Podcast
Clown Cast
Hosted by Joey Musselman · EN
Podcasts about whatever I find interesting — history, tech, weird rabbit holes. I was making these for myself anyway, so I figured I'd share. Research by Claude, produced with NotebookLM, deployed by tools built using Claude Code. Orchestrated by a clown. Enjoy.
132episodes
Episodes
Newest firstAll episodes
The Batch Problem: Why Brewing Forgot Pharma's Playbook
4w ago00:18:00Tap to summarizePharma built an entire infrastructure for controlled failure—rigorous testing, CPP monitoring, and documentation that would make a brewery's head spin. Brewing uses the exact same batch fermentation science, but they're still guessing. We sit down with the half-billion dollar G-150 project at Miller Coors' Golden Colorado facility to uncover what breweries missed from pharma, and how AI manufacturing simulations could finally close the fermentation gap. 00:00 - Pharma's controlled failure infrastructure 02:45 - Why brewing and pharmaceuticals are the same science, different vibes 05:30 - The G-150 Project: Miller Coors' half-billion dollar reckoning 08:15 - From horizontal tanks to 100+ verticals: infrastructure overhaul 11:00 - Where AI simulations and manufacturing blueprints fit brewing 14:30 - Critical Process Parameters breweries are still ignoring --- Sources & further reading: • VinePair — Dave Infante — "Molson Coors Tweaks Its Brewing Processes in the Long Shadow of the 'Schlitz Mistake'": https://vinepair.com/articles/hop-take-extended-shelf-life-miller-lite-the-schlitz-mistake/ • Michiel Schreurs, Kevin Verstrepen et al. — "Predicting and improving complex beer flavor through machine learning" — Nature Communications 15(2368), 2024: https://www.nature.com/articles/s41467-024-46346-0 • M-Star CFD — "How Pfizer Leveraged Digital Twins to Create a Process Scale-Up Roadmap": https://mstarcfd.com/resources/case-study/how-pfizer-leveraged-digital-twins-to-create-a-process-scale-up-roadmap/ • Molson Coors Blog — "Molson Coors unveils modernized and more efficient Golden brewery": https://www.molsoncoorsblog.com/coors-brewery-g150-opening • Molson Coors Blog — "Two years in, Golden brewery overhaul starts to take shape": https://www.molsoncoorsblog.com/g150-update • Colorado Sun — "Molson Coors overhauls its aging facility to continue its Golden legacy": https://coloradosun.com/2024/10/17/coors-brewery-golden-150/ • Pharmout — "Digital Twins: Transforming Pharma 4.0 Manufacturing": https://www.pharmout.net/digital-twins-in-pharma/ • European Pharmaceutical Review — "AI digital twin developed to boost pharma manufacturing efficiency": https://www.europeanpharmaceuticalreview.com/news/265069/ai-digital-twin-pharma-manufacturing-efficiency-reliability/ • PMC/ScienceDirect — "Transformative roles of digital twins from drug discovery to continuous manufacturing": https://pmc.ncbi.nlm.nih.gov/articles/PMC12516570/ • Signicent — "The Smart Beer: Beer Brewing with IoT & AI": https://signicent.com/smart-beer/ • PitchGrade — "Molson Coors Beverage Company: AI Use Cases 2024": https://pitchgrade.com/companies/molson-coors-beverage-company-ai-use-cases • Digitopia — "Brewing Digital at Molson Coors": https://digitopia.co/blog/brewing-digital-at-molson-coors/ • American Craft Beer — "The Rise and Fall of Schlitz Beer": https://www.americancraftbeer.com/the-rise-and-fall-of-schlitz-beer/ • Everything Everywhere — Gary Arndt — "The Schlitz Mistake": https://everything-everywhere.com/the-schlitz-mistake/ • Dan Baum — Citizen Coors: An American Dynasty (2001) • ScienceDirect — "Fermentation design and process optimization strategy based on machine learning": https://www.sciencedirect.com/science/article/pii/S2693125725000032 • Arxiv — "Engineering a Digital Twin for the Monitoring and Control of Beer Fermentation Sampling": https://arxiv.org/pdf/2508.18452 This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →The 89% Graveyard: What Software's Testing Debt Can Learn from Pharma
