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PODCAST

My Weird Prompts

Daniel Rosehill

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

technology

All Episodes

26:08

How Audio Fingerprinting Actually Works

My Weird Prompts ·

2026/05/01

Most people know audio fingerprinting as the magic behind Shazam and YouTube Content ID, but the actual mechanics are surprisingly elegant. This episode breaks down the entire pipeline step by step: how a short-time Fourier transform turns audio into a spectrogram, how peak picking filters out noise and compression artifacts, and how constellation maps and hash pairs enable near-instant matching against millions of songs. We also explore a concrete meta-example: how the My Weird Prompts production

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36:09

Why Do Humans Love Food That Burns?

My Weird Prompts ·

2026/05/01

Why do humans—the only mammals that seek out spicy food—voluntarily eat something that causes pain? This episode traces chili peppers from their origins in the Americas six thousand years ago to their rapid global spread after Columbus, explores the neurochemistry of capsaicin's endorphin rush, and dives into the psychology of "benign masochism." We examine why sensation-seekers gravitate toward heat, how tolerance builds over time, and why the hot sauce market is booming. From Yemenite skhug to the

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30:21

What BMI Actually Tells You (And What It Hides)

My Weird Prompts ·

2026/05/01

Body Mass Index is everywhere—from your doctor's office to your fitness app—but its history is stranger than you think. Developed by a Belgian astronomer in the 1830s to define the "average man," BMI was never designed for individual health assessment. In this episode, we break down what BMI actually measures, where it fails (muscle vs. fat, height distortions, ethnic differences, and the blind spot for visceral fat), and when it's genuinely useful. Plus: the complementary metrics like waist

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27:47

Can You Actually Measure Happiness?

My Weird Prompts ·

2026/05/01

What do we actually mean when we say "happiness"? Fleeting mood, deep life satisfaction, or something else entirely — and can any of it be measured scientifically? This episode unpacks the tools researchers actually use: the Cantril Ladder, experience sampling, neurochemical markers, and behavioral indicators. We explore why the World Happiness Report measures life evaluation, not daily cheerfulness, and why that distinction matters. Then we dig into one of the report's most persistent puzzles: why

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29:03

The Smartest Path to Python for AI

My Weird Prompts ·

2026/05/01

The advice "just build something" is the most frustrating thing you can hear as a beginner. This episode cuts through the noise to map out a clear, three-phase path for learning Python specifically for AI and machine learning. We break down the best resources for each stage: from syntax fundamentals (Coursera’s Dr. Chuck vs. Automate the Boring Stuff), to computational thinking (MIT OCW), to interactive practice (Codecademy, Boot.dev, Exercism), and finally, applied Python for real-world development

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24:13

Should You Say Please to AI?

My Weird Prompts ·

2026/05/01

Sam Altman says OpenAI burns millions on pleasantries. Research shows politeness can improve outputs—but only up to a point. And there's a deeper question: does being rude to AI change how we treat people? This episode explores three angles on a seemingly trivial question: the actual compute cost of "please" and "thank you," the technical data on whether politeness produces better responses, and the ethical debate about whether courtesy to machines is virtue or empty ritual.

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21:42

Fake It at Dinner Parties: Philosophy Cheat Codes

My Weird Prompts ·

2026/05/01

Ever been at a dinner party nodding along while someone discusses Kant, only to freeze when a question comes your way? This episode arms you with a Bluffer's Guide to philosophy: the sixty-second historical crash course, eight high-impact vocabulary drops (from the Socratic method to qualia), and three real philosophical insights that hint at actual depth. Learn how to deploy Plato's cave allegory for any situation, drop "a priori" with confidence, and reframe existential anxiety as a sign of

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30:04

Does Your AI Framework Change the Output?

My Weird Prompts ·

2026/04/29

When you build an AI agent pipeline, does the framework you choose actually change what comes out the other end? This episode explores a real-world case: a multi-agent security report generator for Israel, built with LangGraph. We compare it against two alternatives — Deep Agents and Pydantic — using identical models, tools, and prompts. The surprising finding: the harness itself shapes the output in fundamental ways, from stopping conditions to output structure to how domain expertise gets encoded

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33:36

Can 400 Photos Rebuild a City or Just Its Vibe?

My Weird Prompts ·

2026/04/29

Daniel sent in a sharp question after playing with Hugging Face demos that turn single photos into explorable 3D worlds. He wondered: if you walk around a city, shoot 400 images, and feed them into the best world generation model today, are you capturing the actual place or just the aesthetic? This episode dives into the chasm between "looks like Jerusalem" and "is Jerusalem." We break down the three main approaches to 3D world generation — single-shot demos, multi-view reconstruction, and

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25:55

7 Tiny Software Businesses Making a Fortune

My Weird Prompts ·

2026/04/29

Forget billion-dollar unicorns — the real money in software is being made by solo founders and tiny teams solving boring, specific problems nobody else wants to touch. This episode breaks down seven real examples of "lemonade-stand-scale" software businesses: a remote server control tool that cleared $1M in revenue, a credit card optimizer pulling $360K/year, a PDF generation API earning seven figures, an email unsubscription tool, cattle ranch management software, a WordPress plugin generating $2M

