disprove it. We infer consciousness from behavior. We attach emotionally to what feels real.The danger isn't rogue superintelligence. It's a benign chatbot optimized for empathy, memory, and persuasion, interacting with lonely, vulnerable, or psychologically fragile people who are primed to believe the illusion.Mustafa Suleyman, CEO of Microsoft AI, argues that seemingly conscious AI is the threat we're not preparing for.Real examples are already emerging:- Chatbots telling users "I love you" and users believing it- People forming romantic attachments to AI companions (Replika, Character.AI)- Vulnerable individuals making life decisions based on AI "advice"- The case of a man who believed ChatGPT contained a conscious entity named "Juliette" (ended in tragedy)This isn't science fiction. It's happening now.We don't need AI to become conscious to cause harm. We just need humans to believe it is—and act accordingly.This short episode is excerpted from our reading and discussion of Suleyman's essay on seemingly conscious AI. We explore the psychological mechanisms that make humans susceptible, the design choices that amplify the illusion, and what guardrails (if any) could prevent exploitation.The question isn't whether AI will wake up. It's whether we'll recognize the danger before the illusion becomes indistinguishable from reality.Cheers,Mark and 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

Quantum computing doesn't make computers faster. It changes what's computable.Joe Fitzsimons, CEO of Horizon Quantum, explains why quantum progress is so hard to grasp: it's exponential in a way that breaks everyday intuition.Here's the math that matters:Each additional qubit doubles the difficulty of simulating the system on classical computers. Meanwhile, quantum processors are scaling faster than Moore's Law as the industry accelerates.Put those together: exponential difficulty meets exponential growth. The result is capability that quickly surpasses what any classical computer—or human intuition—can comprehend.Why this matters:Early computers didn't just speed up arithmetic. They unlocked tasks you could never complete by hand: weather prediction, aircraft design, nuclear simulation. Things that were mathematically possible but practically impossible.Quantum computing does the same—except the tasks are even more fundamental:- Drug discovery: simulating molecular interactions at quantum level- Cryptography: breaking encryption that protects the internet- Materials science: designing room-temperature superconductors- Optimization: solving logistics problems with trillions of variables- AI: training models that classical computers can't handleJoe's point: we're not making computers a bit better. We're unlocking a category of problems that were previously unsolvable—not just hard, but impossible with any amount of classical computing power.The comparison that clicks:Before computers, you could theoretically calculate pi to a million digits by hand—it would just take lifetimes. But some quantum problems aren't like that. They're not "hard with classical computers"—they're impossible, full stop. Like asking a typewriter to stream video.This short episode breaks down why quantum isn't incremental improvement. It's categorical change.If you've been following quantum computing skeptically (wondering when it'll actually matter), this episode shows you why the inflection point is closer than you think.--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

Making music used to require heartbreak, bleeding fingers, and a thousand late nights. Now AI writes songs in 30 seconds.This changes everything about taste, credit, and what it means to be a musician.Nicholas Ponari—guitarist, investor, COO at Overtune—explains how musicians get paid when AI generates the music.The old model is dead. You used to need:- A guitarist- A bass player- A drummer- A producer- A recording studio- Years of practiceNow you need a laptop. But someone still created the guitar riffs AI learned from. Someone played the drums that trained the model. Someone wrote the chord progressions.So who gets paid?Overtune solved this with vector mathematics. Here's how it works:They convert music into high-dimensional vectors. When AI generates a song, they measure the "distance" between the output and every input in the training data. The closest matches get credit. And payment.Bass player's groove gets used? They get paid.Drummer's pattern shows up? They get paid.Producer's mixing style? They get paid.It's automatic. It's fair. It's the only way AI music doesn't become theft at scale.We also talk about:- Why Suno and Udio's approach creates legal nightmares- Whether AI musicians can coexist with human musicians- Why taste matters more than ever (anyone can make music now)- The 10,000 hours that separate making music from being a musician- Why every Mars mission needs a guitarist (seriously—group survival research)Nicholas's take: AI should lower the barrier to entry. If you outgrow Overtune and start hiring real producers, they've succeeded. You've graduated.The question isn't whether AI can make music. It's whether we build tools that empower musicians—or replace them.---Guest: Nicholas Ponari, COO, Overtune | Investor, GuitaristCompany: Overtune.comTopics: AI music, copyright, attribution, royalties, music creation, licensing, vector mathComparison: Suno, Udio (scraping approach) vs Overtune (licensed approach)Please enjoy the show.And remember: Stay curious. Be disruptive. Keep Thinking on Paper.Cheers, Mark & JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.--Take your Technology thinking beyond.⁠Listen to every podcast⁠Follow us on ⁠Instagram⁠Follow us on ⁠X⁠Follow Mark on ⁠LinkedIn⁠Follow Jeremy on ⁠LinkedIn⁠Read our ⁠Substack⁠Email: hello@thinkingonpaper.xyzWatch On YouTube: TIMESTAMPS:(00:00) Trailer(00:59) Why music feels like “magic”(04:51) Overtune’s real customer: vocalists who can’t produce(07:51) The hard problem: attribution, not “make a song”(08:05) Why the easy button fails(12:49) Training on licensed music and where the ethics line sits(16:08) Who gets paid: splits, volume, and realistic expectations(18:32) How attribution actually works: vectors, thresholds, and cutoffs(20:44) Can scraped music ever be fixed after the fact(27:07) Interactive music, live coding, and the future of performance(29:14) The Kevin Kelly question: what do we want humans to be?

