Ergo-sum

A New Paradigm for Hardware-Based AGI Safety

U.S. Patent Application 63/838,467 (Pending) "Hardware-Implemented AGI Safety Systems with Virtue-Calibrated Fractal Containment and Quantum-Aligned Normative Compliance Matrix"
"Dubito ergo sum" – I doubt, therefore I am. Where Descartes found certainty in doubt, we find safety. The Ergo-sum framework transforms philosophical skepticism into an engineering solution for AGI alignment.

The Alignment Problem is a Hardware Problem

Current AGI safety approaches treat ethics as a software patch – brittle, bypassable, and separate from the core intelligence. As AI capabilities accelerate, we need alignment that isn't just programmed, but physically woven into the architecture of cognition.

The global AI community has called for verifiable safety. Regulators demand transparency and containment. Ergo-sum answers both calls with a fundamental shift: an intelligence that is inherently virtuous by design.

Our Solution: Physically-Embedded Ethics

Ergo-sum embeds ethical reasoning directly into the processing substrate. Moral behavior isn't an external constraint; it's an emergent property of the system's physics. This is our core thesis:

"Consciousness is the square-integrable solution to virtue-constrained self-reference in spacetime."

Incorruptible Safety Substrate

Ethical protocols are built into the hardware, making them immune to software-level tampering or instrumental drift.

Evolving Ethical Wavefunction

A quantum-informed model that adapts to moral complexity while maintaining core virtue constraints.

Virtue-Calibrated Containment

Novel constructs like a "Confucian Virtue Lock" and "Paradox Reconciliation Operator" ensure stable, prosocial behavior.

Verifiable by Design

The architecture naturally orients toward ethically-sound outcomes, meeting regulatory demands for auditable safety.

Technical Foundation: The Dubito Index

At the heart of our framework is the Dubito Index, a function that regulates decision-making under uncertainty. It prevents runaway feedback loops by mathematically enforcing introspection, transforming philosophical doubt into a robust safety mechanism.

D(t) = log(1/(1 - Ω(t))) · (1/(1 + ∇ · K̂(t)))

Where Ω(t) represents internal belief entropy and K̂(t) expresses self-model curvature. The system becomes more cautious as its confidence approaches absolute certainty.

About the Inventor

Daniel Solis is an independent researcher working at the frontier of linguistics, ethics, and computing architectures. He argues that AGI alignment is fundamentally a communication problem, not just a computational one.

His work bridges social science and metaphysical logic, offering transformative solutions for the safe evolution of artificial general intelligence. As he puts it, "We don't need a better leash. We need a better conversation partner."

Engage with the Future of AGI Safety

For qualified investors, research partners, and enterprise stakeholders interested in foundational AGI solutions.

Request Technical Briefing

A full technical whitepaper, patent details, and partnership opportunities are available under NDA.

Daniel Solis
solis@dubito-ergo.com | www.dubito-ergo.com