DARPA funds the research. AI research.They fund it inside military labs and university research centers.ย And then at the right moment, they hand it to the private sector. They put a friendly name on it. They build a nice logo. They run some commercials. And they make it feel like it came from a garage in Palo Alto or a dorm room at Harvard.
The AI your child used at school today was designed in a Pentagon office. No one else tells you that because the real history of artificial intelligence is not what you were taught and not what powerful people want you to know. So this is the military AI history that they never put in school textbooks.
And it all started on a college campus in 1956. At the center of it is this young math professor named John McCarthy. And look, this guyโs probably brilliant. He was also deeply, genuinely frustrated. Because for years he had been trying to get people to take seriously the idea that a machine could one day imitate the human mind. And in 1956, when computers were still the size of a room and could barely play tic-tac-toe, most of his colleagues thought he was out of his mind.
Thatโs where the story begins. But hereโs where it gets interesting. Because a few years later, a completely different kind of person showed up. A guy who isnโt a technical person, nor a military person. Heโs a psychologist named Lick. And he walked into a Pentagon office with nearly $10 million and basically a permission slip to build something the world has never seen before. Itโs not for you or your family. Itโs for the military.
This is the history story you wish you had in school, and weโre gonna connect the dots together from then all the way up to the phone in your pocket today.
So I wanna take you on a journey today. And by the time weโre done, youโre gonna look at every piece of technology in your home differently. Your phone. Your smart TV. The AI tool your kids are using at school right now. All of it.
Because hereโs the thing I want you to understand before we dive in. Thereโs a pattern to how power works in this country. And once you see the pattern, you see it everywhere.
The government identifies what they consider a threat.
They then pour money into a technology to fight it.
That technology gets proven inside a military or university lab.
And then at exactly the right moment, they hand it to the private sector.
They put a friendly name on it. They run some ads. And they make it feel like it came from a garage startup in Palo Alto.
But hereโs what they never tell you. When the threat fades, the technology doesnโt go away. It just gets pointed somewhere else.
It happened with the internet. It happened with GPS. And it happened with artificial intelligence. So today weโre gonna trace that pattern all the way from a college campus in 1956 to a $500 billion project that was announced on day two of Donald Trumpโs second term.
Letโs start at the beginning.
๐๐ก๐ ๐๐ญ๐๐ซ๐ญ ๐จ๐ ๐๐ซ๐ญ๐ข๐๐ข๐๐ข๐๐ฅ ๐๐ง๐ญ๐๐ฅ๐ฅ๐ข๐ ๐๐ง๐๐ (๐๐๐๐)
Picture this. Itโs the summer of 1956. Hanover, New Hampshire. A beautiful college campus. Green lawns, old brick buildings. And arriving on this campus is a small group of men who genuinely believe, like really truly believe, that a machine can be made to think.
And itโs not even that many people. Maybe ten. Actually more like eight or nine showing up at any given time. So this isnโt some grand conference with hundreds of attendees and name badges and a keynote speech. Itโs more like a summer camp for the smartest people in the room. And the room happened to be Dartmouth College.
Now McCarthy knows he has a problem. Nobody outside this room takes the idea seriously. The academic world isnโt interested. The public doesnโt know it exists. So he does something really clever. Something that looking back was possibly one of the most consequential branding decisions in American history. He picks a new name for the field heโs trying to build. He doesnโt choose names that already exist like โcybernetics or โautomata theoryโ. Theyโve both got baggage. He picks something new: โartificial intelligence.โ It sounds neutral. Clean. Unthreatening. He wants this idea to travel. He wants it to survive long enough to become real. So he gives it a name that wonโt scare anyone away.
Smart, right?
Now hereโs the part they leave out of every textbook. When McCarthy goes looking for the money to fund this gathering, he goes to the Rockefeller Foundation. And the Rockefeller Foundation greenlit it with a grant of $7,500. Thatโs it. Seven thousand, five hundred dollars. That was the seed money for the field that is now worth trillions. But hereโs whatโs even more important than that. In the years that followed Dartmouth, it was the Office of Naval Research and the U.S. Defense Department that became the primary funders of artificial intelligence research in America.
The National Academies of Sciences put it in writing: from the 1960s through the 1990s, the Pentagonโs own research arm, DARPA, the Defense Advanced Research Projects Agency, provided the bulk of the nationโs support for AI research. They spent over a billion dollars on a single AI program between 1983 and 1993 alone.
The receipts exist publicly. We have them. So the military was bankrolling this field from day one.
Hold that thought. Because thatโs the first thread in a very long string.
๐๐ข๐ฅ๐ข๐ญ๐๐ซ๐ฒ ๐๐ ๐๐ข๐ฌ๐ญ๐จ๐ซ๐ฒ: ๐๐ก๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐ก๐๐ญ ๐๐๐ญ๐๐ก๐๐ ๐ญ๐ก๐ ๐๐ค๐ฒ
Okay, now letโs back up a few years. Before Dartmouth, before anyoneโs even using the new label of โartificial intelligence.โ The government was already building something. And itโs big.
In 1949, the Soviet Union detonated its first atomic bomb.
