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

Heat, Fans, and the Limits of Air-Gapped Security 22.09.2026

A viral clip claims two air-gapped machines can talk through CPU heat, and technically that's true — BitWhisper demonstrated it in 2015. But at one to eight bits per hour and a range of forty centimeters, the demo barely moves a toy missile launcher. So why does the air-gap exfiltration literature keep growing? We walk through Dr. Mordechai Guri's Offensive Cyber Research Lab at Ben-Gurion Univers...

The Neurotic Jew: Where the Stereotype Came From 22.09.2026

The stereotype of the anxious, overanalytical Jewish personality is persistent enough that it feels like common knowledge. But where did it actually come from? Not from outside hostility, as it turns out — the neurotic Jew as a clinical category was built largely by Jewish psychoanalysts, starting with Freud and his circle in Vienna. This episode traces that origin story, then asks the harder ques...

Toddler Mom-Clings After Daycare: What's Normal? 22.09.2026

A fifteen-month-old has become intensely, specifically mom-focused — and it started right after a daycare transition and a long grandparents stay. Is this normal, does it pass, and can the other parent actually do anything about it? This episode walks through the attachment science behind why less mom-time can produce more clinging, not less, and why the pattern becomes self-reinforcing once dad's...

The Models That Never Talk Back 22.09.2026

Not every model is trying to talk to you. This episode looks at discriminative models — the quiet, non-generative side of the Hugging Face ecosystem that reads text and returns labels, probabilities, and decisions. Starting from Daniel's point that "non-text-generating" is a misnomer, we dig into two very different model cards: Nox, a 4.2B decision model from the Semantic Router project that retur...

The Potter's Field: Who Buries the Unclaimed Dead? 22.09.2026

A respectable burial was once something you aspired to — not something you assumed. This episode traces how that changed. The stigma of the pauper's funeral turns out to be a modern invention, dating to the shift from inherited status to acquired wealth. We follow the history from Natufian stone graves to Roman puticuli to the Paris Catacombs, then turn to the present: potter's fields like Hart Is...

Israel's Periphery: Why It's Not About Distance 22.09.2026

Everyone in Israel knows the word "peripheria" — the periphery. But it isn't a geographic term. It means "not the center," and the proof is that Jerusalem itself once carried development-town status. This episode traces how a three-year-old state built that category in the 1950s, housed over 200,000 new immigrants in transit camps, and hardened an ethnic correlation that never dissolved. Then it f...

Carmei Gat: The Buchman of the Negev? 22.09.2026

Carmei Gat is a planned neighborhood on the northern edge of Kiryat Gat, in Israel's Southern District, and it's become an unlikely magnet for English-speaking immigrants. This episode digs into what it actually is, where it came from, and why buyers are choosing a Negev development town over the traditional Anglo strongholds of Beit Shemesh and Jerusalem. From Israel's first umbrella agreement —...

Heads vs Layers: How Model Merging Actually Works 22.09.2026

When someone asks how open source enthusiasts combine two AI models into a hybrid, the intuitive answer — snap the attention heads together — turns out to be wrong in an interesting way. Heads are a granularity of control; layers are the unit of assembly. This episode unpacks what a transformer head actually is, from the query-key-value subspaces inside multi-head attention to the strange finding...

When Do LLMs Suddenly Get Good at Things? 22.09.2026

In 2022, researchers defined an ability as "emergent" if smaller models lack it and larger models have it — meaning you couldn't have predicted it from the smaller models you already had. Since then, a fierce debate has unfolded over whether these jumps are a real property of the models or an artifact of the metrics we choose. This episode works through the strongest arguments on both sides, from...

Dollar Plumbing: Why Bessent's Iran Threat Has Teeth 22.09.2026

Treasury Secretary Scott Bessent threatened to cut off any foreign company that fuels, lands, or sells tickets for Iranian airlines — "you will be cut off from the dollar system." This episode unpacks what that actually means: how CHIPS and Fedwire make the dollar a system rather than just a currency, why currency-based jurisdiction lets OFAC reach transactions with no American party, and why Iran...

What Does a Space Force Actually Do All Day? 22.09.2026

The U.S. Space Force became its own branch in 2019, but the military had been flying satellites since the late 1950s — so what actually changed? This episode digs into the physical inventory Daniel asked about: missile-warning satellites, military SATCOM, GPS, space-domain awareness, and the planetary-scale ground infrastructure that most people never see. It also goes international, comparing the...

Life at 76 Degrees North: Inside Pituffik Space Base 22.09.2026

Pituffik Space Base sits 1,500 kilometers from the North Pole on Greenland's northwest coast — the northernmost installation in the entire U.S. Department of Defense. It's also reportedly the most expensive overseas base the United States operates, at over $100 million a year, roughly ten times the cost of an average Air Force base. So what does it actually take to keep several hundred people, a 1...

Why Linguists Left the AI Room 21.09.2026

Large language models are, at their core, language technologies. So why did the people who study language for a living become peripheral to building them? This episode traces the hidden linguistic DNA inside the transformer architecture — from Jakob Uszkoreit's parse-tree insight to the raising-versus-control distinction that models seem to have internalized without being taught — and asks what go...

Hunting the Tells That Vanish When Named 21.09.2026

Daniel noticed "failure mode" showing up everywhere in our own scripts, and wondered what other verbal tics are hiding in a corpus of thousands of episodes. There's no off-the-shelf LLM tick detector — but there is a whole discipline built for exactly this. This episode walks through corpus linguistics tooling: quanteda's keyness function, corpkit's subcorpus slicing, pycorpdiff's changepoint dete...

Small Models as Rewriters, Not Writers 21.09.2026

Daniel noticed certain idioms keep surfacing in the show's dialogue, and system-prompting the problem away made it worse — the model started using the banned phrases more. This episode works through the mechanics of why prohibition prompts fail, why multi-agent correction passes leak feedback into the final text, and why regex produces ungrammatical holes. The fix is a small text-in-text-out langu...

When Your TTS Model Eats the Numbers 21.09.2026

Text normalization is the invisible layer that turns written text into something a TTS model can actually speak: "1,234" becomes "one thousand two hundred thirty-four," "Dr." becomes "Doctor," and "2026" stops being a string of digits. It's also the layer this podcast doesn't have, which is why acronyms and numbers have been hand-patched for months. This episode walks through the vocabulary — text...

When Local AI Tools Phone Home 21.09.2026

If a tool runs inference on your device, it has no legitimate reason to touch the network. That makes outbound traffic from a "local" AI tool one of the few clean security signals left — and it's exactly the signal attackers work hardest to avoid. This episode traces keystroke capture from the permission prompt down to the SQLite file on disk, then follows the data through the exfiltration chain:...

Thermostats, Thermal Mass, and the Buildings That Fight Back 21.09.2026

A thermostat looks like the simplest device ever built: sensor, set point, switch. But the bleeping battle between an IR blaster and an air conditioner is really a lesson in control theory — bang-bang controllers, deadbands, integral windup, and models that forecast accurately yet get the sign of a cooling action wrong. From there the conversation widens to buildings themselves: thermal mass as a...

What Hospice Workers See at the Deathbed 21.09.2026

A UK-wide survey of 104 Marie Curie palliative care staff found that 97% had witnessed at least one deathbed phenomenon in five years — an average of 7.7 each. Visions of deceased relatives, terminal lucidity in dementia patients, clocks stopping at the moment of death. And yet a chart audit found only 8.3% of these events ever get documented. This episode works through the research literature on...

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...

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