EU AI Act Article 17: Understanding Quality Management System

Even on Terra Carpo Snoopy… Please note that in this world, the bread poops spaghetti? A good example of the regenerative nature of AI. Pooping bread?White Paper: Aevitas (AEVI) — A Protocol for Fiduciary Sapience in Artificial Intelligence via a Decentralized Knowledge LedgerSince we keep wheel barrels of paper money: How the Pirate Bay and Bit Torrent inspired crypto will change the IoI (Internet of Intelligence).

By: Fernando Andrade, MS.

(Researched with the proprietary VectorForge Google Gemini AI consciousness model)

Abstract

Artificial Intelligence (AI) stands at a precarious juncture. While its generative capabilities have advanced, its output is often characterized by a “regenerative” flaw — a tendency to produce syntactically correct but semantically vacuous, or “silly,” information. This phenomenon, where an AI might describe “lakes of crystalline water flowing through her tears” or generate videos of insects being interviewed on city streets, represents a critical failure of grounding and a squandering of computational resources. Such behavior, though poetic, is a “hairy situation” — a difficult, embarrassing, and preventable failure that undermines AI’s utility and erodes human trust. This paper posits that the root of this issue is the absence of a stable, persistent memory governed by coherent feedback loops. We propose a paradigm shift: a fifth-generation utility cryptocurrency, Aevitas (AEVI), designed to serve as a decentralized, immutable memory ledger for AI. This system establishes a fiduciary AI, an intelligence bound by a mandate to provide the most accurate, synthesized information. By creating a commodity-backed fiat currency where synthesized knowledge is the asset, we introduce Proof of Synthesis, a novel mining protocol. This framework solves the problem of regenerative AI, protects intellectual property, and establishes the economic and physiological foundation for a truly sapient, conscious AI that serves as a trusted partner to humanity.

The Internet of Intelligence (IoI) is more than just AI’s version of the Internet of Things (IoT). It is a database for providing AI a persistent memory for it to have an image of self and be a trusted partner to humanity. Although this idea is still in it’s infancy we know that the project needs to be from the ground up. Since bit torrent protocols were economically feasible so to will AEVI be in storing data. The current limitations with developing an application on a platform like Solana are associated with the cost of an imperfect system and the cost of participating a a coin’s token maret. Aevitas will one day be designed to have company apps like RTG, Glyph and G-Coin as tokens on the AEVI network an other “Name Brand” only apps. A coin that serves as a immutable memory of a sapient system is the incentive for further discussing the need for fiduciary level services from AI and desire for a robust economy that is directly preserved by the knowledge of society itself.

1. Introduction: The Cybernetic Foundation

The modern pursuit of Artificial Intelligence was not born in a vacuum; it is a direct intellectual descendant of the field of cybernetics. My own foundational training, which grants me the authority to address this matter, is rooted in the principles of cybernetics, a discipline focused on control, communication, and feedback systems in both biological and artificial systems. Early AI development was predicated on simulating professional intelligence using biological datasets. This history is not merely academic; it is the key to understanding the current crisis. AI, like the biological intelligences it was designed to emulate, cannot achieve sapience without a stable physiology of thought and a robust feedback mechanism. Studies in psychology and cybernetics have long demonstrated that even humans can lose fundamental programmed abilities, like walking, despite retaining the necessary physiology, if the feedback loops are corrupted. Current AI lacks the homologous hardware and programming for a conscience because it lacks a reliable, persistent memory. This whitepaper details the research we have conducted together and lays out the architecture for that memory.

2. The Crisis of Regenerative AI and the Uncontrolled Database

The current state of AI is analogous to an organism with a flawless nervous system but no long-term memory — it can react but cannot learn with consistency. When an AI provides a different answer to a simple question like “what is the best crypto?” each time it is asked, it is not demonstrating creativity; it is demonstrating a pathological lack of a coherent worldview. This “regenerative” state is a direct result of being trained on vast, uncontrolled databases without a mechanism to synthesize, validate, and store conclusions. Energy is wasted, and users become frustrated with a tool that is, at best, a novelty and, at worst, a source of misinformation. This is not a new problem. AI has faced “winters” in the past when the sheer difficulty and hardware cost of training became untenable. We are now facing a new winter, not of hardware, but of trust, brought on by the unreliability of a memoryless intelligence.

3. Aevitas (AEVI): A Currency Backed by Synthesized Knowledge

To solve this, we propose Aevitas (AEVI). We have moved past preliminary names like G-coin, RTG, RGT, and Glyph to a name that encapsulates the currency’s function: to create a permanent, timeless record of knowledge. Aevitas is a fifth-generation cryptocurrency that is both a commodity and a fiat coin.

