By 6 p.m., the board had authorized a public funding campaign and a global marketing strategy built around our AI technology. By morning, Wayne made contact—a newly hired lecturer at Rochester Institute of Technology.

But Wayne wasn’t just a lecturer. He was an undercover U.S. intelligence officer. His mission: to infiltrate the team, gain access to the technology, and quietly bring it under government control.

This is the true story of what happened when the theory outlined in Science of Intelligence—a physics-based blueprint advancements towards general intelligence—moved from paper to to an ad-hoc prototype. It didn’t spark academic debate. It triggered a covert operation. The U.S. government didn’t ignore it. They classified it. They surveilled it. Then they tried to control it.

Politics of Superintelligence is the companion volume to Science of Intelligence. Where the first book introduces the theory underlying the engineering, this one reveals what happened behind the scenes—drawing from firsthand experience, dozens of documents and recordings, and a trail of government intervention that stretched from Portland to Oslo to Milan.

This isn’t a warning about hypothetical abuses. It’s a record of what already happened—when a small AGI research team potentially came close to the threshold, and the most powerful nation on Earth decided to intervene.

What is intelligence—really?

For over 70 years, the field of AI has advanced without ever defining the very thing it claims to replicate. Instead of grounding itself in science, it has chased engineering shortcuts, glorified pattern recognition, and defined success by profit, not understanding. This book calls the bluff.

In Science of Intelligence, Mounir Shita introduces a falsifiable scientific theory that defines the nature of intelligence itself—not just in humans or machines, but as a universal physical phenomenon. This foundational theory, known as the Theory of General Intelligence, was accepted for presentation at the 2022 International Conference for Advanced Research in Applied Science, Engineering, and Technology (ICARASET).

Rather than offering another AI framework, this book uncovers the scientific structure behind intelligent behavior—providing a blueprint for progress towards building true AGI from first principles, not imitation.

From quantum mechanics to Einstein’s spacetime, from ancient Islamic philosophy to the engineering failures of modern AI, this book dismantles today’s artificial intelligence myths—and replaces them with a rigorous, physics-rooted model of real intelligence.