AI Skills Exchange Network With Blockchain Task Ledger
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Solution Overview
Problem
Current intelligent personal assistant (IPA) systems face inefficiencies due to varying computational power and training, leading to suboptimal performance and marketplace inefficiencies in computational task execution across a network, with a lack of accurate information on node capabilities and secure transaction management.
Innovation Solution
A decentralized, blockchain-driven network enables AI-enabled IPAs to interact autonomously, maintain a skills registry with benchmarked services, and utilize a secure transaction ledger for efficient task exchange, using tokens for value transfer and ensuring tamper-proof transaction records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a first IPA executes on a device with limited computational power, then the IPA can be deployed with lower hardware requirements, but the IPA cannot perform computational tasks in a reasonable amount of time
Solution Approach 1:
The patent segments the computational workload by introducing a skills exchange network where different IPAs specialize in different computational tasks. Each IPA can be optimized for specific functions rather than requiring all-around computational power, allowing deployment on devices with limited resources while maintaining high performance for specific tasks through networked collaboration.
Solution Approach 2:
The patent introduces a skills exchange network as an intermediary layer between IPAs and computational tasks. This network matches computational requests with appropriate IPAs based on their specialized skills and availability, enabling efficient task distribution across the network without requiring each individual IPA to have high computational power for all task types.
2Productivity
If computational tasks are distributed across multiple IPAs in a network, then overall network efficiency improves, but accurate information about node capabilities and secure transaction management becomes more complex
Solution Approach 1:
The patent creates a universal skills exchange network that handles multiple functions through standardized mechanisms: skill registration, capability benchmarking, task matching, and secure transaction management. This multi-functional platform simplifies the complexity by providing unified interfaces and processes rather than requiring separate systems for each function.
Solution Approach 2:
The patent implements feedback mechanisms where IPAs continuously update their skill levels and performance metrics in the skills registry. This feedback loop enables the network to maintain accurate information about node capabilities dynamically, allowing efficient task distribution while automatically adapting to changes in IPA capabilities and availability.
3Productivity
If IPAs autonomously exchange computational tasks and services, then operational efficiency and cost-effectiveness improve, but secure and tamper-proof transaction recording becomes essential
Solution Approach 1:
The patent implements preliminary actions by establishing smart contracts and secure transaction protocols before IPAs engage in autonomous task exchanges. These pre-configured security measures ensure that transactions are recorded tamper-proof from the outset, enabling autonomous operation while maintaining reliability without requiring complex real-time verification mechanisms.
Data Source
AI summary
An improved decentralized, blockchain-driven network for artificial intelligence (AI)-enabled skills exchange between Intelligent Personal Assistants (IPAs) in a network is disclosed that is configured to perform computational tasks or services (also referred to herein as “skills”) in an optimally-efficient fashion. In some embodiments, this may comprise a first IPA paying an agreed cost to a second IPA to perform a particular skill in a more optimally-efficient fashion. In some embodiments, a skills registry is published, comprising benchmark analyses and costs for the skills offered by the various nodes on the skills exchange network. In other embodiments, a transaction ledger is maintained that provides a record of all transactions performed across the network in a tamper-proof and auditable fashion, e.g., via the use of blockchain technology. Over time, the AI-enabled nodes in the system may learn to scale, replicate, and transact with each other in an optimized—and fully autonomous—fashion.