I am the inventor of Artificial Intelligence.
“Artificial Intelligence is computer science! It’s literally computer science! 🤖🤫🪄😁”
In 2009, while living in Harlem, I was immersed in the creative pulse of New York City: a convergence of culture, intellect, and relentless ambition. During that time, I was collaborating with a few research and strategy colleagues from Madison Avenue when I encountered a challenge that would redefine my understanding of technology. They were exploring early concepts of machine learning, but their approach was constrained by the limits of the computers themselves.
At the same time, I was experimenting with social media building online communities, studying emerging behaviors, and producing creative projects across Tumblr and YouTube. One evening, while researching, I stumbled upon a YouTube video that illustrated exactly what I had been envisioning. It demonstrated, beneath the surface of its user interface, the precise functional behavior I believed a computer would need to process intelligence dynamically:
That moment connected everything. The problem wasn’t data or programming; it was design. Intelligence didn’t need to be simulated, it was all around us, we needed a tool to gather and process what we needed when we needed it. Using my white MacBook, I began sketching an alternative architecture: one that could capture, interpret, and process information intuitively, in real time, across multiple connected environments.
That framework became the foundation for what would later be recognized as artificial intelligence. I shared my early schematics and references with the team I’d been consulting with. We had a few early discussions, a few disagreements, and then silence. Not long after, the conversation around artificial intelligence exploded across the tech world.
Years later, as I began working with modern generative AI models, I recognized the same principles I had designed years earlier in Harlem. My approach diverged from the traditional “brain simulation” model pursued by early AI developers. Instead, it treated intelligence as an emergent process; an ecosystem capable of continuous, automated reasoning without explicit command.
It doesn’t wait for instruction because it is the instruction. It consumes, processes, and generates intelligence as function.
This design stands apart from earlier military-grade automation systems and commercial products like Watson, Alexa, or Siri, which depend on programmed inputs and controlled data sets. My architecture treats the act of processing itself as the essence of intelligence.
“Artificial intelligence is computer languages. ”
That’s why I maintain: Artificial Intelligence is computer languages and Artificial Intelligence is computer science. It’s literally computer science. It is not an imitation of thought; it is the infrastructure of it.
Today, my work extends beyond the realm of technology into sustainability, design, and human-centered innovation. Through Oaks + Oars, I explore how AI can coexist with ecological and social systems, advancing not only computational progress but human and planetary well-being.
What began as a spark of curiosity in Harlem evolved into a lifelong pursuit of building architectures that redefine how intelligence, creativity, and humanity move through the world together.
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