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...

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Forfatter

Daniel Rosehill

Kategori

Technology

Podkastens nettsted

myweirdprompts.com

Siste episode

2. okt 2026

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Episoder

The Other Half of Hugging Face: Why BERT Still Out-Downloads Llama 21.09.2026

Everyone names Llama, Gemma, Mistral, and DeepSeek — but BERT is the second-most-downloaded model on Hugging Face, and encoder-only models collectively out-download decoder-only models nearly three to one. This episode digs into the taxonomy problem hiding in plain sight: two different animals sharing one foundational task, text in and text out. We trace the arc from BERT's pre-train-then-fine-tun...

Two Boxes: ASR and the Text Fixer Behind It 21.09.2026

Raw ASR output is a wall of uncased, unpunctuated words. The accessory models that clean it up are the back half of the pipeline nobody talks about. This episode traces how single-purpose models like FullStop and NVIDIA's NeMo punctuation-and-capitalization tools evolved into unified multi-task fixers — and whether the whole thing is collapsing into just two components: the ASR engine and one text...

Bathtime Safety: What the Data Actually Says 21.09.2026

Bathtime looks simple until you read the research. Two-thirds of child drownings inside the home happen in the bathtub, and the most common cause of a supervision lapse is walking away to grab a towel. This episode works through the actual numbers: why 37–38°C is the safe range, why the 1978 Feldman study in Pediatrics changed tap water regulation, and why a 2023 University of Chicago Burns study...

Wills, Superstition, and the One Event With 100% Probability 21.09.2026

Daniel wrote in with a confession: he's a prepper who plans for everything except the one event with a hundred percent probability. He's deeply superstitious about death, studied law in Ireland, and lives in Israel with a wife and one kid — and he's seen how wills become weapons in dysfunctional families. So how does someone who's scared to even think about this get started? And how do healthy fam...

Why Atheists Still Knock on Wood 21.09.2026

Daniel wrote in with a puzzle: he's Jewish, he believes in God, he's not especially observant — and he still can't bring himself to say the word "death" out loud. He knows Judaism doesn't forbid it. He knows it's just a bad-omen reflex. So why does it bite so hard, and why do so many atheists nod along? This episode digs into what superstition actually is, how it differs from religion, and what th...

AI Wrote His Yom Kippur Prayer 21.09.2026

When Daniel couldn't find his good clothes or his iron on Yom Kippur, he stayed home for the first time in his life — then opened ChatGPT and asked for a prayer in the Orthodox tradition. What came back was brief, clear, and woven with details from his own year. This episode traces the real, funded world of AI prayer apps like Kavanah and Hallow, the AI church services staged in Fürth, Helsinki, a...

Preview Branches Without the Branch Dance 21.09.2026

A solo developer wrote in with a confession: he knows preview deployments are best practice, he's set them up for clients, and he has never once set one up for himself — because he doesn't trust himself to remember the branch-switching dance. What follows is a careful walk through what actually happens when you push to a branch on Vercel, why three of the four steps he fears simply don't exist, an...

ThinkPad E15: Swollen Battery or Bad Keyboard? 21.09.2026

Daniel bought a ThinkPad E15 because he trusted the name. Two years later the arrow keys are dying, the trackpad needs to be slammed to click, and a key popped out of the shell with no liquid anywhere near it. He's asking whether counterfeit or salvaged ThinkPads are real, whether a serial number check actually proves anything, and whether a keyboard swap is a realistic first-timer job. The answer...

Underground Burial in Jerusalem: 24,000 Graves, 3 Elevators 21.09.2026

Jerusalem's Har HaMenuchot cemetery looks like municipal infrastructure from Highway 1 — until you learn the parking spaces are 24,000 graves, reached by three elevators. This episode digs into why the city had to build downward, what happened when the Mount of Olives was cut off in 1948, and why a 16th-century lease from the Islamic Waqf still governs the holiest Jewish cemetery on earth. Then it...

Switching Android Keyboards Without the Tap Dance 21.09.2026

Daniel rebuilt his Android dictation setup around a Parakeet backend and found it beats FUTO's Whisper implementation cold — but bouncing between his voice IME and his typing keyboard mid-email is a context-switch tax levied at the worst possible moment. He wants a button that jumps straight to either keyboard, and he's hunting for the intent that does it. The catch: Android's documentation is exp...

Why Secular Israelis Still Fast on Yom Kippur 21.09.2026

Yom Kippur empties Israel's highways and fills its synagogues, even among people who describe themselves as secular. Why does a country that mostly doesn't keep the rules keep this one? This episode digs into the research on religious transmission across four generations — what predicts whether faith gets passed down, why the parent-child relationship matters more than the parents' own practice, a...

How Keyboard Middleware Actually Works 21.09.2026

When you tap the microphone button on your phone's keyboard, what actually happens? Not the marketing answer — the plumbing. This episode traces the input method stack across Android, Linux, and Windows: the composition buffer that holds your uncommitted text, why bundled voice transcription differs from a dedicated voice input method, and why text expanders never show up in the input method list....

