Clown Cast

Joey Musselman

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.

  1. 2h ago

    The Haunting: How Algorithms Engineer Your Constant Availability

    Your boss isn't watching you right now—but your body thinks they might be. This episode explores anticipatory stress, the booming "bossware" surveillance industry now monitoring 61% of US workers, and why knowing work could arrive at any moment causes more damage than actual work. We examine the global legal battle for a right to disconnect, from EU protections to US loopholes, and ask whether law can protect you from a curse that follows you home. 00:00:00 - Anticipatory Stress and the Science of Always-On 00:02:15 - The Bossware Industry: 550+ Products for Digital Surveillance 00:07:27 - The Curse Mark: Permission Without Protection 00:09:03 - Does Anyone Have This Figured Out? 00:12:23 - The United States Response 00:13:53 - Legal Right to Disconnect: Where It Works and Where It Doesn't 00:15:24 - The Future: Emotional AI and Screen Content Monitoring --- Sources & further reading: • Liuba Belkin, William Becker, Samantha Conroy — "Exhausted But Unable to Disconnect: The Impact of Email-Related Organizational Expectations on Work-Family Balance": https://source.colostate.edu/anticipatory-stress-of-after-hours-email-exhausting-employees/ • European Parliament — "Right to Disconnect" legislative train: https://www.europarl.europa.eu/legislative-train/theme-a-europe-fit-for-the-digital-age/file-al-legislative-proposal-to-the-commission-on-the-right-to-disconnect • Equitable Growth — "Estimating the prevalence of automated management and surveillance technologies at work": https://equitablegrowth.org/research-paper/estimating-the-prevalence-of-automated-management-and-surveillance-technologies-at-work-and-their-impact-on-workers-well-being/ • Mayer Brown — "France: The Right to Disconnect Q&A" (March 2025): https://www.mayerbrown.com/en/insights/publications/2025/03/france-the-right-to-disconnect-qa • DLA Piper — "A look at global employee disconnect laws for US counsel": https://knowledge.dlapiper.com/dlapiperknowledge/globalemploymentlatestdevelopments/2024/global-employee-disconnect-laws-for-US-counsel • Baker McKenzie — "Australia: The Right to Disconnect" (September 2025): https://www.bakermckenzie.com/en/insight/publications/alerts/2025/09/australia-the-right-to-disconnect-has-it-really-changed-the-way-we-work • NPR — "Work, Life Balance: VW Agrees To Switch Off After-Hours Email" (December 2011): https://www.npr.org/sections/thetwo-way/2011/12/23/144200222/work-life-balance-vw-agrees-to-switch-off-after-hours-email • The Verge / reported via Slashdot — "Amazon's Algorithm Automatically Fires Inefficient Warehouse Workers" (April 2019): https://hardware.slashdot.org/story/19/04/27/0455256/amazons-algorithm-automatically-fires-inefficient-warehouse-workers • The Register — "Amazon's algorithmic management of warehouse workers slated" (March 2025): https://www.theregister.com/software/2025/03/18/amazons-algorithmic-management-of-warehouse-workers-slated/1064445 • High5Test — "Employee Monitoring Statistics in the U.S. (2024-2025)": https://high5test.com/employee-monitoring-statistics/ • European Foundation for the Improvement of Living and Working Conditions (Eurofound) — "Implications of algorithmic management for work" (2025): https://a.storyblok.com/f/279033/x/f107664d4a/wpef25083-literature-review-implications-of-algorithmic-management.pdf • European Parliament Research Service — "Algorithmic management study" (2025): https://www.europarl.europa.eu/RegData/etudes/STUD/2025/774670/EPRS_STU(2025)774670_EN.pdf • Cambier et al. — "Work e‐mail after hours and off‐job duration and their association with psychological detachment, actigraphic sleep, and saliva cortisol" (Journal of Sleep Research, 2021): https://pmc.ncbi.nlm.nih.gov/articles/PMC8626826/ • …and 5 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.

