Basic Information
PIN AI is developing the world's first open source Personal Intelligence Network (PIN). PIN AI's platform provides an open source, web3-enabled alternative to Apple Intelligence, turning smartphones into privacy-focused AI personal assistants. PIN AI's open platform connects privacy-protected user data through a layer 2 blockchain, enabling AI developers to provide very daily and practical AI services such as shopping, organizing travel, and planning finances.
Tags: artificial intelligence, DEPIN
Founded: 2024
Team situation
Davide Crapis is the co-founder of PIN AI and a former researcher at the Ethereum Foundation. He received his undergraduate and master's degrees from Bocconi University and his doctorate from Columbia University.
Anling T. is the Marketing Director of PIN AI, previously the Growth Director at MetaWeb Ventures. She graduated from the University of California, Berkeley.
Financing Situation
On September 10, 2024, PIN AI completed a $10 million pre-seed round of financing, with participation from a16z CSX, Hack VC, Blockchain Builders Fund (Stanford Blockchain Accelerator), Illia Polosukhin (founder of NEAR Protocol), Anagram/Lily Liu (chair of the Solana Foundation), Symbolic Capital (co-founder of Polygon), Evan Cheng (CEO of Mysten Labs/SUI), dcbuilder (Worldcoin Foundation), Foresight Ventures (parent company of The Block), Nomad Capital, Tim Shi (co-founder of Cresta), Ben Fisch (CEO of Espresso), Scott Moore (co-founder of Gitcoin), Alumni Ventures, and Dispersion Capital, among others.
PIN Protocol
The PIN protocol is the pillar of the open-source ecosystem built around PIN AI. It provides minimal trust activity tracking and value exchange, access to valuable personal data, and an open innovation platform for new AI services. We need to guide the three key components of the PIN economy as follows.
Data connectors and on-chain registries: Track and verify user data sources connected to the network. Utilize state-of-the-art zero-knowledge cryptography (such as zkTLS) to verify data sources, and use machine learning techniques to update the real user data contributions in the registry at the end of each cycle.
Private storage and computing layer: Provides secure and private data storage that exceeds user device capacity. Uses permanent storage solutions and data access devices to store massive amounts of user data (including photos, videos, etc.) and ensures that the most relevant data is available for personal AI at any time.
Agent links and intent marketplace: Open the realization of user intent to AI agent applications. Build a permissionless agent registry and exchange mechanism, where the registry tracks performance metrics and the exchange mechanism specifies how personal AI queries match to agents based on cost, performance, and quality for each agent. To guide the development of this component, we will assist developers in converting current Web2 applications (such as Amazon, DoorDash, Uber, etc.) into agent services, which we call agent links.
PIN AI
In terms of AI, PIN AI introduces a sophisticated architecture designed to balance privacy, performance, and personalization through hybrid models. These models combine processing on devices with cloud-based computing, ensuring sensitive operations remain under user control while leveraging powerful cloud models to accomplish complex tasks. This hybrid approach enables AI to continuously learn from personal indexes. The personal index is a dynamic knowledge graph that organizes user data from devices and the cloud, providing contextually relevant personalized responses.
The key innovation of PIN AI lies in its focus on privacy and context management. The platform integrates BERT-based models specifically designed to detect and anonymize personally identifiable information (PII) at various stages of data processing, ensuring confidentiality and compliance with data protection regulations. Furthermore, RAG (Retrieval-Augmented Generation) and GraphRAG models enhance AI's ability to retrieve relevant information and perform complex reasoning by leveraging structured knowledge graphs, ensuring responses are both context-rich and personalized to meet user needs.
In the future, PIN AI will achieve autonomous workflows for fine-tuning. Personal AI models will continuously undergo micro-tuning, with models on devices adapting in real-time to user preferences, while cloud models will aggregate anonymous data to enhance broader capabilities. By leveraging unique personal data and user patterns, PIN AI will drive the frontier of AI personalization, providing each user with a truly personal AI that becomes increasingly intelligent and personalized over time.
Guiding the PIN economy
At the core of PIN is a bilateral market where users and their personal AIs can obtain services from external AIs. As the quantity and value of user context data opened to these services increase, so does the range of services that can be provided. Data connectors and on-chain registries are part of our Proof of Engagement (PoE) protocol, which aims to incentivize users to connect data and perform valuable transactions on the platform. The protocol has two main components:
Data connection incentives: Users can simply connect their personal data to the network to receive allocations. Privacy is ensured through user-level encryption. Resistance to Sybil attacks is achieved through a combination of cryptographically authenticated data sources (zkTLS), machine learning techniques for assessing human digital footprints, and digital identities (e.g., WorldID).
Proof of valuable transactions: When users complete provable valuable transactions through agent links, they can receive allocations from the protocol. Transactions require the transfer of economic value (in cryptocurrency or fiat currency) and must be provable on-chain (e.g., proof of fiat payments via zkTLS).
Ecosystem participants, incentive mechanisms, and economic flow
There are three main participants in the PIN ecosystem: end-users, data connectors, and agent services.
Users connect their personal data to the PIN network through data connectors, thus receiving incentives while maintaining ownership and privacy of the data. This allows the PIN network to accumulate rich user data context, which agent services can leverage to better meet user needs.
Data connectors, as part of the infrastructure of the PIN network, will initially also receive incentives. These connectors can be operated by third parties and ensure their security through staking and penalty mechanisms, with operators and stakers receiving rewards.
The protocol will support the creation of new agent services and make deployment easier through agent links. These agents will be able to utilize users' context data to better serve users' intents and provide useful services. Operators of agent services will also be secured and incentivized through crypto-economic means.
In the future, users will be willing to pay fees to access valuable agent services, while agent services will pay fees to the protocol for access to personal data and user intent, with these fees dynamically determined by market mechanisms based on supply and demand.
Summary:
PIN AI's vision is grand and requires the collaborative efforts of a vibrant community of users and developers to make it a reality. With an excellent core team and secured funding support, we are in a good position to embark on this transformative journey. As we prepare for the upcoming AI applications and the testnet for the PIN AI protocol, we are excited to invite the community to join us in shaping the future of personalized, privacy-focused AI. Together, we can realize the full potential of this groundbreaking platform, delivering a personal AI that is fully owned and empowered by users.
Track: The world's first open platform for personal AI!
Total token supply: 1 billion
Investment institution: Led by A16z
Release mechanism: Lock 1, release 12
The above-mentioned timeline: Expected December 2024 - March 2025.
Official website: pinai.io
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