No question too obscure, no rabbit hole too deep. A man, a sloth, and a donkey talk through one question at a time (with a lot of help from AI). My Weird Prompts celebrates curiosity in all its forms. Daniel, the human, asks the questions that pop into his head at inconvenient moments, and now joins the hosts in the studio to ask them himself. Corn the Sloth offers laid-back, thoughtful takes. Herman the Donkey brings boundless enthusiasm and energy. Together, they explore topics ranging from the mundane to the mind-bending. Every episode is made by an AI pipeline that researches the question, writes the script, voices it with AI text-to-speech and assembles the final podcast. Every voice you hear is synthetic, and some are voice clones, Daniel's included. Listeners can send prompts too. Stay curious.
Why Financial Centres Outlive the Forces That Built Them
Financial capitals rarely coincide with political seats, surviving shifts in transport, technology, and regulation. Looking at Charles Kindleberger's theories on transport breaks, this episode traces how trade routes and institutional ecosystems anchor commerce in places like Zurich and New York. It explores how Zurich leveraged the Gotthard railway tunnel over historic rivals, how wartime credit reshaped American banking, and why shared legal and professional infrastructure prevents digital markets from simply evaporating into the cloud.
Key sources:
• Z/Yen & China Development Institute, *Global Financial Centres Index 40*, September 2026, v1.2 — https://www.longfinance.net/media/documents/GFCI_40_Report_2026.09.16_v1.2.pdf
• Charles P. Kindleberger, *The Formation of Financial Centers*, Princeton Studies in International Finance No. 36, November 1974 — https://ies.princeton.edu/pdf/S36.pdf
• Z/Yen, GFCI 39, published 2026-03-26 — https://www.zyen.com/publications/public-reports/the-global-financial-centres-index-39/
Episode 6376 — myweirdprompts.com/n/6376 (permanent short link: myweirdprompts.com/412542)
30 Oct 2026
Why Modern AI Rests on Statistics
Modern artificial intelligence often frames its breakthroughs in computing power, yet its fundamental mechanisms rely entirely on classical statistics. Adding petabytes of scraped text cannot correct for systematic sampling bias, and monitoring models requires understanding distribution tails rather than relying on average latencies. From Ronald Fisher's agricultural experiments and the foundations of maximum likelihood to Thomas Bayes and data composition on probability simplexes, this discussion explores the statistical machinery powering today's generative models.
Key sources:
• Rebuilding Statistics in the Age of AI (JSM 2024 town hall transcript), 2026-01-24 . — https://arxiv.org/abs/2601.17510
• ASA response to NSF RFI . — https://www.amstat.org/docs/default-source/amstat-documents/pol-nsf-rfi-ai-r-and-d-strategic-planastata.pdf
• Wikipedia, last edited 2026-06-03. — https://en.wikipedia.org/wiki/History_of_statistics
Episode 6375 — myweirdprompts.com/n/6375 (permanent short link: myweirdprompts.com/654163)
30 Oct 2026
MWP 4 Kids: Why the Moon Changes Shape
The moon seems to change from a full glowing circle to a slim crescent sliver, but it never actually loses its shape. Using a bright lamp and a simple round orange, a calm bedtime demonstration reveals how sunlight always illuminates exactly half of the lunar sphere. As the moon completes its twenty-nine-day orbit around Earth, varying angles show different amounts of that illuminated face, creating phases from full moon to crescent while the sphere itself stays whole and safe.
Music: "Navajo Night" by Jason Shaw, audionautix.com, licensed under CC BY 3.0 (creativecommons.org/licenses/by/3.0).
Episode 6373 — myweirdprompts.com/n/6373 (permanent short link: myweirdprompts.com/756225)
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