Ocean Protocol Enables Verifiable Data Provenance for AI Compliance

Ocean Network is building infrastructure to streamline pay-per-use compute jobs across a peer-to-peer network of nodes. The system eliminates the need for manual infrastructure management. **Current capabilities:** - Package jobs directly from VS Code, Cursor, Antigravity, or Windsurf - Execute in isolated containers via Ocean Nodes - Retrieve only the outputs The Ocean VS Code extension is available for testing at [Open VSX](https://open-vsx.org/extension/OceanProtocol/ocean-protocol-vscode-extension).

The Ocean Protocol Foundation has published the arbitrator's findings from an emergency arbitration case. The document addresses what Ocean describes as false allegations made by Fetch.AI and SingularityNet. **Key Points:** - Arbitration findings now [publicly available](https://drive.google.com/file/d/1xXxWK_JInsUXf2dhhz-edUuGlccPvl4A/view?usp=drivesdk) - Ocean previously sought to waive confidentiality, but this was refused by Humayun Sheikh - Ocean treasury remains secure and operational The foundation thanked the Ocean community for patience during the dispute process.

Ocean Protocol has launched Ocean Nodes, a decentralized computing infrastructure designed for AI and machine learning workloads. **Key features:** - Builders can access geographically distributed compute to train, fine-tune, and run models without centralized cloud providers - Ocean C2D (Compute-to-Data) keeps data and algorithms sealed inside containers—compute executes remotely, only outputs are returned - GPU owners can monetize idle hardware by contributing capacity to the network - Jobs run in isolated, containerized environments The infrastructure aims to create a sovereign compute layer for AI that is open and distributed, addressing the growing demand for GPU resources as AI workloads scale. [Learn more about Ocean Nodes](https://docs.oceanprotocol.com/developers/ocean-node)

Ocean Protocol has introduced a **Free Compute feature** to their VS Code extension to address image generation failures during rapid scaling. The new feature allows users to: - Start with small, fixed-seed baselines - Lock their settings for consistency - Save both configurations and outputs - Maintain stable, repeatable runs This approach helps developers **experiment and scale at their own pace** while avoiding common pitfalls that occur when scaling too quickly. Users receive **7,200 seconds of free compute time** to test the feature and get started with their projects. The extension continues Ocean's mission to provide seamless AI development tools that combine compute power, privacy, and algorithms directly within developers' preferred IDE environment.

**CivicLens annotation challenge completed** with 206 contributors analyzing European Parliament speeches for political discourse patterns. **Key achievements:** - Labeled speeches for stance, claims, tone, topic, and ideology - Partnership with @lunor_ai delivered high-quality political data - Results provide insights into political discourse analysis The challenge focused on creating datasets to help AI models detect market-moving political statements more effectively. [Read full details](https://blog.oceanprotocol.com/annotators-hub-civiclens-turning-speeches-into-signals-e27041c3972c)