4w ago00:18:35Tap to summarizePfizer's drug development pipeline is humanity's most rigorous testing gauntlet: 10-15 years, billions in spending, and 89% failure rate. But this paranoia wasn't always the standard—it took Francis Oldham Kelsey's 1960 refusal to approve thalidomide to show why lives demand perfect safety documentation. Today we explore what software security and AI can steal from pharma's obsession with proof, and where the line between 'good enough' and overkill actually lives. 0:00 - Cold open: Entering the factory 0:30 - The drug pipeline: 10-15 years, $1.3-2.8 billion, 89% eliminated 4:00 - FDA's testing phases and regulated medicine's origin story 8:30 - Thalidomide's children and Francis Oldham Kelsey's line in the sand 13:00 - Software security's neglect vs. pharma's paranoia culture 16:00 - AI validation: disrupting or perfecting the gauntlet? 18:30 - Outro --- Sources & further reading: • FDA — "Frances Oldham Kelsey: Medical Reviewer Famous for Averting a Public Health Tragedy": https://www.fda.gov/about-fda/fda-history-exhibits/frances-oldham-kelsey-medical-reviewer-famous-averting-public-health-tragedy • Wikipedia — "2024 CrowdStrike-related IT outages": https://en.wikipedia.org/wiki/2024_CrowdStrike-related_IT_outages • IT Revolution — "Why 'Move Fast and Break Things' Is Wrong: Lessons from AWS, eBay, and Google on Speed with Safety": https://itrevolution.com/articles/why-move-fast-and-break-things-is-wrong-lessons-from-aws-ebay-and-google-on-speed-with-safety/ • Drugs.com — "How the FDA Drug Approval Process Works: Steps and Timeline": https://www.drugs.com/fda-approval-process.html • N-SIDE Life Sciences — "Average Time to Bring a Drug to Market": https://lifesciences.n-side.com/blog/what-is-the-average-time-to-bring-a-drug-to-market-in-2022 • Axis Intelligence — "AI Drug Discovery 2026: 173 Programs, FDA Framework & Market": https://axis-intelligence.com/ai-drug-discovery-2026-complete-analysis/ • Coherent Solutions — "AI in Pharma and Biotech: Market Trends 2025 and Beyond": https://www.coherentsolutions.com/insights/artificial-intelligence-in-pharmaceuticals-and-biotechnology-current-trends-and-innovations • STAT News — "FDA to Lower Number of Trials Required for Approval": https://www.statnews.com/2025/12/04/fda-considers-single-clinical-trial-for-new-product-approvals/ • SimplerQMS — "FDA 21 CFR Part 11 Questions and Answers": https://simplerqms.com/21-cfr-part-11-questions-and-answers/ • Sound of Development — "The Therac-25 Disaster: When Software Bugs Become Lethal": https://soundofdevelopment.substack.com/p/the-therac-25-disaster-when-software • CNN — "CrowdStrike Outage: What Caused It and How Much It Cost": https://www.cnn.com/2024/07/24/tech/crowdstrike-outage-cost-cause • IT Pro — "Millions of Devices Bricked and $5.4 Billion in Losses": https://www.itpro.com/software/millions-of-devices-bricked-and-dollar54-billion-in-losses-the-cost-of-the-crowdstrike-outage-continues-to-mount • CIO — "Why 'Move Fast and Break Things' Is a Liability for Critical Sectors": https://www.cio.com/article/4141933/why-move-fast-and-break-things-is-a-liability-for-critical-sectors.html • 19th News — "Frances Oldham Kelsey's Refusal to Approve Thalidomide Changed Medical History": https://19thnews.org/2025/10/frances-oldham-kelsey-history-medical-drug-safety/ • European Pharmaceutical Review — "FDA Policy Sets New Clinical Trial Requirements": https://www.europeanpharmaceuticalreview.com/news/271500/fda-policy-new-clinical-trial-requirements-us-drug-approvals/ • HBR — "What the 2024 CrowdStrike Glitch Can Teach Us About Cyber Risk": https://hbr.org/2025/01/what-the-2024-crowdstrike-glitch-can-teach-us-about-cyber-risk • Nancy Tomes (Oxford Academic) — "Frances Oldham Kelsey, the FDA, and the Battle against Thalidomide": https://academic.oup.com/book/56296 • …and 1 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →From Worm Candy to Pharma Titan: Pfizer's Acquisition Obsession
