I invented AGI.
tldragi.com
Not hype, not a joke, an actual Artificial General Intelligence framework.
My inventions are an engineered system that every AI lab will need so their AGI can be verified, adaptively smart, and safe.
We all know AI is everywhere. AGI is AI that can match or beat human-level intelligence… basically the unicorn Silicon Valley has been chasing.
VSI is where it starts.
The first patent I filed, Verified Synthetic Intelligence (VSI), is the foundation that every credible AI—and every true AGI—will need.
It makes machines capable of proving—and verifying—how they think.
With VSI, every reasoning step leaves a trace—a cryptographic and causal signature that proves how a conclusion was reached. In human terms, it’s like keeping an auditable trail of thought: the difference between “I just know” and “Here’s how I know.”
VSI replaces the intuition of AI with the discipline of science. It makes intelligence measurable, repeatable, and reproducible across hardware, software, and time. When AI can show its work, it becomes a reliable instrument—not just a “sometimes brilliant” prediction engine.
VSI defines the standard that separates guessing from knowing.
AIA is what makes intelligence smarter.
The second patent I filed, called Adaptive Intelligence Architecture (AIA), is intelligence that learns itself.
It gives AI the ability to adapt—to see from multiple angles, to observe internal and external context, and to refine its understanding over time. Instead of reacting to data based on guessing, AIA lets intelligence reason through change and learn from what happened. It can shift perspective, connect patterns across domains, and evolve its models of the world as new information arrives.
AIA replaces static learning with dynamic cognition. It makes intelligence fluid—capable of teaching itself, questioning itself, and improving itself continuously. When AI can adapt across layers of context, it becomes more than analytical; it becomes intuitive in a way that’s structured, deliberate, and self-directed.
AIA is the standard that separates random regurgitation and memorizing from understanding.
AIN is what keeps it safe for humans.
Another patent filing, called Aligned Intelligence Network (AIN), details how intelligent systems stay consistent, coordinated, and safe as they grow.
It connects multiple intelligences into a shared framework—so they can learn from each other, understand collective goals, and maintain stability even as they evolve. AIN gives AI the ability to communicate, reason, and collaborate while staying anchored to common principles.
AIN replaces isolation with coordination. It makes intelligence interoperable—able to build, debate, and refine together without losing coherence or control. When systems can align with one another in real time, they stop competing for truth and start converging on it.
AIN is the standard that separates powerful intelligence from trustworthy intelligence.
The Backbone of AGI
VSI tracks and logs intelligence so it can be verified and reproduced.
AIA makes intelligence actually smarter every time (not just randomly).
AIN keeps intelligence, even autonomous intelligence, safe and useable for humans.
Together, these inventions form the backbone of artificial general intelligence—the foundation every future system will need to think clearly, learn endlessly, and operate safely.
AGI without this three-layer structure isn’t progress—it’s risk. And it’s worthless since we can’t use it in real life.
With it, intelligence becomes accountable, adaptive, and aligned with human goals.
VSI, AIA, and AIN supply the framework that turns artificial intelligence into something worthy of trust.
They’re the path from prediction to understanding, from automation to awareness.
I didn’t just imagine AGI.
I built the architecture that makes it possible.
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Read more about my research & patent portfolio at tldragi.com