AI Pipeline NFT Minting and Execution on Blockchain
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current NFT technology is limited to proving ownership of digital content and lacks utilization in advanced technological contexts such as the metaverse, requiring development to leverage NFTs at a higher technological level.
Innovation Solution
The implementation of an artificial intelligence pipeline non-fungible token (AI-NFT) that utilizes a distributed blockchain network to manage and transact AI pipelines, including minting blockchain-based NFTs with ownership information, executing AI pipelines across worker nodes, and recording proof-of-work to update blockchain states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If NFT is used only for proof of original ownership of digital content, then the implementation is simple and straightforward, but the technological utilization level remains low and cannot support advanced applications like metaverse
Solution Approach 1:
The patent extends NFT functionality from simple ownership proof to multiple functions including AI pipeline representation, execution coordination, result verification, and value propagation. The NFT becomes a universal token that can represent and manage entire AI pipelines rather than just digital content, enabling advanced applications while maintaining a unified system architecture.
Solution Approach 2:
The patent segments the AI pipeline into discrete, manageable components that can be represented by NFTs. Each AI pipeline is divided into executable units that can be independently minted, tracked, and verified on the blockchain, allowing complex systems to be built from modular NFT-based components.
2Reliability
If AI pipeline transactions are implemented on distributed blockchain network, then ownership and reproducibility are ensured, but the computational overhead and transaction complexity increase
Solution Approach 1:
The AI pipeline NFT system performs self-verification through automated execution on worker nodes. The pipeline executes itself on the blockchain network, automatically verifying its own functionality and generating proof-of-work results that confirm ownership and authenticity without requiring external manual verification.
Solution Approach 2:
The system implements feedback loops where execution results are automatically recorded back to the blockchain. The proof-of-work results from worker nodes feed back into the NFT metadata, creating a closed-loop verification system that continuously confirms ownership and pipeline integrity through automated feedback mechanisms.
3Reliability
If worker nodes execute AI pipelines and record proof-of-work, then execution accountability is improved, but the network resource consumption and processing time increase
Solution Approach 1:
The AI pipelines are pre-packaged and configured within the NFT structure before deployment. All necessary code, parameters, and execution instructions are prepared in advance and embedded in the NFT metadata, allowing worker nodes to execute immediately without additional setup or configuration time.
Solution Approach 2:
The patent uses blockchain copying where the NFT and its metadata are replicated across distributed nodes. This allows multiple worker nodes to simultaneously access and execute the same AI pipeline definition without sequential coordination overhead, reducing processing time while maintaining accountability through distributed verification.
Data Source
AI summary
The present disclosure relates to a non-transitory storage medium for storing program code and a method of executing an artificial intelligence (AI) pipeline non-fungible token (NFT). The program code is executed by a hardware processor to mint a blockchain-based NFT including ownership information of the AI pipeline, request an execution of the program code performing a predetermined function in an event node executing the AI pipeline according to a request of execution of an NFT owner, connect to at least one worker node to execute a target AI pipeline of the NFT, receive an execution result value of the worker node to record a proof-of-work for the execution result value in the event node, and collect the execution result value of the worker node on which the proof-of-work is performed is performed to change a blockchain state.