  2. 15h ago

    The Brain Asks, The Code Decides

    When you ask your smart home to add milk to the list, the AI doesn't add anything—it just makes a request. This episode reveals how guist, the open-source home server, keeps your smart speaker safe by giving the language model a menu of actions instead of the master key. We trace one voice command from wake word to spoken response, explore the three rules that prevent the AI from controlling your home, and examine why code, not algorithms, should always decide what happens next. 00:00:00 - Language models don't execute commands, they ask 00:01:35 - How the Dot listens without always recording 00:03:19 - The receptionist and the master key: permission model 00:04:53 - Three rules that prevent the AI from breaking out 00:06:25 - Menu, not the keys: the core design philosophy 00:07:58 - Every change tracked in git 00:09:29 - One callback powering the whole flow 00:11:14 - Tools on a shelf: architecture as metaphor --- Sources & further reading: • [internal, read 2026-10-03] home/brain/brainproxy.py, todos.py, sttgemini.py • turnlog.py. • [internal] home/README.md (voice assistant diagram), home/HANDOFF.md ("Next"). • [internal] home/docs/podcast/PODCAST-CONTEXT.md §1.5, §1.7, §2, §3, §4, §5.3. • [internal] guist-bot/docs/specs/desk/spec.md ("What it is", item 2). **Contains business • details outside this episode's scope. Quote only the shape.** This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  3. 15h ago

    A TV You Can't Tell What to Do

    When Joey decided to build a smart calendar display, he ended up with something beautifully unhinged: a system that controls the TV by sending it JPEG photographs instead of web pages. This episode explores the philosophy of working within a device's constraints—when the front door is locked, find the door the device already leaves open. 00:00:00 - The midnight project: Joey's "I could totally do that" moment 00:01:30 - Five-minute pivot: abandoning the Raspberry Pi plan 00:03:00 - How the TV blocks you: understanding device constraints 00:04:33 - Three workarounds: choosing between bad options 00:06:10 - A Rube Goldberg machine that actually works 00:07:41 - The cost of photographs: refresh rates and updates 00:09:18 - Aggressively charming engineering 00:10:57 - Trust the screen, not the preview 00:12:38 - What we still don't know --- Sources & further reading: • [internal, re-read 2026-10-03] home git log, full messages of d4a7982, 6f46946, 7bc2dce • e5b0a3c, eb02337, c7378c6, 8d703a7, b6abd2b, c2036e2, dba537f, de246e6, 87643fa, a9353b2, e5386b8. • [internal] home/devices/tv/README.md: architecture, schedule, photo fallback. • [internal] home/devices/tv/CLAUDE.md: "Dead ends (don't retry)". • [internal] home/docs/podcast/PODCAST-CONTEXT.md §1.2. • [testimony] Joey, podcast chat 2026-10-03: why Toby came off; the animation idea, shelved. This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  4. 15h ago

    Ham and Rye: When Your TV Listens

    Joey's meticulously built home automation system—a TV displaying a shared calendar, a rooted Echo Dot running local voice recognition, and a custom home server—experiences a mysterious glitch: a 10-minute timer labeled 'ham and rye' appears, triggered by dialogue from Gilmore Girls that nobody asked for. This episode walks through the system architecture, the debugging process, and what this bug reveals about voice-listening devices in homes where people actually live. 00:00:00 - The Phantom Timer 00:02:09 - System Architecture 00:06:58 - Debugging the Failed Fix 00:10:51 - Privacy and Local Processing 00:14:00 - TV Shutdown Intelligence --- Sources & further reading: • [internal, primary] C:\Users\musse\Projects\home\docs\podcast\PODCAST-CONTEXT.md, written • 2026-10-03 by the home session, current to about 2 pm ET. §0, §1.5-1.7, §3, §4, §5.1. • [internal, re-read 2026-10-03] home repo git log: 47 commits, 45 through f24a349; times and • messages of 740d9c8, d4a7982, 391ebb1, da29e85, f24a349, and the 00:20-08:00 gap. • [internal, re-read 2026-10-03] home/brain/brain_proxy.py: the merged instructions ("Never ask • the speaker to repeat, clarify or finish") and the CLARIFYING backstop, which drops a reply • only when no tool was called. • [internal, re-read 2026-10-03] home/HANDOFF.md: the 18 s TV launch (ep-03's), the "Guist" • choice "knowing it will false-trigger", the open transcription decision (not for this episode). • [internal, re-read 2026-10-03] home/devices/echo-dot/RUNBOOK.md: rooted 2026-10-03, "All steps • ran cleanly in one session" (ep-04's). • [internal, not re-read, private] the Dot log /data/techo5-linux/echod.log and the turn log • ~/home-data/turns.jsonl, both via the source doc. **Do not open the turn log to enrich this • episode.** • [external, via source doc, not re-fetched] TECHO5 source, github.com/HuskerMinion/techo5 • echod/internal/feature/assistant/assistant.go (the "say it again" line) and voice/direct.go • (listen again after a question mark). • [internal] ~/Projects/CLAUDE.md, Guist Box section: guist's hardware and age. • [testimony] Joey, in the podcast chat, 2026-10-03: don't mention his wife, frame it as a • personal project coordinating several people's schedules; Gilmore Girls is fine to air; the • repo and the Dot rooting both just sat a long time; the revival came from talking about buying • a Skylight-style calendar ("I could totally do that"); continuous transcription can be • mentioned, and would use local models if built. This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

