FILECOIN AI BLUEPRINTS

HACK THE DATA LAYER FOR AI

Build decentralised AI data infrastructure with Filecoin—tackle provenance, attribution & efficiency. Join this 4-week hackathon, attend workshops and win prizes!

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Launching on 17th March

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We challenge you to build the future of AI!

Work in a team, tackle challenges, level up your skills and compete for bounties!

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Official hackathon launch in:

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Filecoin is a peer-to-peer network that enables reliable, decentralised file storage through built-in economic incentives and cryptographic proofs. Users pay storage providers (computers) that store and continuously prove file integrity, to store their files over time securely.

Hackathon Schedule

Mon, Mar 17th5:30 pm GMT Launch Event
Whole week Hackathon Workshops TBA!
Whole week Start building!
Whole week Building!
Whole Week Build, build, build!
Final Week Final push!
Sun, Apr 13th23:59 in your time zone Submission deadline!
Mid AprilTime TBA! Pitch practices for finalists!
Late April5:30 pm GMT Finale and Prizegiving

Bounties

  • Prizes:
    1st place: 1 winner (8k USD bounty + 7k builder grant for 3 months of continuation)
    2nd place: 2 winners (4k USD bounty + 3k USD builder grant for 1 month of continuation)
    3rd place: 3 winners for 3k USD each

    Key challenges to tackle:

    Data Provenance: In an era of AI-generated content, verifying data origins is crucial. Filecoin's immutable storage enables transparent data lineage tracking and verification of untampered LLM models.

    Data Sourcing: As high-quality user data becomes scarce, we need ethical collection solutions. Filecoin enables data marketplaces and DAOs that respect privacy, while incentivizing authentic contributions.

    Fair Attribution: AI's growth demands equitable compensation for data creators. Filecoin enables transparent value tracking and distribution through Data DAOs.

    Efficient AI: Generative AI’s growing demands for data and computing power raise serious environmental concerns. Filecoin's decentralized storage can enable efficient model training and deployment.

    We're especially interested in projects that consider:

    Modular Architecture

    Interchain Interoperability

    Agentic Economy

    Challenge Statements

    Data Management & Privacy

    DataDAOs: Build a DataDAO platform for AI data commons to encourage federated learning

    Data accuracy: A platform that generates and validates synthetic data while incorporating authentic data benchmarks to maximize model accuracy and reliability

    Privacy-Preserving AI: Tools that prioritize privacy of sensitive data, including examples such as training LLMs on datasets with differential privacy, homomorphic encrypted computation, ZK proofs for model outputs and more.

    Decentralized Computation

    Decentralized AI Infrastructure: Platform for decentralized AI computation with Filecoin data storage

    Decentralized AI Development SDK: Comprehensive SDK for integrating AI with Filecoin data storage

    Efficiency

    Incentivizing efficient AI:
    ◦ Tokenized incentive system for optimized AI training and deployment on Filecoin
    ◦ Platform for launching AI data collection campaigns with verification mechanisms on Filecoin

    Interoperability:
    ◦ “Universal data connector” that enables seamless access to and integration of decentralized data on Filecoin and off-chain APIs. This connector should provide a standardized interface for querying, transforming, and preparing data for AI model training and inference.
    ◦ Develop a comprehensive, interoperable toolkit for building and deploying AI models in Web3, with decentralized data storage infrastructure on Filecoin.

    Verifiability

    Verifiable & Reproducible AI:
    ◦ Tools for ensuring verifiability and reproducibility of AI model training
    ◦ System for recording the complete provenance of an AI model, from data collection and preprocessing to model training and deployment, using decentralized storage.

    Decentralized Model Repositories: Build a decentralized repository for storing and sharing AI models, with a built-in audit trail that tracks all changes and updates.

    Real World Applications

    DeSci (Decentralized Science): AI for drug discovery, materials science, climate modeling, etc. These often involve large datasets and the need for collaboration.

    DeFi: AI-powered risk assessment, fraud detection, algorithmic trading, personalized financial advice.

    Metaverse/Gaming: AI agents, personalized avatars, dynamic content creation, in-game economies.

    Creator Economy: AI tools for content generation, copyright protection, personalized recommendations.

    Supply Chain: AI for tracking goods, optimizing logistics, ensuring transparency and ethical sourcing.

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