History of AI. What we actually build when we created AI?

Artificial intelligence feels like a modern Silicon Valley miracle, but its true roots stretch back centuries into a deep human obsession. In this deep-dive historical commentary, we uncover the hidden evolution of AI, from 18th-century mechanical hoaxes to the creation of ChatGPT. We break down what we actually built when we created AI, the technical mechanics of the Transformer architecture, and why the "Black Box" problem is terrifying the very engineers who designed it. Music Credits- Music: Geography by Aylex   / alexproductionsmusic   License: https://freetouse.com/license Free Download / Stream: https://links.al/Lj3 Music promoted by Audio Library: https://links.al/youtube Music: Escape Velocity by Scott Buckley https://www.scottbuckley.com.au/ License: Creative Commons — Attribution 4.0 International — CC BY 4.0 Free Download / Stream: https://links.al/efn Music promoted by Audio Library: https://links.al/youtube Music: Within Our Nature by Scott Buckley https://www.scottbuckley.com.au/ License: Creative Commons — Attribution 4.0 International — CC BY 4.0 Free Download / Stream: https://links.al/H9m Music promoted by Audio Library: https://links.al/youtube Music: Vanguard by Scott Buckley https://www.scottbuckley.com.au/ License: Creative Commons — Attribution 4.0 International — CC BY 4.0 Free Download / Stream: https://links.al/JMJ Music promoted by Audio Library: https://links.al/youtube Long before the invention of the microchip, human civilization was already striving to build an autonomous machine capable of human reason. In this video essay, we trace this historical timeline back to the ancient myths of Talos and the mechanical marvel of the 18th-century "Mechanical Turk"—an elaborate chess-playing automaton that fooled world leaders and proved how desperately humanity wanted to believe a machine could think. We explore the massive turning point of 1843, when mathematician Ada Lovelace analyzed Charles Babbage’s Analytical Engine to write the world's very first computer program, defining the mathematical boundaries of computing logic. If we jump into the mid-20th century, we examine the true flashpoint of modern computer science: Alan Turing’s 1950 paper introducing the Turing Test, and the fateful 1956 Dartmouth Workshop where the term "Artificial Intelligence" was officially coined. We chart the cyclical nature of tech progress, looking at the brutal funding cuts of the First and Second AI Winters, the brute-force computational triumph of IBM’s Deep Blue over Garry Kasparov in 1997, and the 2012 ImageNet neural network revolution that shifted us from rigid code to machine learning. Finally, we pull back the curtain on modern generative systems. We explain the "Predictive Text" illusion of Large Language Models (LLMs), the breakthrough of Google’s 2017 Transformer architecture, and how high-dimensional vectors mathematically map human language. We finish with a critical look at the "Black Box" problem—the reality that engineers cannot fully track how a trillion-parameter model makes its final creative leaps—and ask the ultimate question: Have we built an independent mind, or the most perfect mirror in human history? 📌 Subscribe to the channel for deep-dive intellectual commentary on tech philosophy, business, and geopolitics. history of ai, evolution of artificial intelligence, how ai works explained, what is artificial intelligence, turing test explained, dartmouth workshop 1956, how chatgpt works math, the black box problem ai, history of machine learning deep dive, ada lovelace first computer program, deep blue vs garry kasparov 1997, what are vector embeddings simple, transformer architecture attention is all you need, is ai a mind or a mirror, mechanistic interpretability anthropic, think school tech case study, intellectual commentary videos, documentary on artificial intelligence, philosophy of technology essay, educational infotainment india, computational science history