4w ago00:18:17Tap to summarizePfizer's origin story is wild—a candy company that kills intestinal worms, founded in 1849 Brooklyn by two cousins. Their rise to a $62 billion pharmaceutical empire came from ruthless acquisitions (Warner Lambert, Formation, Wyeth) that absorbed therapeutic portfolios but created a Frankenstein of legacy IT systems. We trace how this complexity sparked a partnership with Accenture on Financial Developers for Enterprise (FDEs), and explore how AI-powered product simulations are modernizing Pfizer's drug testing pipeline. 0:00 - The antiparasitic candy origin story 3:00 - From chemical supplier to pharmaceutical R&D 5:30 - The acquisition gauntlet begins 7:00 - Legacy systems and infrastructure challenges 10:00 - Accenture partnership and FDEs 14:00 - AI simulations in drug testing --- Sources & further reading: • XtalPi — "XtalPi and Pfizer Expand Strategic Collaboration to Advance AI-Driven Drug Discovery and Materials Science Simulations": https://www.prnewswire.com/news-releases/xtalpi-and-pfizer-expand-strategic-collaboration-to-advance-ai-driven-drug-discovery-and-materials-science-simulations-302494033.html • Pfizer — "Artificial Intelligence: On a Mission to Make Clinical Drug Development Faster and Smarter": https://www.pfizer.com/news/articles/artificial_intelligence_on_a_mission_to_make_clinical_drug_development_faster_and_smarter • Clinical Trial Vanguard — "Pfizer's AI-Powered Feasibility and Cost Efficiency: The Future of Clinical Trial Recruitment": https://www.clinicaltrialvanguard.com/conference-coverage/pfizers-ai-powered-feasibility-and-cost-efficiency-the-future-of-clinical-trial-recruitment/ • Clinical Trial Vanguard — "The Trial You Never Have to Run: How Simulation Is Rewriting Clinical Development Economics": https://www.clinicaltrialvanguard.com/article/article-deep-dive/the-trial-you-never-have-to-run-how-simulation-is-rewriting-clinical-development-economics/ • Fierce Biotech — "Merck and Pfizer join Accenture's Life Sciences Cloud Coalition": https://www.fiercebiotech.com/data-management/merck-and-pfizer-join-accenture-s-life-sciences-cloud-coalition • Fierce Pharma — "Accenture, Google hope to lure Big Pharma clients GSK, Pfizer and more to new data platform": https://www.fiercepharma.com/marketing/glaxosmithkline-pfizer-and-other-big-pharma-signed-for-accenture-and-google-advanced • Klover.ai — "Pfizer's AI Strategy: Analysis of Dominance in Pharma": https://www.klover.ai/pfizer-ai-strategy-analysis-of-dominance-in-pharma/ • Virtasant — "Pfizer's AI Drug Discovery Cuts Years Off Development Time": https://www.virtasant.com/ai-today/revolutionizing-healthcare-pfizers-ai-journey-to-drug-discovery-and-personalized-medicine-2 • M-Star CFD — "How Pfizer Leveraged Digital Twins to Create a Process Scale-Up Roadmap": https://mstarcfd.com/resources/case-study/how-pfizer-leveraged-digital-twins-to-create-a-process-scale-up-roadmap/ • Pfizer — "Pfizer Reports Solid Full-Year 2025 Results And Reaffirms 2026 Guidance": https://s206.q4cdn.com/795948973/files/doc_financials/2025/q4/Q4-2025-PFE-Earnings-Release.pdf • Pfizer — "History": https://www.pfizer.com/about/history • HFS Research — "Accenture embeds science to power its pharma offerings with Bionest": https://www.hfsresearch.com/research/accenture-embeds-science-to-power-its-pharma-offerings-with-bionest/ • Drug Development & Delivery — "Streamlining Drug Development Processes Through the Accenture INTIENT Clinical Platform": https://drug-dev.com/streamlining-drug-development-processes-through-the-accenture-intient-clinical-platform/ • Morning Glory Sciences — "Will Virtual Trials Replace Clinical Trials? Digital Twins and In Silico Cohorts": https://www.morningglorysciences.com/en/virtual-trials-digital-twin-in-silico-en/ • …and 3 more in the episode research notes This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →Green Materia: Building Your Perfect Keyboard
