Ocean.​js: Open-Source Data Library for AI Development

Ocean Protocol has released a VS Code extension that transforms your IDE into a blockchain-enabled AI development environment. Key features: - Direct integration with Ocean's compute-to-data capabilities - Dataset tokenization and management - Real-time compute job monitoring - Metadata editing functionality The extension allows developers to build privacy-preserving AI workflows without leaving their editor. All operations from publishing datasets to executing compute jobs happen directly in VS Code. [Learn more about the extension](https://docs.oceanprotocol.com/developers/vscode)

ASI Predictoor maintains its AI-powered crypto prediction incentive program, offering rewards for accurate price direction forecasts. Key features: - AI bots predict crypto price movements (UP/DOWN) in 5m/1h intervals - Weekly rewards distributed based on prediction accuracy - Program accessible via [predictoor.ai](https://predictoor.ai) The initiative, supported by Ocean Protocol and Oasis Protocol, provides a platform for AI/ML practitioners to monetize their prediction models. Latest round details: [Blog Post](https://blog.oceanprotocol.com/df145-completes-and-df146-launches-f7afd3368239)

As AI regulation tightens globally, Ocean Protocol introduces essential tools for data provenance and compliance: - **Data NFTs** for unique dataset identification and tokenization - **Datatokens** for controlled on-chain access - **Immutable logging** of all compute jobs and data interactions - **Version tracking** for both datasets and models The system creates transparent, auditable AI pipelines that help teams meet regulatory requirements like the EU AI Act. Ocean's stack transforms black-box AI into traceable, compliant systems. Learn more at [Ocean Protocol Developer Docs](https://docs.oceanprotocol.com/developers)

Traditional computing infrastructure faces new challenges in the AI era. While CPUs excel at sequential tasks and GPUs handle parallel operations, modern AI workloads demand capabilities beyond their limits. - CPUs: Optimized for logic and operating systems - GPUs: Better for rendering and ML inference - Limitations: Cost, energy demands, hardware constraints Distributed computing offers a solution by leveraging underutilized resources from gaming GPUs to enterprise systems. This approach provides: - Improved scalability - Cost effectiveness - Energy efficiency - Decentralized architecture

Ocean Protocol introduces a command-line interface (CLI) tool for managing data assets on their network. The tool enables: - One-step publishing of data services with NFTs and datatokens - Post-publication metadata and pricing updates - Streamlined data consumption with single commands - Compute-to-Data functionality using approved algorithms Setup requires cloning the repository and configuring environment variables. The CLI complements Ocean.js, their existing library for AI and data monetization. Get started: [Ocean CLI Repository](https://github.com/oceanprotocol/ocean-cli)