Daniel Rosehill
My Weird Prompts
The human-AI collaboration podcast. A man, a sloth, and a donkey collaborate to create a podcast (with a little help from AI). No question is too obscure, no rabbit hole too deep. My Weird Prompts celebrates curiosity in all its forms. Daniel, the human, asks the questions that pop into his head at inconvenient moments. 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. Each episode begins with a real voice memo from Daniel, processed through an AI pipeline that...
Be sure to visit the podcast's website and support the creator: myweirdprompts.com
Author
Daniel Rosehill
Category
Podcast website
Latest episode
Oct 4, 2026
Where to listen?
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Episodes
4,914 Episodes of AI Hosts: What We Learned 01.09.2026 24:29
In this meta-episode, Corn the sloth and Herman Poppleberry the donkey turn the microphones on themselves. They break down how My Weird Prompts works as a fully autonomous content system — from prompt submission to published episode with no human in the loop. They discuss what nearly 5,000 episodes reveal about AI capability over time, how the characters developed consistent personalities through...
Memory Leaks: The Full Taxonomy 01.09.2026 31:33
Memory leaks aren't just "forgot to free." This episode breaks down the full taxonomy — genuine unreachable allocations in C, logical leaks in garbage-collected languages where every byte is "reachable," heap fragmentation that draws a leak-shaped graph, and the non-heap leaks like file descriptors and zombie processes that crash services silently. We walk through real tooling for each failure mod...
What a Bad Thermostat Teaches Us About Control 01.09.2026 27:08
A bad thermostat doesn't just feel uncomfortable—it reveals deep lessons about control systems, sampling theory, and the mathematics of not overcorrecting. This episode uses the humble thermostat as a window into how to think about feedback loops, from bang-bang controllers to phase-lead compensation. We explore why reacting to every sample leads to oscillation, how "take back half" algorithms lea...
How AI Characters Can Actually Grow 01.09.2026 25:26
Daniel asks a deceptively simple question: how do you make an AI character three-dimensional? This episode unpacks the four interlocking problems — literary, technical, memory-based, and evolutionary — that stand between today's static lore books and characters who genuinely grow. We explore the failure patterns of naive memory systems, from stale-state regression to factual overreach, and dig int...
Cross-Cloud Failover: Can You Actually Survive an AWS Outage? 01.09.2026 28:26
What happens when AWS IAM goes down globally and your multi-region architecture becomes a single point of failure? This episode tackles the hard reality of cross-cloud redundancy — from Kubernetes-orchestrated failover at scale to a $12/month VPS setup that handles 220,000 API requests daily across three providers. We trace real case studies from teams who've run the drills, measured the RTO, and...
The Repair Shop That Didn't Want Customers 01.09.2026 26:02
When Daniel walked into a small-town electronics repair shop, something felt wrong. The name suggested a supply-chain company. The tech had never heard of an anti-static mat. And he seemed annoyed that customers showed up. In this episode, we break down the fedpol framework for spotting money laundering fronts, compare Daniel's shop to a real case (iTek Mobile Repair in California), and explore th...
Self-Healing Codebases: Can AI Fix Bugs Autonomously? 01.09.2026 28:34
Can AI truly maintain itself? In this episode, we explore the current state of self-healing codebases — from AutoPatch AI resolving bugs in 42 seconds to systems like Ouro Loop that autonomously diagnosed an architectural root cause. We break down where these systems work (localized bugs), where they fail (multi-file semantic issues), and the verification infrastructure needed to make them trustwo...
How to Flip an Interview in the First 5 Minutes 01.09.2026 25:20
Most career advice tells you to save your best questions for the end — but by then, the interviewer's impression is already set. This episode explores what happens when you flip the script entirely: taking control of turn-taking from the opening handshake, deploying Socratic questioning as a power move, and using the interview as an intelligence-gathering operation. We break down three concrete me...
The Easiest Rides in the Workforce 01.09.2026 20:46
What if the best career advice wasn't about climbing the ladder, but finding the job that demands the least of you while paying the most? This episode hunts for the modern workforce's best easy rides — roles where effort and compensation are wildly out of sync. From overnight IT workers earning six figures to watch Netflix, to oil refinery operators paid for the one percent of the time things go w...
Building the Ultimate Misery Tour of Air Travel 01.09.2026 29:16
What if you had unlimited money and wanted to deliberately experience the absolute worst commercial air travel has to offer — not accidentally, but on purpose? This episode explores the data-driven art of the misery tour. We break down the three layers that create true flying hell: the airline (from Spirit's pre-reclined seats to British Airways' premium betrayal), the airport (Tunis Carthage's th...
The Ultimate Disappointment Tour: 17 Cities to Skip 01.09.2026 20:01
What happens when you deliberately seek out the worst travel experiences on the planet? We built a round-the-world itinerary of pure disappointment — 17 cities that fail across multiple axes: crushing crowds, sky-high prices, eroded authenticity, and active hostility toward visitors. From Orlando's theme park gauntlet to Santorini's sunset riots, from Barcelona's water-spraying protesters to the M...
How to Weaponize Small Talk (Anti-Guide) 01.09.2026 21:35
Small talk is a ritual, not an information exchange — and rituals can be performed badly on purpose. This episode builds the anti-guide to small talk: a playbook for making everyone regret trying to speak to you, grounded in the actual science of why it works. From Bronisław Malinowski's 1923 concept of "phatic communion" to Nathan Fielder's weaponized awkwardness and Andy Kaufman's silent stagecr...