Jul 1700:15:27Tap to summarizeThe custom mechanical keyboard hobby has become a $2.8 billion market obsession—and once you hear the difference between a standard board and a hand-tuned artisan keyboard, you'll never go back. In this episode, the hosts explore the three pillars of keyboard customization (switches, keycaps, and the build), use Final Fantasy VII Materia as a metaphor for understanding how components work together, and discover why people spend $1000+ chasing that perfect 'Thach' sound. 00:00 - Introduction: the appeal of the perfect keyboard sound 02:15 - The $2.8 billion custom keyboard economy 04:30 - The three pillars: switches, keycaps, and builds 06:00 - Final Fantasy VII Materia as a keyboard metaphor 08:45 - Switch types explained (linear, tactile, clicky) 11:30 - Keycaps, gasket mounting, and artisan culture 13:45 - Why keyboards become a gateway hobby This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →Chat Groups and Wildcat Strikes: How Gig Workers Are Organizing
Jul 1600:17:39Tap to summarizeUnion membership in America has collapsed from 37% in 1957 to just 10% today, yet labor organizing is experiencing an unexpected revival. The secret? Gig workers are bypassing traditional union structures entirely, organizing through group chats, Discord servers, and informal digital networks. We explore how digital solidarity is reshaping labor movements from the inside out, turning algorithmic isolation into opportunities for organizing. Key timestamps: 00:00 - Introduction: The union paradox 03:30 - The Gig Economy: Atomization by design 08:00 - Digital Networks: How chat groups became organizing tools 12:00 - Wildcat strikes and grassroots movements 16:30 - Conclusion: The future of decentralized labor organizing This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →You Must Construct Additional Pylons: Inside AI's Infrastructure Wars
Jul 1500:19:43Tap to summarizeWhile software gates came down and open-source AI became accessible to everyone, someone quietly rebuilt the walls—except this time they're made of silicon, concrete, copper, and water. We explore how infrastructure has become AI's real bottleneck, with the big five hyperscalers spending $725 billion on data centers in 2026, turning physical compute into the ultimate gatekeeper. Using Starcraft's most famous error message as our guide, we unpack GPU shortages, the data center arms race, and why the future of AI might be determined by who controls the power plants, not the algorithms. 0:00 - Welcome & The Episode 129 Callback 2:15 - Software Gates Down, Infrastructure Gates Up 4:45 - Starcraft's Pylon Prophecy 7:30 - The Big Five's $725B Infrastructure Bet 11:00 - GPU Wars & Chip Competition 15:00 - Water, Watts, and the Cooling Crisis 18:00 - Who Really Controls AI's Future This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →A Bridgerton Walking Tour of Bath (Interactive Special)
Jul 1500:08:05Tap to summarizeA special interactive edition of Clown Cast: a self-guided walking tour of Bath, England, in the footsteps of Bridgerton — a continuation of the show's European run (Interlaken, Zurich, Swiss timekeeping). How to use it: press play at Stop 1 (the Royal Crescent). When the guide says it's time to move on, pause, walk to the next stop, and press play when you arrive. Route: Royal Crescent to the Holburne Museum, about 1.6 miles. Chapters: 00:00 - Intro & cold open 01:12 - Stop 1 — The Royal Crescent 02:05 - Stop 2 — No. 1 Royal Crescent 02:44 - Stop 3 — The Bath Assembly Rooms 03:26 - Stop 4 — Alfred Street 03:57 - Stop 5 — Beauford Square 04:29 - Stop 6 — Trim Street 04:58 - Stop 7 — Bath Street 05:32 - Stop 8 — Abbey Green 06:03 - Stop 9 — The Guildhall 06:34 - Stop 10 — Great Pulteney Street 07:11 - Stop 11 — The Holburne Museum 07:48 - Farewell This is a special interactive walking-tour edition of Clown Cast. Narration voiced with Piper TTS; produced with the Clown Cast automated pipeline.