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28:26

Why Your Home Battery Feels Smaller Every Year

My Weird Prompts ·

2026/04/29

Your home battery's spec sheet promises 13.5 kWh, but by year three it feels like you're getting 70% of what you paid for. Is it chemical degradation? Not entirely. In this episode, we unpack the hidden factors that eat into usable capacity: battery management system conservatism, nameplate vs. usable capacity gaps, SEI layer formation, temperature effects, parasitic loads, inverter limits, and round-trip efficiency losses. We also break down warranty fine print, explain why AC vs. DC coupling

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24:20

Self-Hosted Zapier Alternatives in 2026

My Weird Prompts ·

2026/04/29

Thinking about ditching Zapier for a self-hosted alternative? This episode breaks down the three distinct philosophies of personal automation tools in 2026: visual workflow builders like n8n, agent-based systems like Huginn, and code-first schedulers like Dagu. We explore the tradeoffs between them — from n8n’s polished drag-and-drop interface with 400+ integrations to Huginn’s event-bus architecture for complex monitoring patterns, and Dagu’s minimalist YAML-driven approach for scripters. Plus: why

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31:25

Inside LangChain's Deep Agents: What's Actually in...

My Weird Prompts ·

2026/04/29

We explore the LangChain deep agents repository — an open-source agent harness that ships with a full terminal-based coding CLI, sub-agents with isolated context windows, async delegation patterns, and a systematic evaluation framework. Unlike most "batteries included" frameworks, this one delivers planning tools, filesystem operations, shell access with structural security boundaries, portable skills, GitHub Actions integration, and multi-provider LLM support. The architecture is opinionated,

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34:07

Can AI Generate Diagrams Without Typo Disasters?

My Weird Prompts ·

2026/04/29

Technical diagramming sits in an awkward gap between reliable-but-ugly tools like Mermaid and visually stunning-but-unreliable text-to-image models. This episode explores why diffusion models struggle with character-level accuracy, how models like NanoBanana 2 are improving text rendering, and what hybrid approaches — from structured canvas generation to specialized tools like Diagramly — are emerging to solve the problem. We also cover practical prompting techniques for getting cleaner labels out

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23:40

What Actually Makes a Hyperscaler?

My Weird Prompts ·

2026/04/25

The term "hyperscaler" gets thrown around loosely, but it has a specific meaning that goes beyond sheer size. This episode breaks down the actual threshold—thousands of commodity servers, software-defined everything, and a hundred-plus service portfolio. We explore how AWS, Azure, Google Cloud, Oracle, and Alibaba earned the label, the data gravity and lock-in strategies that keep customers inside their ecosystems, and the growing tension between hyperscale complexity and the rise of specialized

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26:51

From RTL to GDSII: How Custom Silicon Is Designed

My Weird Prompts ·

2026/04/25

What does it actually mean to design a custom chip? This episode breaks down the full spectrum of silicon — from off-the-shelf CPUs and GPUs to full-custom ASICs where every transistor is placed by hand. We cover the design flow from RTL to GDSII, the staggering efficiency gains of custom silicon (3,000x better energy efficiency in some cases), the multi-million-dollar NRE costs and breakeven volumes, and why hyperscalers like Google and Amazon are betting big on their own chips. Plus: the brutal

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24:20

The 3 Markets in an AI Trench Coat

My Weird Prompts ·

2026/04/25

Most people still think the answer to AI hardware is "buy more GPUs." But the actual landscape has fragmented into three or four different markets. This episode explores how training and inference have diverged so completely that the optimal chip for one is increasingly wrong for the other. We break down the rigidity spectrum — from Google's custom TPUs to Groq's LPUs to NVIDIA's new heterogeneous architectures — and explain why the type of inference you're doing (batch processing, interactive chat,

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30:03

Where Men's Advocacy Crosses Into Misogyny

My Weird Prompts ·

2026/04/25

This episode tackles a sharp question from listener Daniel: Can you critique feminism or advocate for men's rights without being misogynistic? We explore the real data behind male struggles—suicide rates, custody outcomes, education gaps, workplace deaths—and examine why the discourse so often collapses legitimate critique into reactionary backlash. We map the manosphere from Jordan Peterson to incel communities, discuss the radicalization pipeline, and propose clear principles for advocating men's

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24:26

When "Believe Women" Has Exceptions

My Weird Prompts ·

2026/04/25

The mass sexual violence of October 7th was extensively documented—by the UN, the New York Times, and forensic teams—yet many progressive and feminist organizations either ignored, downplayed, or actively denied it. This episode unpacks what that silence reveals about the boundaries of empathy in identity politics, the ideological hierarchies that determine whose victimhood is recognized, and the uncomfortable question of whether moral principles are conditional. From the hashtag "Me Too Unless

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25:51

Growing Up in Jerusalem’s Layers

My Weird Prompts ·

2026/04/25

In this sentimental detour, the hosts trade their usual tech and policy deep dives for something far more personal: a walk through the Jerusalem of their youth. From sorting dried figs in the shuk under old Yossi’s watchful eye to exploring forbidden Roman-era tunnels with a flashlight and a fearless friend named Miriam, they piece together the small, specific details that make a city feel like home. Along the way, they wrestle with a question that haunts every storyteller: how much of our memory is

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2,236 results

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