How One Line of Python Triggers 12,000 Lines of Code скачать в хорошем качестве

How One Line of Python Triggers 12,000 Lines of Code

I typed "write hello world in Python" into an AI. It gave me one line of code. That one-line triggers 12,000+ lines of code across seven layers of abstraction, all the way down to electrons that are fundamentally probabilistic. The entire "deterministic" computing stack? Built on quantum uncertainty. We just engineered our way around it. People say AI is unreliable because it's "just probabilistic." But here's what they're missing: cosmic rays flip bits in your RAM right now. The Pentium FDIV bug cost Intel $475 million because five values were missing from a lookup table. In 1947, a moth stuck in a relay gave us the term "debugging." Every layer of computing started unreliable. Every layer became reliable through architecture. From the Jacquard loom's punched cards in 1804 to the LLMs of today, it's the same pattern repeating. ⏱️ TIMESTAMPS 0:00 - The one line that triggers everything 0:45 - Layer 1: Python 1:30 - Layer 2: Abstract Syntax Tree 2:45 - Layer 3: Bytecode 4:00 - Layer 4: The C Interpreter 5:15 - Layer 5: Assembly 6:00 - Layer 6: Machine Code 6:45 - Layer 7: Hardware 7:30 - Before electrons: The Jacquard Loom (1804) 9:00 - Errors all the way down 10:15 - The electron problem 11:30 - Why AI is just the next layer 12:45 - Close 🔗 LINKS Website: https://eduba.io Ethics Engine paper: https://arxiv.org/abs/2510.11742 📚 SOURCES & FURTHER READING • Pentium FDIV Bug: https://www.righto.com/2024/12/this-d... • Belgian election bit flip: https://www.johndcook.com/blog/2019/0... • Jacquard Loom history: https://www.scienceandindustrymuseum.... • Grace Hopper's moth: https://americanhistory.si.edu/collec... #python #programming #ai #llm #computerscience #coding #softwaredevelopment #machinelearning #howcomputerswork #techexplained — Topics: Python internals, abstraction layers, computing history, Jacquard loom, Ada Lovelace, Grace Hopper, Pentium FDIV bug, cosmic ray bit flips, quantum mechanics, transistors, LLMs, deterministic vs probabilistic systems