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#5435: When Your TTS Model Eats the Numbers
Numbers, dates, and acronyms break text-to-speech in specific, documented ways. Here's where normalization lives — and why it depends on your model.
#5434: When Local AI Tools Phone Home
Local AI tools shouldn't need the network. So why is your on-device writing assistant uploading 40MB at 3am?
#5433: Thermostats, Thermal Mass, and the Buildings That Fight Back
A thermostat is a sensor, a set point, and a switch — until thermal mass, bad models, and sustainability mandates get involved.
#5432: What Hospice Workers See at the Deathbed
A UK survey found 97% of palliative care staff witnessed deathbed phenomena. What they see — and why 92% never makes it into the chart.
#5431: The Other Half of Hugging Face: Why BERT Still Out-Downloads Llama
Encoder models pull over a billion downloads a month. Decoder models pull 397 million. The AI conversation and the download counter are describing ...
#5430: Two Boxes: ASR and the Text Fixer Behind It
Punctuation, casing, ITN, disfluency — the four-job layer between raw ASR output and text you can actually read.
#5429: Bathtime Safety: What the Data Actually Says
Two-thirds of child drownings inside the home happen in the bathtub. Here's what the research says about temperature, supervision, and the towel.
#5428: Wills, Superstition, and the One Event With 100% Probability
Daniel is a prepper who's terrified of writing a will. Turns out the law, the psychology, and the Israeli defaults all agree he shouldn't be.
#5427: Why Atheists Still Knock on Wood
Religion and superstition aren't the same thing — and the data says they might even pull in opposite directions.
#5426: AI Wrote His Yom Kippur Prayer
A man skipped synagogue, opened ChatGPT instead, and got a prayer that knew his life. Is AI-generated prayer real prayer?