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#5398: When "AI" Was Just Someone at a Desk
Amazon Go's ceiling didn't know what you took. A thousand people in India did. The long history of "AI" that was really human labor.
#5397: Chaining Small Models for Voice Cleanup
Six cleanup stages at 97% accuracy each compound to 83% end-to-end. So how many small models can you actually chain?
#5396: Teaching a Small Model to Stop Spelling Out Numbers
Your ASR pipeline is fine until someone dictates "three point two" and gets "three point two" spelled out. Here's how inverse text normalization ac...
#5395: Six Colors, One Hospital Corridor
A pediatric ward's six-color corridor system reveals what good interface design looks like when people are scared and lost.
#5394: Why Waze Sends You Into a Jerusalem Alley
A listener's complaint about Waze turns into a tour of how routing apps actually work — graphs, shortcuts, and a map that's always slightly wrong.
#5393: Fine-Tuning a Model on 100 Hand-Edited Answers
You don't need 10,000 examples to make a model sound like you. The real number is closer to 100 — if the edits are opinionated.
#5392: Building Agents You Can Actually Move
Agent portability isn't a copy job — it's a rebuild. Why memory, not code, is where lock-in lives.
#5391: The Software Behind Urgent Care Triage
Big buttons, emoji vitals, and a system that says "order IV" — what's actually running behind the triage screen?
#5390: Chaining Small Models for Dictation Cleanup
Daniel's Android dictation fork won't render "three point five" as a decimal. How many models does cleanup actually need?
#5389: Hugging Face vs Kaggle: Where Models Actually Live
Hugging Face and Kaggle aren't rivals — one is infrastructure, one is a practice field. Here's how the two platforms actually differ.