Understanding Artificial Intelligence Through the Metaphor of a City
Artificial Intelligence is everywhere.
Every day brings new headlines about chatbots, self-driving cars, humanoid robots, scientific discoveries, and ever more powerful AI systems. One article warns that AI will transform work. Another predicts breakthroughs in medicine. A third promises fully autonomous vehicles just around the corner.
To many people, AI feels both exciting and confusing.
The problem is not a lack of information. The problem is too much information.
Most of us encounter AI the way a tourist first encounters a city. We see the tallest buildings, the busiest streets, and the most famous landmarks. We admire the skyline without knowing how the city came to be.
This series is an invitation to look deeper.
Not merely at the buildings, but at the foundations beneath them.
Not merely at today's skyline, but at the history that shaped it.
Not merely at what AI is today, but how it became what it is.
Welcome to the AI City.
Why I Write This Series
Several years ago, while visiting my aunt in Seattle, I joined one of the city's famous underground tours.
Like most visitors, I had spent my time exploring the visible city. I walked through modern streets, admired the waterfront, and looked up at the buildings that define Seattle's skyline.
Then the guide led us underground.
Beneath the sidewalks and storefronts lay the remains of an older Seattle, preserved beneath the modern city. Suddenly, the city above looked different. The streets, buildings, and neighborhoods made more sense because I could now see what had come before them.
That experience stayed with me.
Over the years, I realized that I approach many subjects in the same way.
Whether I am studying history, investing, computer science, artificial intelligence, or even my own journey from Vietnam to Norway, I find myself asking the same question:
What lies beneath?
Artificial Intelligence today reminds me very much of modern Seattle.
Most people see the visible structures: ChatGPT, self-driving cars, robots, AlphaFold, and image generators. These are the skyscrapers of the AI age. They are impressive, useful, and worthy of attention.
But beneath them lies another city.
A city built over decades by mathematicians, statisticians, computer scientists, engineers, and researchers.
A city of ideas.
A city of algorithms.
A city of neural networks.
To understand today's AI, we must occasionally descend beneath the streets.
That is the purpose of this series.
It is not a collection of news articles.
It is a guided tour.
Together we will explore the foundations, the districts, the buildings, the blueprints, and perhaps even the future skyline of Artificial Intelligence.
My blog has long been guided by a simple principle:
To understand the present, learn from the past.
This series is an attempt to apply that principle to one of the most important technologies of our time.
A Map of the AI City
Before beginning our journey, it helps to have a map.
Imagine Artificial Intelligence as a growing city.
Some districts are devoted to language.
Some to biology.
Some to robotics.
Some to games and strategic thinking.
Although the buildings look different, they share the same foundation beneath them.
This map will guide us throughout the series.
The Tour Itinerary
Part 1: The Basement Beneath the Machine
Before exploring the city, we must examine its foundation.
This article explains how mathematics, statistics, machine learning, and neural networks became the basement upon which modern AI was built.
Question explored:
What is AI built upon?
Status: Published
Link:
[Insert Link]
Part 2: A Tour of the AI City
An overview of the major districts of modern AI.
Question explored:
What kinds of AI exist today?
Status: Coming Soon
Part 3: The Language House
The home of ChatGPT, Claude, Gemini, and large language models.
Question explored:
Why did language become the first great success of modern AI?
Status: Coming Soon
Part 4: The Biology House
The district where AlphaFold and scientific AI systems help researchers understand life itself.
Question explored:
How is AI transforming biology and medicine?
Status: Coming Soon
Part 5: The Physical House
The world of self-driving cars, robots, drones, and future air taxis.
Question explored:
Why is building a robot harder than building a chatbot?
Status: Coming Soon
Part 6: The Game House
From Deep Blue to AlphaGo.
Question explored:
What is the difference between calculation and learning?
Status: Coming Soon
Part 7: The Blueprint Room
The architectures behind modern AI.
Question explored:
What is the difference between a foundation and an architecture?
Status: Coming Soon
Part 8: The Future Skyline
A look at the next generation of AI systems.
Question explored:
What houses have not yet been built?
Status: Coming Soon
The Journey Begins
Most visitors judge a city by its skyline.
The curious traveler eventually wonders what lies behind the buildings, beneath the streets, and before the present.
That is the journey we are about to begin.
The first stop is not a skyscraper.
It is the basement.
Because before we can understand the houses of AI, we must understand the foundation upon which they stand.
Welcome to the AI City.
Let us begin our descent beneath the streets.
“In balance lies wisdom, and in stillness — clarity.”
Written by David H. Huynh
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