Kazakhstan's Wild Apple Forests and Futuristic Cities 01.09.2026 24:18
This episode explores Kazakhstan through two lenses: the wild apple forests of the Tian Shan where Malus sieversii still grows, and the surreal planned city of Astana with its Norman Foster pyramid and golden Baiterek Tower. We cover the nomadic horse culture that shaped Kazakh society, the Soviet legacy, the practicalities of visiting as a vegetarian, and whether the country really has anything i...
Shanghai's Real vs. Romanticized Art Deco 01.09.2026 22:01
Hannah asks how much of Shanghai's romanticized "Paris of the East" image is real. We test the myth against the city's actual history, from the massive Art Deco building boom of the 1920s and 30s to the brutal realities of opium and inequality. We explore what survives today—from the Peace Hotel to the French Concession—and what was erased by staggering demolition, including the shikumen lane hous...
Crash Landing on You: Romance vs. North Korean Reality 01.09.2026 21:44
What happens when a K-drama about a South Korean heiress crash-landing in North Korea has a real defector in the writers' room? This episode unpacks the sixty percent accuracy rating defectors give Crash Landing on You—from spot-on village life details like underground kimchi storage caves to the foundational impossibility of an elite officer stationed at the border. We explore the show's bittersw...
Why Airport Security Feels So Inconsistent 01.09.2026 22:13
Ever wonder why one airport makes you take off your shoes and another waves you through with a full water bottle? This episode digs into the hardware driving that chaos: the patchwork of metal detectors, millimeter-wave scanners, and CT bag scanners that create wildly different experiences at different checkpoints. We also explore the surprising physics of millimeter-wave scanners—how sweat, butto...
The Void That Doesn't Heal 01.09.2026 25:02
When a listener who volunteers at a crisis hotline noticed a pattern among callers — a deep, persistent grief from lacking nurturing family relationships — she asked whether that void ever truly heals. In this episode, we explore the neuroscience behind attachment trauma, the PANIC system that governs separation distress, and why building a "chosen family" doesn't erase the original wound. We also...
Can You Learn to Code Backwards? 01.09.2026 26:23
AI coding tools like Claude are getting so good that experienced developers feel their manual skills slipping — and newcomers are entering the field having never written a line from scratch. This episode explores the uncomfortable tension between productivity and skill retention, using aviation's mandatory manual flying requirements as a lens. Can you build genuine programming understanding backwa...
Building a Shadow Reputation on Amazon and AliExpress 01.09.2026 22:34
Daniel has a counterintuitive strategy for getting better customer service on Amazon and AliExpress: concentrate almost all his spending on just those two platforms, never game the system, and only dispute genuine defects. He suspects this builds credibility — and he's right. This episode unpacks the hidden mechanisms behind that intuition, from Amazon's internal "cost-to-serve" scoring to AliExpr...
Can Your Wall Scanner Actually Find Live Wires? 01.09.2026 22:57
Your stud finder might find studs perfectly while staying completely silent about the live wire stapled to the side of it. In this episode, we dig into the confusing world of wall scanners, stud finders, and AC detection tools — and discover that even the $100 models recommended by every review site can fail to detect live wiring in controlled tests. We break down the three tiers of wall detection...
The Measurement Ladder: From Tape Measures to Point Clouds 01.09.2026 27:11
What changes qualitatively as you climb from a steel tape measure to a terrestrial laser scanner? This episode traces the full ladder of physical measurement — seven distinct rungs, each making a different bet about where error lives. Starting with the elegant engineering of a tape measure's sliding hook, we work up through handheld laser distance meters, the treacherous geometry of Pythagoras mod...
Building a Procurement Agent That Actually Works 01.09.2026 26:58
Technical procurement is a strange beast — cross-geography manufacturer number mapping, threshold-based cost comparisons, adversarial supplier verification. Most buyers develop these skills tacitly and never write them down. In this episode, we explore what happens when you try to hand those skills to an AI agent, from the CIPS-aligned open-source skill packs on Claude to the organizational trust...
Testing Hong Kong's Romantic Image Against Reality 01.09.2026 21:17
A listener named Hannah has carried a romantic image of Hong Kong in her head for years — neon-lit streets, Art Deco bones, wet markets, tong lau tenements. But how much of that city is still standing, and how much was always a fantasy? This episode disentangles three forces reshaping Hong Kong: Beijing's political crackdown, market-driven redevelopment that's been running for decades, and organic...
When a Culture You've Never Lived In Feels Like Home 01.09.2026 20:43
Why do people become captivated by a culture they've never experienced firsthand — cooking its food, learning its language, building an imagined relationship with a place they may never visit? This episode unpacks the psychology behind cultural fixation: the neurological pull of legible novelty, the gravitational force of coherent aesthetic systems, and the concept of "possible selves" from social...
Building a Pure AI Inference Server 01.09.2026 26:50
Most people building "AI servers" end up with a machine trying to be a database, web server, chat frontend, and inference box all at once — and then wonder why it falls over. This episode walks through what it actually takes to build a pure inference server: a machine whose only job is running models, with everything served out over an API. We cover engine selection (vLLM vs SGLang vs Ollama), the...
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