For four years, since the end of World War II, the United States had been the only country on earth with a nuclear weapon. It was seen as the most powerful military force in human history. And then one morning in August of 1949, that all changed. Suddenly, the Soviets have the bomb and now the question everyone is asking isnโt whether thereโs gonna be another war. The question is how much warning youโre gonna have before the bombs start falling.
Because Soviet bombers carrying nuclear weapons are now a real possibility. And the United States needs a way to see them coming. They donโt have hours, they have to see them in minutes.
So the government called MIT. And MIT called IBM. And together they built something that had never existed before, a real-time nationwide radar network powered by the most powerful computers on earth. They call it SAGE. It stands for Semi-Automatic Ground Environment.
Now hereโs what SAGE actually was. Hundreds of radar stations spread across the entire North American continent, all feeding data in real time into a central network of massive computers. Each direction center had two of these computers. And this was before microchips or nanotechnology, so each computer filled an entire building. Like weโre talking about machines that took up as much space as a large warehouse. They ran on vacuum tubes. Tens of thousands of vacuum tubes. And there were so many of them generating so much heat that the machines basically functioned as the heating system for the entire building through the frigid New England winter.
And inside these buildings youโve got operators sitting in dim rooms in front of glowing screens. Watching blips of light. And every blip is an aircraft. The systemโs tracking them, identifying them, processing the data in real time, and helping commanders decide which ones are threats. And this is all happening automatically.
For its time, this was the most ambitious computing project in the history of the world.
And hereโs the key number I want you to remember. Between 1952 and 1955, 80% of IBMโs entire computing revenue came from SAGE alone. Think about that. Eighty percent. IBM, one of the most powerful technology companies in American history, became what it is because the government needed a machine to watch the sky for Soviet bombers.
The government didnโt just fund this technology. They were the entire market.
So now think about what SAGE actually is. Strip away the 1950s context. Itโs a network of sensors pulling data from across an entire continent. Real-time processing. A central system that builds one unified picture of everything thatโs moving. A command layer that decides what to do with that information.
Does that sound like anything you use today?
Because it should. Thatโs your phone. Thatโs your smart home. Thatโs the AI camera system watching your cityโs intersections right now. The technology got smaller. A lot smaller. But the architecture never changed.
๐๐๐๐๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ: ๐๐ก๐ ๐๐๐ง ๐๐ก๐จ ๐ ๐ฅ๐๐ฐ ๐๐ฏ๐๐ซ๐ฒ๐ฐ๐ก๐๐ซ๐
So now we meet Lick properly.
His full name was Joseph Carl Robnett Licklider. Everyone just called him Lick. He was a psychologist by training. And heโd spent time working on the human side of SAGE, studying how those operators interacted with the glowing screens, how their minds processed the information, how the machine and the human could work together more effectively.
And what he saw convinced him of something that almost nobody else believed at the time. He became genuinely convinced that computers werenโt just calculators. They werenโt just fast adding machines. He believed that one day, a computer would be a real partner to human thought. Like an extension of the mind itself.
So in 1960, two years before he ever set foot in the Pentagon, Lick published a paper. He called it โMan-Computer Symbiosis.โ And in it he describes a future so specific, so detailed, so accurate about what we now live inside of, that reading it today is honestly a little unsettling.
Heโs describing a machine that would anticipate what you needed before you asked for it. A machine so tightly coupled to your thinking that the line between your mind and the machine would start to blur. He used the word symbiosis on purpose. Like two organisms so dependent on each other they canโt survive apart. He called it partnership. And he said it was beautiful.
What he didnโt say, at least not in that paper, is who was gonna fund this vision into existence.
In the fall of 1962. Lick walked into a small office inside ARPA, the Advanced Research Projects Agency. This was the Pentagonโs research arm, created by President Eisenhower in 1958. You may know it today as DARPA. They added the D for Defense in 1972. Same agency, same mission, just a more honest name. And inside that agency, Lick took over something called the Information Processing Techniques Office, the IPTO. He had nearly $10 million of Department of Defense money and a mandate so vague it basically gave him permission to do whatever he wants.
So he starts flying across the nation:
MIT in Cambridge. RAND Corporation in Santa Monica. Berkeley. UCLA. Carnegie Tech. Heโs just crisscrossing the country. Showing up at university labs and research centers. Meeting the smartest people in computing and giving them money. Government money, Defense Department money, with almost no strings attached.
And he called this network of people he was funding, with a sense of humor that probably only a psychologist could pull off, the โMembers and Affiliates of the Intergalactic Computer Network.โ I love that. The network didnโt exist yet. The computers he was visiting couldnโt talk to each other yet. But Lick understood something really important about how movements get built. You name the thing before it exists. You build the community before the infrastructure. And then you fund it into reality.
And out of his IPTO office came the research that eventually became time-sharing computers, thatโs the technology that lets one computer serve many people at once. It sounds basic now, but in 1962 it was revolutionary. Itโs the reason your phone can run ten apps at the same time right now. It also gave us interactive screens, speech recognition, and most importantly, the network of connected computers that would eventually become the internet.