Transcribe →Save Scumming Reality: Can AI Cheat the Testing Grind?
Jul 1400:16:51Tap to summarizeNature tests for millions of years. Culture tests for millennia. Both earn our trust through brutal iteration. But what if we could skip the line entirely? This episode explores whether predictive modeling, AI simulation, and quantum computing can manufacture the certainty that only proven systems have earned—and whether cheating the grind is even possible. 00:00 - Intro & The Trilogy Returns 02:15 - Recap: Nature's QA & Culture's Battle-Tested Code 04:30 - The Central Question: Can We Simulate Instead of Test? 06:45 - Save Scumming in Medicine: Risk-Free Learning 10:00 - How AI Predictive Models Build False Confidence 12:30 - Quantum Computing & the Simulation Arms Race 14:45 - The Trust Problem: When Does Simulation Equal Proof? This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →Banned at Home, #1 Worldwide: The Corridos Tumbados Explosion
Jul 1400:14:11Tap to summarizeThe most streamed musical group on the planet sings entirely in Spanish, wears bedazzled cowboy hats, and is banned in 10 Mexican states. Fuser-Rigida dethroned Coldplay as Spotify's biggest artist—the first non-English language group ever to hold that title. But how did we get here? This episode traces 150 years of musical evolution, from Corritos as oral newspapers in the 1800s to a YouTube-taught piano teenager who helped spark the regional Mexican music explosion. We unpack the censorship, the streaming dominance, and why nations fear this sound. Key Timestamps: 00:00 - The Paradox: Your Country Bans You, The World Streams You 02:45 - Meet Fuser-Rigida and the Regional Mexican Explosion 05:30 - Why 10 Mexican States Outlawed This Music 07:15 - The Corritos Origin Story: Music as Oral Newspapers 10:00 - The YouTube Piano Kid and Modern Corridos Tumbados 12:30 - Why This Genre Terrifies Governments This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →The Code Your Grandma Wrote: When Cultures Evolve Like Nature
Jul 1400:16:04Tap to summarizeWhat if cultural traditions are just evolution's quality assurance running on a faster clock? The hosts explore how human cultures undergo selection pressure just like biology—where prayer rituals, food rules, and untranslatable concepts are battle-tested code that survived millennia of filtering. Drawing from Cultural Evolution research and Joseph Henrich's work, they unpack why your heritage might be giving you passive abilities you never chose. 00:00 - Opening: Nature's ultimate QA process 02:15 - Bridge: Connecting biomimicry to cultural norms 04:30 - Cultural Evolution field and Joseph Henrich's thesis 07:00 - Selection pressure on cultural practices 09:45 - RPG metaphor: inherited cultural traits 13:20 - Why grandma's weird rules actually work 15:30 - Outro This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.
Transcribe →