Sinbox.fun, Content Platform

AI Grant Application
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Objective

Sinbox.fun is developing a TikTok-style content platform that leverages AI for curating viral clips while integrating blockchain technology. We’re building community-owned datasets and AI models with a focus on video classification and content curation through fine-tuning visual language models (VLMs). Our platform incorporates smart contracts to incentivize content tagging and data labeling, creating a sustainable ecosystem for high-quality, community-labeled training data.

Methodology

  1. Dual Model Fine-tuning Pipeline:

    • Fine-tune the Florence-2 VLM for semantic understanding and content categorization
    • Adapt the D-fine object detection model for precise video element identification and tagging
    • Combine both models for enhanced content understanding and recommendation

  2. Data Collection & Curation: Implement smart contracts on ORA to reward users for data labeling, creating verifiable AI-ready datasets

  3. IPFS Integration: Store community-generated training data on IPFS with metadata verification via the ORA network

  4. Verifiable AI Inference: Implement ORA’s AI Oracle to provide transparent, verifiable content recommendations and classifications

  5. ERC7007 Integration: Allow creators to mint their most popular content as verifiable AI-curated NFTs

Timeline

  1. Month 1-2: Establish baseline Florence-2 VLM and D-fine object detection fine-tuning pipelines
  2. Month 3-4: Develop smart contracts for community data labeling and implement IPFS storage solutions
  3. Month 5-6: Complete model fine-tuning with ORA verification and deploy beta version of the platform

Resources Needed

We are requesting $50,000 to:

  1. Compute Resources: $25,000 for GPU resources needed for VLM and object detection model fine-tuning
  2. Development Costs: $15,000 for smart contract development and ORA network integration
  3. Data Acquisition: $10,000 for initial data labeling incentives and community building

ORA Network Integration & Value Proposition

Our project directly enhances the ORA ecosystem by:

  1. Driving ORA Token Utility: Our platform will require ORA tokens for verifiable AI computations and model inference, creating sustained demand

  2. Implementing ERC7641 Standard: We’ll tokenize our fine-tuned Florence-2 VLM and D-fine models using ORA’s Initial Model Offering framework, expanding their model marketplace

  3. Building Verifiable Datasets: Creating community-labeled, verifiable AI training data that other ORA ecosystem projects can leverage

  4. Demonstrating Real-World Use Cases: Showcasing how ORA’s verifiable AI oracles can power content recommendation in a consumer application

  5. Creating New Economic Models: Our data labeling smart contracts demonstrate how AI agents can participate in tokenized economies

By funding Sinbox.fun, ORA will gain a showcase project demonstrating how verifiable AI can be applied to content curation while building valuable datasets and models that strengthen the broader ORA ecosystem. Our platform will serve as a reference implementation for trustless AI oracles in consumer applications, driving adoption of ORA’s core technologies.

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https://x.com/Sinboxfun/status/1895217818964234387?t=M55nk7SzBEFfRpr2fJNJbg&s=19