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Delete Before Share: Vatsal Soin Secures Human Privacy AI-to-Quantum, Addresses Trillions in Global Waste

As AI scales toward AGI and quantum computing threatens today’s encryption standards, a new privacy-first architecture is being proposed to help the world calculate and cut trillions in waste without exposing a single line of personal data. Indian inventor Vatsal Soin , a global patent portfolio holder in AI and quantum-resilient systems, has introduced the 0→1 Doctrine, a framework that converts human needs into standardized numerical bands, while retaining the underlying data at its source. Photo Courtesy of Vatsal Soin A New Doctrine for the AI–Quantum Era Filed under U.S. patent application 19/489,595 on December 3, 2025, the 0→1 Doctrine advances a simple but radical proposition: delete details before sharing, instead of encrypting after collection. It is designed as a coordination architecture for an age of AGI, superintelligence, and quantum machines, where traditional “average-based” planning leads to massive global inefficiencies. Rather than transmitting raw personal or system data, the framework converts parameters into non-invertible 0→1 bands and then deletes the underlying source data. Even with infinite computing, there is nothing left to reconstruct, shifting the conversation from data protection to the mathematical non-existence of data beyond its origin. Privacy Without Exposure Today’s AI tools, from chatbots to federated learning, still need to “see” user data to operate, creating inherent privacy risk. The 0→1 Doctrine instead normalizes raw inputs locally using large-number methods, probability theory, calibration models, copula dependencies, and interval mathematics, before purging them from the system. Only abstract alignment bands travel across networks, allowing systems to coordinate, optimize, and decide, all without identity, measurements, or records ever leaving the device, hospital, enterprise, or national boundary. This enables AI-scale coordination while remaining human-privacy native by design. Human Judgment by Mathematical Necessity At its core, the doctrine encodes limits where automation must stop, and humans must decide. Certain variables—like aesthetics, cultural preferences, or ethical trade-offs—are defined as mathematically non-normalizable, forming what Soin calls the Human Oversight Pathway Necessity. Machines operate in the 0→1 space; humans evaluate the non-normalizable outcomes. Execution occurs only when both domains are complete, making human oversight a mathematical requirement rather than a policy checkbox. The collapsible framework transforms physical dimensions, pressure limits, timing requirements, and load capacities into 0→1 alignment signals through mathematical compression drawing on multiple scientific disciplines. The 0→1 interval provides mathematical coherence across billions of low-edge devices without compromising privacy or system integrity. Novel axioms, lemmas, theorems, equations, principles, doctrine, systems, and standards define limits, enable privacy, constrain automation, authorize execution—QED closing the 0→1 invention. From Individuals to Planetary Systems For nearly two centuries, the global economy has operated on averages rather than fundamental human needs, misaligning products, services, and assets, resulting in massive returns, dead inventory, shortages, and inefficiencies that have quietly accumulated into trillions of dollars in global waste worldwide. Scaling is proposed from one to any number, with illustrative examples providing a focused glimpse of alignment across Planetary & Environmental Systems, Natural Resources & Global Infrastructure, Enterprise, Commerce & Global Systems, Science, Space & High-Precision Domains, Human Systems & Public Life, Daily Use & Fit-Critical Domains, and Robotics, Automation & Machine Systems. Representative instances include critical-mineral demand 0.60–0.72 aligning with refining-capacity 0.66–0.78, pandemic-response load 0.68–0.80 matching medical-network readiness 0.72–0.88, and autonomous-vehicle fleet load 0.62–0.76 coordinating with smart-corridor control 0.70–0.90, without exposing operational details; alignment triggers execution, while misalignment initiates automated alternative searches and captures learning data. Because all domains, from physics and medicine to logistics and quantum systems, can be expressed through shared 0→1 intervals, the doctrine acts as a digital lingua franca for coordination. About Vatsal Soin Vatsal Soin, an Indian-born inventor, holds 21 patent filings with several grants, including those in the United States, Japan, and other countries. His prior work in biometric-fit modeling, AI-driven sizing systems, and design automation is publicly verifiable on LinkedIn. Positioned as a candidate global standard for privacy-preserving coordination, the 0→1 Doctrine now moves toward regulatory review, cross-sector pilots, and independent oversight—proposing an architecture where privacy is mathematically validated, waste is calculated rather than estimated, and human judgment remains non-negotiable in the AI–quantum era.