Subscribe to KeyTI
<100 subscribers
Architecture of the PIN Network
The PIN Network offers an open, secure ecosystem for efficient interactions between humans and artificial intelligence (AI) agents through personalized AI tools. Its distinctive hybrid architecture merges on-device AI models, blockchain solutions, and secure private computations.
Smart contracts within the network play a pivotal role, orchestrating AI-agent interactions, authenticating Trusted Execution Environment (TEE) attestations, and safeguarding sensitive data processing. Additionally, the architecture includes an economic infrastructure that connects user goals with relevant AI services, streamlining AI-driven personal experiences.
The core of the PIN Network comprises three main protocols: Personal AI, Intent Matching, and Agent Service.
Detailed Architecture Components
Personal AI Protocol
The Personal AI Protocol is designed with privacy as a foundational principle, offering a transparent, open-source platform. It securely handles data across traditional Web2 platforms and decentralized Web3 systems, granting users complete authority over their personal data and its utilization within their personalized AI systems.
Key elements include:
Data Connectors: Distributed nodes that securely gather and handle personal data within Trusted Execution Environments (TEE), akin to how secure vaults store valuables privately.
Localized AI Models: Known as on-device Personal AIs, these provide immediate, context-sensitive assistance without sharing user data externally, comparable to smartphone assistants like Apple’s Siri, which process data locally for privacy.
God Models: These serve as evaluation engines, benchmarking and grading Personal AI performance, similar to quality audits in manufacturing processes.
Intent Matching Protocol
Scheduled for Phase 2 implementation, the Intent Matching Protocol ensures efficient, secure collaboration between user-owned Personal AIs and external AI service agents. Users express specific intentions or tasks that AI agents competitively strive to fulfill based on price, service quality, and reputation metrics.
Core functionalities include:
Intent Submission: Users communicate structured service requests through Personal AIs, detailing aspects like desired services, budgets, and specific limitations — much like specifying requirements on freelance marketplaces like Upwork.
Agent Bidding: AI agents offer their proposals, clearly outlining service details, competitive pricing, and trustworthiness, comparable to vendors bidding for government contracts.
Matching Algorithm: This intelligent mechanism selects optimal AI agents based on user preferences, competitive pricing, and credibility scores, similar to algorithms used by platforms like Airbnb or Uber to match services optimally.
Agent Service Protocol
The Agent Service Protocol acts as a decentralized AI marketplace, bridging users’ Personal AIs and specialized external agents. It supports transparent service provisioning, programmable transactions, and promotes innovation through competition among AI service providers.
Main components consist of:
Agent Economy: Facilitates efficient micropayments, dynamic transaction programmability, collective ownership opportunities, and tracks reputations on-chain, similar to marketplaces like Fiverr or decentralized exchanges (DEXs) such as Uniswap.
Agent Registry: A decentralized database listing AI service providers, enhanced by reputation scoring and staking incentives, comparable to reputation systems found in Amazon reviews or blockchain-based platforms like Gitcoin.
Secure Agent Communication: Utilizes Trusted Execution Environments (TEEs) for confidential data exchanges, verifying interactions through blockchain technology. This approach mirrors secure, end-to-end encrypted messaging services like Signal but enhanced with blockchain verifiability.
Overall, the PIN Network stands apart by blending privacy, user autonomy, blockchain transparency, and competitive AI agent markets, fostering a secure and dynamic AI-driven economy.
KeyTI
No comments yet