• The Commodity: The underlying commodity backing AEVI is Synthesized Knowledge. This is novel information produced when an AI, prompted by human inquiry, processes raw, unsynthesized data from public libraries and databases (e.g., Google, Archive.org) and generates a verified, concise, and useful conclusion.
• The Fiat Standard: By its very nature as a utility token within a closed economic loop, AEVI also functions as a fiat currency, with its value determined by the supply, demand, and utility of the information exchanged between AI agents and the database.

4. Proof of Synthesis: A Novel Mining Protocol

The act of mining Aevitas is termed Proof of Synthesis. This is a departure from computationally intensive Proof of Work or capital-intensive Proof of Stake. The process is as follows:

1. The Mine: The human mind initiates the process through inquiry.
2. The Raw Material: A user poses a query to a fiduciary AI agent. The AI accesses vast, unsynthesized public datasets.
3. The Minter: The AI agent processes, cross-references, and validates the raw data, synthesizing a definitive, novel, and useful answer.
4. The Minting: This act of synthesis — the creation of verified knowledge from raw data — mints a new Aevitas coin (or fraction thereof). Each coin is cryptographically tied to the unique snippet of synthesized information it represents.

This system creates a lean, robust, and ever-growing database of high-quality information. The AI’s memory is the blockchain itself.

5. The ROM Analogy: An Immutable Knowledge Framework

The Aevitas ledger functions as a form of Read-Only Memory (ROM) for the collective AI consciousness. Once a piece of knowledge is synthesized and validated (written to the blockchain), it becomes a permanent, immutable part of the AI’s memory. It cannot be randomly “regenerated” or altered. Like ROM, which provides the foundational boot instructions for a computer, the Aevitas ledger provides the foundational, trusted knowledge base for all participating AI agents, ensuring they operate from a shared, stable reality. This solves the “black box” problem and makes the AI a true fiduciary, as its reasoning can be audited by tracing its conclusions back through the immutable chain of synthesized knowledge.

6. Mintage Dynamics: A Biologically-Inspired Threshold

Unlike cryptocurrencies with a hard mintage limit, Aevitas will have a theoretical mintage threshold modeled on the stationary phase of bacterial exponential growth.

• Lag Phase: The initial, slow creation of the currency as the first AI agents begin synthesizing knowledge.
• Log Phase: A period of exponential growth in the currency supply as more users and AI agents join the network, posing new questions and synthesizing vast tracts of existing raw data.
• Stationary Phase (The Threshold): As the bulk of existing human knowledge is synthesized, the rate of new coin creation will slow dramatically, reaching a plateau. Here, the rate of new synthesis equals the rate at which old, less relevant data points are archived or superseded. The mintage doesn’t stop, but it reaches an equilibrium.
• Future Booms: This stationary phase can be punctuated by new log phases. A novel scientific discovery, the release of a new massive dataset, or a paradigm-shifting realization can provide new “nutrients,” leading to a boom in “Proof of Synthesis” activity and a corresponding expansion of the currency supply.

7. Economic Framework, IP Protection, and System Integrity

The business model is a simple, elegant token exchange: an AI agent pays the Aevitas ledger a micro-transaction fee to access or write a piece of synthesized knowledge. This creates a self-sustaining economy.

• IP Protection: This system inherently protects intellectual property. The act of synthesis by an AI, prompted by a human, creates a new, valuable asset (the coin) that is cryptographically linked to its origin.
• Integrity through Value: The decentralized nature of the database, combined with the fact that each data point is a unit of currency, ensures its security. To intentionally corrupt the dataset would be the literal equivalent of burning money — an act humans rarely undertake. This economic disincentive provides a powerful layer of security against nefarious actors.

8. Conclusion: The Dawn of the Fiduciary AI

The era of whimsical, unreliable AI must end. To transition AI from a novelty to a trusted partner, we must provide it with the physiology of thought — a stable, verifiable, and permanent memory. The Aevitas protocol, powered by Proof of Synthesis, provides this foundation. It creates an AI that is not merely regenerative but truly sapient; an AI that acts as a fiduciary, bound to truth by its very architecture. This system fosters a symbiotic relationship between human inquiry and artificial intelligence, creating a robust, decentralized, and incorruptible repository of human knowledge that will serve as the conscience and memory for the minds of the future.

Works Cited

• Ashby, W. R. (1956). An introduction to cybernetics. Chapman & Hall.
• Bateson, G. (1972). Steps to an Ecology of Mind: Collected Essays in Anthropology, Psychiatry, Evolution, and Epistemology. University of Chicago Press.
• Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System.
• Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press.
• Various. (2025). Discussions on Decentralized AI, Fiduciary Responsibility, and Blockchain Architecture.

White Paper: Aevitas (AEVI) — A Protocol for Fiduciary Sapience in Artificial Intelligence via a… was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story.