My Weird Prompts

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...

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...

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...

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...

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...

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...

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...

The received wisdom says serious AI inference needs a GPU — but that's not the full story. This episode unpacks the real bottlenecks: memory bandwidth vs. parallel compute, prefill vs. decode, and the surprising workloads where CPU actually wins. From classical ML models like XGBoost to Whisper transcription and Mixtral on a laptop, we explore when the GPU advantage compresses from 100x to 6x, and...

When you dictate a messy to-do list and want clean JSON out, the question isn't just whether to fine-tune or prompt a general model — it's whether you can tolerate fabricated deadlines or missed tasks. This episode breaks apart format adherence, judgment quality, and failure predictability, exploring where fine-tuning actually moves the needle and where the real cost lies: not in compute, but in a...

Daniel needs to extract structured data from product labels and book covers — serial numbers, titles, authors, and a wildcard field for anything unexpected. Should he use a general vision model like GPT-4V or build a purpose-trained pipeline? We break down the real tradeoffs: accuracy on tiny rotated text, cost at scale, offline capability, how each approach handles the novel-fields requirement, a...

Most tutorials skip the hard parts. This episode walks through the full process of training a single-class object detector from scratch: how many images you actually need, why scene-based splitting matters more than random splits, how to annotate consistently, and why YOLOv8n is the right architecture for small datasets. Using the concrete example of detecting a specific anti-graffiti poster desig...

What does daily life actually look like in North Korea today — not the famine-era memoirs, but the country as it exists right now? This episode goes inside the gap between Pyongyang and everywhere else, exploring how the donju (money masters) live in high-rise apartments with smartphones and smuggled K-dramas, while most of the country still struggles with intermittent electricity and chronic food...

AI gateways promise more than just model routing—PII reduction, context augmentation, and system prompt injection at a single chokepoint. But every middleware layer adds latency, debugging complexity, and maintenance burden. We examine when these features justify the overhead and when simpler solutions like cloud credential managers or direct API calls make more sense. A practical look at the self...

Ever found a perfect model on Hugging Face only to wonder if your laptop can actually run it? This episode breaks down the two main pathways for running models from the Hub — local inference and cloud deployment. Learn how the compatibility tracker calculates TOPS and memory bandwidth, how Hugging Face's content-addressable cache stores weights, and the critical difference between the Inference En...

Pop-up light boxes fatigue after 50 folds, card systems charge $45 for coated cardboard, and mini backdrop stands can't hold their own fabric. But there's a fourth path most people overlook: a modular desk studio built from an articulating arm, a small LED panel, and a roll of seamless paper. For about $115 total, it outperforms all three consumer solutions with zero permanent footprint. Episode #...

Ever tried drilling into concrete with a regular hammer drill and watched the bit just skate across the surface? This episode explains why. We break down the mechanical difference between cam-action hammer drills and electro-pneumatic rotary hammers, and why the SDS-Plus bit system was invented in 1975 to solve a fundamental physics problem: friction can't hold a bit when you're pounding it thousa...

When a company knows it will lose a lawsuit, fighting to the end can actually be the rational choice. This episode explores "tokenistic litigation" — the practice of mounting a defense not to win, but to avoid the collateral damage of admitting fault. From insurance premium spikes to regulatory investigations to copycat lawsuits, the costs of settling can dwarf a trial loss. We examine the pervers...

Jerusalem’s lampposts are plastered with posters of the Lubavitcher Rebbe captioned “King Messiah” — a saturation campaign that’s sparked a secular citizen coalition fighting back. But what does Israeli law actually say? We break down the Municipalities Ordinance, the enforcement gap, and the legal and ethical dilemmas of citizen-led removal. From fines of 5,000 shekels per poster to the paradox o...

Small talk dread is real, but most advice for overcoming it is either too vague or actively counterproductive. This episode cuts through the self-help noise to examine what conversation research actually says works. We break down why "just be curious" fails the people who need it most, why "power moves" like deliberate mirroring backfire, and what specific tactics — like the add-a-sentence rule an...

We trace the DNA of clickbait from the 1835 Great Moon Hoax through mid-century ad copy to modern YouTube thumbnails. Why does the curiosity gap still work even when we know the game? And what happens when AI learns to optimize the same psychological levers? Episode #172387 — open it directly at myweirdprompts.com/172387

When a security incident turns a shared Jerusalem street into a fault line, the coexistence that seemed so real suddenly reveals its paper-thin nature. This episode goes beyond peace treaties and municipal budgets to ask a deeper question: is tolerance something you can actually teach, or is it baked into personality? Drawing on the Big Five personality model, Gordon Allport's Contact Hypothesis,...

Anyone who uses voice-to-text knows the frustration of watching a technical term get silently replaced with something that sounds similar but means something completely different. "LORAs" becomes "Lauras," and suddenly your transcription is nonsense. In this episode, we explore a practical solution: running audio through multiple transcription services, then using an LLM as a judge to reconcile th...

Should the best teachers also be practitioners? This episode explores the theory-practitioner split across law, medicine, dentistry, and architecture. We examine how dental schools flipped their curriculum, why clinical law professors burn out at higher rates, and whether tacit knowledge can ever be taught in a classroom. The answer isn't simple — and the dual role might be asking for two differen...

Why does the world call Israeli settlements illegal, while Israel insists they're not? This episode walks through the ICJ's 2024 advisory opinion, the Fourth Geneva Convention, and Israel's official legal defense — from the Green Line to the ring neighborhoods of East Jerusalem. We trace the settlement program from 1967 to today, covering the Allon Plan, Gush Emunim, and the legal machinery behind...

Why do tens of thousands of cases still go to trial every year, even as precedent piles up and outcomes grow more predictable? And what makes a tiny handful of those cases — like the decomposed snail that birthed modern negligence law — become household names? This episode explores the gap between how precedent works in theory and how it actually functions in practice: asymmetric incentives, strat...