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Join date: Sep 23, 2020

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Oct 3, 2026 ∙ 8 min
Demystifying Backpropagation: The 300-Year-Old Calculus Rule Powering Modern AI
Modern artificial intelligence systems rely on an underlying algorithm to learn: Backpropagation. Whether predicting text, recognizing images, or translating languages, neural networks depend on this universal mechanism. The core mathematical mechanism behind backpropagation is not a recent invention. The algorithm relies on a calculus rule formulated by Gottfried Wilhelm Leibniz in 1676: the chain rule. To understand how modern AI works, we examine how this centuries-old mathematical tool...

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Sep 30, 2026 ∙ 8 min
Bridging the AI Divide: Moving Higher Education from Hesitation to Integration
"If men learn this, it will implant forgetfulness in their souls; they will cease to exercise memory because they will rely on that which is written, calling things to remembrance no longer from within themselves, but by means of external marks." — Socrates (in Plato's Phaedrus) Educators have long questioned how new tools alter human cognition. Socrates was not warning against algorithms, but the newest technology of his era: the written word. New classroom technologies seldom inspire a...

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Sep 21, 2026 ∙ 7 min
Making the Invisible Hand Visible: How Choice Architecture Operationalizes Economics
The Invisible Hand is an observation of our human nature. Adam Smith studied how people naturally operate within social settings. He then applied those behavioral insights to explain how societies generate lasting wealth. Long-term empirical trends support his core insights. Over the past two centuries, global economic data reveals unprecedented rises in real gross domestic product per capita alongside dramatic increases in global life expectancy. In 1776, Adam Smith published The Wealth of...

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Jeff Hulett

Jeff Hulett

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