How can the ORA network be used?
Verifiable AI Computations: Use ORA's AI Oracle to obtain AI inference results that are verified onchain, eliminating the need to trust external APIs.
Enhanced Decision Making: Implement AI-driven logic in smart contracts for applications like automated trading strategies, dynamic NFTs, or adaptive DeFi protocols.
Verifiable AI Art and Media: Create and tokenize AI-generated art, music, or writing with guaranteed provenance using models like Stable Diffusion.
ERC7007 Tokens: Mint verifiable AI-generated content as NFTs, providing transparency and trust in the origin of digital collectibles.
Interactive Experiences: Develop games and virtual environments where AI generates dynamic content, enhancing user engagement with verifiable AI elements.
Initial Model Offerings (IMOs): Tokenize AI models using the ERC7641 standard to fund open-source AI development sustainably.
Community Ownership: Align incentives between developers and stakeholders by allowing token holders to share in the revenue generated by AI models.
Accelerated Innovation: Encourage continuous contributions to open-source AI projects by providing a financial ecosystem that rewards development.
Automated Governance: Utilize AI models to analyze proposals and assist in decision-making processes within DAOs.
Risk Management: Implement AI for real-time risk assessment in lending platforms or asset management protocols.
Optimized Yield Strategies: Use AI to enhance yield farming and liquidity provision, maximizing returns for DeFi users.
Prediction Markets: Employ AI for accurate forecasting and automated settlement, improving efficiency and trust in prediction markets.
Underwriting and Credit Scoring: Use verifiable AI models to assess borrower credibility, enabling undercollateralized lending solutions.
Onchain Insurance: Develop insurance products with AI-driven claim verification and risk assessment, streamlining the insurance process.
AI-Powered Wallets: Integrate AI for improved security features like fraud detection and intent recognition in crypto wallets.
Personalized Interactions: Offer users tailored experiences in decentralized applications through AI-driven personalization and recommendations.
Language and Accessibility Tools: Utilize AI for translation and accessibility, making blockchain technologies more inclusive globally.
Agentic Architectures: Create verifiable AI agents that can own assets, execute transactions, and interact autonomously with blockchain applications.
Verification Services for AI Agents: Ensure that AI agents operate correctly and securely through ORA's verification mechanisms.
New Economic Models: Explore innovative models where AI agents participate in economies, such as automated trading bots or virtual assistants.