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In 1953, a TV writer couldn't think of an adjective. His friend suggested "clumsy" and "naked" without knowing the context. They had accidentally invented Mad Libs. What I want to show you is that they had also accidentally discovered the oldest pattern in computing. Templates with typed blanks, filled according to rules, composed into larger templates. It's how Python becomes machine code. It's how compilers work. And it's how AI systems assemble the prompts you never see. This video traces that pattern from a 1953 word game through traditional memory hierarchies, into the architecture of modern AI, and lands on a question: if Grace Hopper's compiler was rejected because "computers can only do arithmetic," what are we missing about AI right now? This builds on my previous video about tracing Python to electrons. If you haven't seen that one, it's not required, but they rhyme. *PREVIOUS VIDEO:* How One Line of Python Triggers 12,000 Lines of Code • How One Line of Python Triggers 12,000 Lin... *TIMESTAMPS:* 0:00 - A word game invented by accident 0:50 - The template pattern 3:30 - Memory in traditional computing 6:30 - Memory in AI systems 10:00 - The Grace Hopper pivot 12:30 - What prompting actually is 14:30 - The next layer of the stack *TOPICS COVERED:* Mad Libs history, Abstract Syntax Trees, memory hierarchy, registers, cache, RAM, context windows, system prompts, prompt injection, Grace Hopper, compiler history, AI reliability, prompt engineering, context engineering, abstraction layers *SOURCES:* Grace Hopper quotes from 1987 Ohio State University lecture Mad Libs origin story from Leonard Stern (madlibs.com/history) Memory hierarchy: standard computer architecture *CONNECT:* Website: https://eduba.io LinkedIn: / jake-van-clief-74b66915a #ai #programming #computerscience #machinelearning #promptengineering #coding #tech #softwaredevelopment #llm #artificialintelligence #python #learntocode #computerhistory #gracehopper