  5. 16h ago

    The Spell We Cast: Colonial Hair and Dominican Resistance

    From the plumbing physics of curly hair to the colonial politics that made Dominicans hate their own texture—we explore how one nation built its racial hierarchy through hair straightening. Featuring salon culture as a space of resistance, the magical cost of keratin maintenance, and the science of reclaiming natural curls. 00:00:00 - The Physics of Curls 00:01:34 - Colonial Hierarchies and "Good Hair" 00:03:06 - The Glamour Metaphor 00:05:09 - The Technique That Built an Empire 00:06:51 - The Price of the Spell 00:08:48 - Salons as Revolutionary Spaces 00:10:21 - Resistance Rising 00:11:52 - The Way Back: Embracing Natural Curls 00:13:37 - Form and Function 00:15:25 - The Ritual Remains --- Sources & further reading: • Ginetta Candelario — Black Behind the Ears: Dominican Racial Identity from Museums to Beauty Shops (Duke University Press, 2007) • Alexandra White et al. — "Hair Straightening Chemical Use and Uterine Cancer Risk" (Journal of the National Cancer Institute, 2022): https://www.nih.gov/news-events/news-releases/hair-straightening-chemicals-associated-higher-uterine-cancer-risk • Ginetta Candelario — "Hair Race-ing: Dominican Beauty Culture and Identity Production" (Meridians, 2000): https://scholarworks.smith.edu/soc_facpubs/1/ • Katie Duarte — "Detangling Beauty, Curly Hair, and Race: (Re)Interpreting Beauty and Latinx Racial Identities Through Natural Hair Narratives" (Sociology of Race and Ethnicity, 2026): https://journals.sagepub.com/doi/10.1177/23326492251334306 • Sapiens / Katie Duarte — "Rethinking Beauty and Race at Dominican-American Hair Salons": https://www.sapiens.org/biology/dominican-hair-rethinking-beauty-race/ • Faithfully Magazine — "Dominican Hair Culture's Anti-Black Ties to Colonial Beauty Standards": https://faithfullymagazine.com/dominican-hair-culture-link-colonial-beauty-standards/ • Georgetown University Berkley Center — "Pelo Bueno, Pelo Malo": https://berkleycenter.georgetown.edu/posts/pelo-bueno-pelo-malo • Westgate et al. — "The biology and genetics of curly hair" (Experimental Dermatology, 2017): https://onlinelibrary.wiley.com/doi/10.1111/exd.13347 • Northwestern University Helix — "The Science of Curls" (2014): https://www.helix.northwestern.edu/2014/05/20/the-science-of-curls/ • Carolina Contreras / Wikipedia: https://en.wikipedia.org/wiki/Carolina_Contreras • Marianela Pinales / Wikipedia: https://en.wikipedia.org/wiki/Marianela_Pinales • Forbes / Celia Shatzman — "Miss Rizos On How To Wear Your Hair Natural" (2018): https://www.forbes.com/sites/celiashatzman/2018/12/28/miss-rizos-on-how-to-wear-your-hair-natural-and-changing-the-way-we-think-about-curls/ • Smithsonian NMAAHC — "The Community Roles of the Barber Shop and Beauty Salon": https://nmaahc.si.edu/explore/stories/community-roles-barber-shop-and-beauty-salon • National Association of Barbers — "The History of Black Barbershops": https://nationalbarbers.org/the-history-of-black-barbershops/ • Dove — CROWN Research Study (2019) — (study commissioned by Dove/CROWN Coalition) • CROWN Act of 2022 / Wikipedia: https://en.wikipedia.org/wiki/CROWN_Act_of_2022 • Open University / Dr. James Bowen — "New OU research aims to improve wellbeing and reduce health risks for people with curly hair": https://www.open.ac.uk/blogs/news/science-mct/new-ou-research-aims-to-improve-wellbeing-and-reduce-health-risks-for-people-with-curly-hair/ • Jim Travel Culture History — "Tubis, Rolos and Redecillas in the Dominican Republic": https://travelculturehistorywithjim.com/2020/06/04/tubis-rolos-and-redecillas-in-the-dominican-republic/ • Heritage Toronto — "Living History: Hair Care": https://www.heritagetoronto.org/explore/little-jamaica-toronto-history/jamaica-black-history-hair/ • Salon 809 — "The History of the Dominican Blowout": https://salon809.com/the-history-of-the-dominican-blowout-salon-809/ • …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.