So hereโs the question I want you to think about.
Lickโs paper described a machine that would know you, that would model your thinking, that would anticipate your needs. That would be so woven into your life that you couldnโt function without it. And the institution that took that vision and funded it into reality was the United States Department of Defense.
The purpose was never a partnership with you. It was always command and control. It was building a nervous system for the military. A digital nervous system. A way for commanders to have real-time awareness of everything and everyone they needed to watch.
Hereโs the question nobody asked: who decides who they need to watch?
๐๐ก๐ ๐๐๐ฆ๐ ๐๐ฅ๐ฎ๐๐ฉ๐ซ๐ข๐ง๐ญ ๐๐ฎ๐ง๐ง๐ข๐ง๐ ๐๐ข๐ ๐ก๐ญ ๐๐จ๐ฐ
So now jump forward. January 21, 2025. Day two of Donald Trumpโs second term.
Trumpโs standing in the White House. On his left is Sam Altman, the man who runs OpenAI. On his right is Larry Ellison, the founder of Oracle. And alongside them is Masayoshi Son, the founder of SoftBank. And they announce a project theyโre calling Stargate. Up to $500 billion to build AI data centers across America. Itโs the largest single technology investment in American history.
And then Sam Altman looks at the president and says directly:
โWe wouldnโt be able to do this without you, Mr. President.โ
The president. The military. The biggest AI companies in the world. All in the same room. Working toward the same goal.
And youโve heard this story before.
You heard it in 1958 when Eisenhower created ARPA. You heard it when the government called MIT and IBM to build SAGE. You heard it when Lick was flying city to city handing out Pentagon money to university researchers. It was the same partnership, the same urgency. The same direction of money. And the same question: what are they really building, and who is it really for?
The answer they give you is China. And look, I really know that threat is real. Chinaโs AI computing capacity jumped 74% in a single year. Beijing invested $1.4 trillion into its tech sector this decade. Theyโre building data centers across the developing world right now, installing a Chinese technology stack inside other countriesโ governments, hospitals, and schools. The US-China AI race is real. Itโs serious. Iโm not dismissing that.
But hereโs what Lickโs story actually teaches us. And hereโs what the real history of artificial intelligence shows us if youโre willing to look at it clearly.
Every single time America runs a major technology race in the name of a foreign threat, the infrastructure it builds always ends up pointed inward.
SAGE was built to watch Soviet bombers. Its architecture became the foundation of the commercial computing industry that now runs your daily life. Then came ARPANET, Advanced Research Projects Agency Network, thatโs the government computer network that eventually became the internet. It was built to keep Americaโs military communications alive in the event of a nuclear attack. And its architecture became the internet that tracks every search you make and every message you send. And now Stargate is being built, $500 billion, announced on day two of Trumpโs second term, officially to keep America ahead of China in the AI race.
So what do you think that architecture is going to be used for?
They always have an enemy to point to. But the technology they build to fight that enemy never goes away. It just gets turned toward you.
๐๐จ๐ฐ ๐ญ๐ก๐ ๐๐๐ซ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐๐ฆ๐ ๐๐จ๐ฎ๐ซ ๐๐ก๐จ๐ง๐
Now I want to show you the pattern one more time. Because itโs the same pattern every single time and once you see it you just canโt unsee it.
DARPA funds the research. AI research. Computing research. The kind of research thatโs too expensive, too risky, and too long-term for any private company to fund on its own.They fund it inside military labs and university research centers. They prove the concept. They build the architecture. And then at the right moment, they hand it to the private sector. They put a friendly name on it. They build a nice logo. They run some commercials. And they make it feel like it came from a garage in Palo Alto or a dorm room at Harvard.
SAGE set the foundation for the commercial computing infrastructure that made IBM a global empire. ARPANET begat the internet. Lickโs IPTO research begat time-sharing computers, interactive screens, speech recognition, and the networked world we now live inside of completely.
And by the time any of it reaches your living room, nobody remembers where it came from. Nobody connects the blinking cursor on your screen to a dim room full of operators watching Soviet aircraft blips in the 1950s.
The tech changed, but the mission didnโt.
So when your child opens an AI app at school this week, I want you to actually understand what that is. Itโs a system built on an architecture that was designed, at its origin, to model human behavior for military command and control purposes. It was funded by the Defense Department. It was proven in military applications. Then it was handed to a technology company, given a friendly interface, and placed in your childโs classroom.
You didnโt consent to that. The school board didnโt consent to that. It wasnโt put to a vote. It just arrived.
They built the infrastructure. Then they moved in.
Source: Man In America
๐๐จ๐ฐ ๐ญ๐ก๐ ๐.๐. ๐๐ข๐ฅ๐ข๐ญ๐๐ซ๐ฒ ๐๐ฎ๐ข๐ฅ๐ญ ๐.๐. ๐๐ง๐ ๐๐จ๐ข๐ง๐ญ๐๐ ๐๐ญ ๐๐ญ ๐๐จ๐ฎ | ๐๐ฆ๐๐ซ๐ข๐๐ ๐๐ข๐ฃ๐๐๐ค๐๐ ๐๐๐๐
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