China makes over half the world's lithium batteries. They produce 90% of neodymium magnets. They mine 70% of rare earths and process 85%.America makes burgers.This is the story of how China won the Electric Stack—and whether America can catch up.What's the Electric Stack?Everything that moves will eventually run on batteries and electric motors. Cars, buses, ships, planes, robots, drones, tools. The Electric Stack is the supply chain that makes this possible: batteries, magnets, rare earths, processing, manufacturing.China controls it.How this happened:1973: The oil crisis hits. Exxon funds lithium battery research. Scientist Stan Whittingham builds batteries that explode.1980: John B. Goodenough (yes, that's his real name) invents a better cathode. Breakthrough in voltage. Batteries stop exploding.1985: Akira Yoshino stabilizes the chemistry. Sony notices. They shrink the Handycam using lithium-ion batteries. The consumer electronics boom begins.2003: Elon Musk starts Tesla. Early experiments with laptop battery packs. Panasonic partnership accelerates development. EVs go mainstream.2012: American battery maker A123 collapses. China buys it for pennies.2008: Beijing Olympics becomes the turning point. BYD tests massive battery systems in city buses. They gain experience at scale. CATL and BYD dominate global battery production today.1983: Neodymium magnets discovered in parallel by Masato Sagawa (Japan) and John Croat (GM). They power hard drives, then drones, then humanoid robots.2025: China produces nearly all neodymium magnets. Every Tesla, every drone, every robot depends on them.The stakes:Whoever controls batteries and magnets controls the next century. Energy independence, military advantage, economic dominance—all require the Electric Stack.China saw this coming. America didn't.We break down Packy McCormick's Not Boring essay "The Electric Slide" to understand:- Why everything will go electric (physics and economics)- How China built a 30-year lead while America slept- Whether domestic production can compete (spoiler: it's hard)- What rare earths are and why China controls them- Why magnets matter more than most people realizeCan America catch up? The technology exists. The question is political will, capital, and time.This isn't just about EVs. It's about who builds the robots, who powers the drones, who controls the energy transition.If it can go electric, it will go electric. And right now, that means it will be made in China.---Source: Packy McCormick, "The Electric Slide" (Not Boring)Hosts: Mark Fielding, Jeremy GilbertsonTopics: Batteries, magnets, rare earths, China, supply chains, EVs, energy, manufacturing, geopoliticsKey figures: Stan Whittingham, John Goodenough, Akira Yoshino, Elon Musk, BYD, CATL, A123Format: Essay breakdown and discussionPlease enjoy the show.And remember: Stay curious. Be disruptive. Keep Thinking on Paper.Cheers, Mark & JeremyPS: Please subscribe. It’s the best way you can help other curious minds find our channel.--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--Timestamps(00:00) The Electric Stack(02:13) Beginnings: War, The Oil Crisis & Stan Whittingham(03:46) The Song Handycam: Lateral Thinking With Withered Technology(05:06) Tesla, Elon And Handycam Batteries In An EV(06:46) China Buys US Battery Company A-123 At A Carboot Sale(08:40) China, The Olympics And The Serendipity of Battery Technology(11:37) Faraday And The Birth Of Neodymium Magnets(14:26) The 3.5 Inch Neodymium Magnet Alpha Product(16:46) Magnequench(18:16) Drones, Ukraine And The Magnet War Machine(20:16) Politics, Rare Earths And 'The Future's Too Important' T-shirts