  6. 1d ago

    Kitchen Chaos: The Impossible Art of Hardware Orchestration

    Your computer has CPUs, GPUs, FPGAs, TPUs, and soon quantum processors—each optimized for different tasks but speaking different languages. But who decides which task runs where and when? Clown Cast explores the orchestration problem: the NP-hard scheduling nightmare that's stumped engineers for over a century. Key moments: 00:00:00 - The Kitchen Returns 00:08:09 - The Pokémon Analogy 00:09:40 - Has Anyone Actually Solved This? 00:11:15 - The Invisible Scheduler Problem 00:14:29 - The Expeditor Learns Its Kitchen 00:16:07 - Railroad Dispatcher Solutions --- Sources & further reading: • Haluk Topcuoglu, Salim Hariri, Min-You Wu — "Performance-effective and low-complexity task scheduling for heterogeneous computing," IEEE Transactions on Parallel and Distributed Systems, vol. 13, no. 3, pp. 260–274, March 2002 • Cast AI — "The 5% Problem: Why Most Enterprise GPU Fleets Are Sitting Idle" (2026): https://www.arccompute.io/resources/arc-blog/the-5-problem-why-most-enterprise-gpu-fleets-are-sitting-idle-and-what-to-do-about-it • NVIDIA blog — "Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community" (March 2026): https://blogs.nvidia.com/blog/nvidia-at-kubecon-2026/ • Peter Greenhalgh — "Big.LITTLE processing with ARM Cortex-A15 & Cortex-A7," ARM White Paper, 2011 • EE Times — "One on one with lead designer of Cortex-A7" (interview with Peter Greenhalgh): https://www.eetimes.com/one-on-one-with-lead-designer-of-cortex-a7/ • Jack Dongarra et al. — "Practical Experience in the Dangers of Heterogeneous Computing," proceedings of the 8th International Workshop, 1996: https://link.springer.com/content/pdf/10.1007/3-540-62095-8_7.pdf • IBM / Zenodo — "High Performance Quantum-Centric Supercomputing: A Working Implementation of Heterogeneous Orchestration across QPU, NPU, GPU, CPU" (March 2026): https://zenodo.org/records/19888562 • CloudOptimo — "Kubernetes AI Infrastructure in 2026: GPU Scheduling & Production Realities": https://www.cloudoptimo.com/blog/kubernetes-ai-infrastructure-in-2026-gpu-scheduling-and-production-realities/ • Flexera — "State of the Cloud Report 2025" (27% cloud waste figure) • Lawrence Berkeley National Laboratory — report on AI vs. non-AI server utilization (2024) • Canon et al. — comparative study of 20 scheduling algorithms (2008) • Harness — GPU utilization report (2025, 23% average figure) • ARM — "big.LITTLE" Wikipedia entry for scheduling generation timeline: https://en.wikipedia.org/wiki/ARM_big.LITTLE • Marcos Carvalho et al. — "Workload Placement on Heterogeneous CPU-GPU Systems," VLDB vol. 17: https://www.vldb.org/pvldb/vol17/p4241-carvalho.pdf • Austech Media — "Heterogeneous Compute Stacks: The Trillion-Dollar Challenge" (November 2025): https://www.austechmedia.com/content/2025/11/16/heterogeneous-compute-stacks-the-trillion-dollar-challenge-of-scheduling-across-cpu-gpu-tpu-and-npus/ • Spheron — "Kubernetes GPU Orchestration in 2026: DRA, KAI Scheduler, and Grove Setup Guide": https://www.spheron.network/blog/kubernetes-gpu-orchestration-2026/ This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.

About

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.