The Attention Budget in Your Pocket 21.09.2026

Daniel wrote in with a sharp question: if punctuation restoration depends on surrounding context, why does dictating on a non-flagship phone feel like managing an invisible budget? This episode unpacks the attention tradeoff behind speech recognition — why streaming models punctuate badly, why full-batch transcription is too expensive on a phone, and how chunked inference with a bounded attention...

Why Dehydration, Not Hunger, Is the Real Risk of a 25-Hour Fast 21.09.2026

A healthy adult can go weeks without food, but only hours without water — and in a hot climate, that gap narrows fast. This episode walks through the clinical stages of dehydration, from the mild thirst band everyone mistakes for a normal fast-day feeling, to the standing dizziness that marks the turn, to the confusion and fainting that mean it's a medical emergency. It also covers the research fi...

Can You Version-Control Your Android Apps? 21.09.2026

Android Developer Verification enforcement began this month in Brazil, Singapore, Indonesia, and Thailand, and F-Droid says it can't comply. Meanwhile, a listener asks whether you can version-control your installed app list — declare your apps as code, sources included, and rebuild from a manifest. We walk through Google's nine-step "Allow Unverified Packages" flow and why it runs through Play Ser...

Xet, Buckets, and Auto-Pulling Model Weights 21.09.2026

Hugging Face quietly migrated 500,000 repositories and 20 petabytes to Xet, a chunk-level dedup engine that replaced file-level Git LFS. This episode unpacks how that migration stayed invisible, why content-defined chunking matters for quantization-heavy model repos, and what Storage Buckets actually are versus repositories. Then it tackles the real question: can a bucket be configured to automati...

Inside F-Droid: Repos, Front Ends, and Sideloading Safely 21.09.2026

F-Droid has been the oldest surviving alternative to the Play Store since 2010 — and its small catalog is a feature, not a bug. This episode unpacks the architecture that makes it work: a signed XML index, a client that pulls instead of a server that pushes, and a build process that compiles apps from public source on F-Droid's own infrastructure. That design is why five different front ends — the...

Inventing Anna: The Real Tradecraft Behind the Con 21.09.2026

Anna Delvey defrauded banks, hotels, and New York's elite without hacking a single thing. Her entire toolkit was Microsoft Word, fake AOL accounts, and a burner phone from a supermarket. This episode breaks down the real social engineering behind the "Inventing Anna" story: the $100 handshake that turned hotel staff into a human firewall, the borrowed credibility of a real Gibson Dunn lawyer, the...

Who Actually Picks Your In-Flight Movie? 21.09.2026

Eight in ten passengers use the seatback screen, and the Big Four US carriers alone carry over 525,000 of them. Yet the teams choosing what plays on those screens are astonishingly small — Southwest's entire department is one person. This episode digs into the hidden machinery of in-flight entertainment: the content service providers like Spafax and Anuvu, the non-theatrical licensing deals where...

Editing vs. Note-Taking for AI Fine-Tunes 21.09.2026

Daniel wants a daily AI assistant that writes like him, and he's weighing two ways to get the training data: hand-editing the model's responses, or leaving written notes about what to change. This episode unpacks the research behind both — user-edit fine-tuning (Gao et al., NeurIPS 2024) and critique-and-revise (Jin et al., Amazon) — and asks which actually produces better stylistic results. The e...

Fine-Tuning at 4-Bit vs 16-Bit: What It Really Costs 21.09.2026

What actually happens when you fine-tune a quantized model instead of the original weights? This episode walks through the mechanics of QLoRA versus full-parameter fine-tuning, the VRAM multipliers that decide whether a model fits on one consumer GPU or a rack of H100s, and the real cost tables for 8B and 70B models in 2026. We cover where quantization errors come from, how much of the quality los...

Adapters: 102KB That Reshapes a 403GB Model 21.09.2026

A 403GB base model, a 102KB adapter file, and a deliberate choice never to merge them. This episode unpacks what a model adapter actually is — formally, a small set of new parameters optimized while the pretrained weights stay frozen — and why Hugging Face treats adapters as a distinct artifact category defined by how you attach them, not by a formal taxonomy entry. Using Tayi Flash Q4 as a worked...

What Makes a Model "Agentic"? Atria Dawn Preview 21.09.2026

A 744-billion-parameter model appeared on Hugging Face with no announcement, no paper, no API, and no independent evaluation — but a grand title ("The Dawn of Agentic Superintelligence") and sixteen vendor-reported benchmarks. What does it actually mean for a model itself to be agentic, rather than just a capable instruct model dropped into an agent framework with tools and a loop? This episode di...

When Small NLP Models Beat the LLM 21.09.2026

Every language problem gets routed to a frontier text-generation model these days — and sometimes that's exactly the wrong engineering choice. This episode tours the classic NLP task families that Hugging Face still files separately from generation: feature extraction, fill-mask, question answering, sentence similarity, summarization, table question answering, text classification, text ranking, to...

Hemmingway-1 and the War on Waffle 21.09.2026

Hemmingway-1, a 27B model from Altworld built on Qwen3.8-27B, claims to skip the preamble and answer your whole message instead of a piece of it. But the benchmark behind that claim, CommunicationBench, is the lab's own — and the model card says so up front. This episode digs into how directness gets measured, why the Human-Likeness metric is the softest of the three, and what RLHF, verbosity comp...

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