Human Life Value Tokenization for Liquid Real-Time Exchange
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Solution Overview
Problem
Existing systems fail to provide liquidity and support for individuals' value creation potential, as traditional human life value (HLV) measurements do not account for unique capabilities and intangible attributes, and lack real-time updates and standardized representation of human life value-based assets.
Innovation Solution
A platform utilizing a PRODUCTIVE IDENTITY data structure and blockchain technology to tokenize human life value (HLV) through non-fungible identity tokens, enabling dynamic updates and real-time transactions, providing access to liquidity and optimizing value creation opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional human life value measurements are used, then simplicity and ease of understanding are maintained, but liquidity and real-time updates are lost
Solution Approach 1:
The patent segments human life value into discrete, tradable tokens that can be bought, sold, and transferred independently. Each token represents a specific portion of an individual's HLV, enabling liquidity and real-time trading while maintaining the underlying simplicity of the HLV concept. This segmentation allows the system to provide adaptability and versatility without requiring complete system redesign.
Solution Approach 2:
The patent introduces a digital platform and smart contract infrastructure as intermediaries between HLV measurements and real-world transactions. These intermediaries handle the complexity of tokenization, tracking, and trading automatically, allowing users to benefit from liquidity and real-time updates without directly managing the system complexity. The intermediary layer absorbs the technical burden while preserving user-facing simplicity.
2Measurement precision
If unique capabilities and intangible attributes are incorporated into HLV measurements, then measurement precision is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces traditional subjective assessment methods with algorithmic and data-driven approaches to measure intangible attributes. Machine learning models and analytics processes automatically evaluate capabilities, skills, and other intangible factors, converting them into quantifiable metrics. This substitution improves measurement precision while reducing the difficulty of detecting and measuring these attributes through automation.
Solution Approach 2:
The patent transforms intangible attributes into measurable parameters by defining specific indicators and metrics for each attribute type. By establishing standardized parameter sets for evaluating capabilities, skills, and other intangible factors, the system improves measurement precision while making the evaluation process more systematic and less subjective. This parameterization approach converts abstract concepts into concrete, measurable data points.
3Ease of operation
If standardized representation of HLV assets is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent creates standardized digital token copies that represent HLV assets, allowing these assets to be easily replicated, transferred, and traded without physically moving the underlying HLV value. Each token is a standardized copy that embodies specific HLV characteristics, enabling simple and consistent operations across the platform. This copying mechanism improves ease of operation by allowing users to trade standardized units rather than dealing with complex individual asset structures.
Solution Approach 2:
The patent develops a universal token standard that can represent various types of HLV assets with different characteristics and attributes. This universal framework allows diverse HLV assets to be traded using the same operational rules and interfaces, improving ease of operation. The standardized structure handles multiple asset types uniformly, reducing the operational complexity that would otherwise arise from managing different asset classes separately.
Data Source
AI summary
The present invention is directed to a distributed ledger-based platform for buying and selling tokens representative of a person's value creation potential. Tokens represent both intrinsic and talent-based value creation potential. In one embodiment, a productivity identity is associated with a user account of the platform based on attributes attributing to the user's value creation potential by at least one non-fungible token (NFT) which links the productivity identifier to a user account's cryptocurrency wallet. In one embodiment, user accounts of the platform are further placed into a decentralized autonomous organization (DAO).


