Ocean

The **LiteracyForge Data Annotation Challenge** has officially concluded and entered the review phase. **Key Updates:** - Challenge wrapped up after multiple deadline extensions - Results currently under review by organizers - Winners and prize distribution details pending **What's Next:** - Participants can join the new **"SignalBoost"** challenge - Available now at [Lunor platform](https://app.lunor.ai/challenge/1000037) **Background:** The challenge focused on building quality datasets for adaptive education AI systems, with a **$10,000 USD prize pool**. Participants evaluated short passages to help train smarter AI systems. Stay tuned for official results announcement.

**Ocean Protocol** and **Oasis Protocol** are hosting a DePIN & DeFAI meetup in Seoul on September 24th at Hotel Cappuccino from 3:00-8:00 PM (GMT+9). **Event highlights include:** - Keynote on decentralized AI and user self-sovereignty - Product insights from Ocean's team - Live demo of Ocean Nodes - Fireside chat: "WTF is AI taking DeFAI?" The rooftop event features speakers from both protocols discussing the intersection of decentralized physical infrastructure and decentralized AI. **Limited seats available** - [Register here](https://luma.com/depin-defai-rooftop?tk=WobWwA)

**Ocean Protocol has officially released its VS Code Extension** on the Visual Studio Code marketplace, making decentralized compute accessible directly from developers' coding environment. **Key features include:** - Run compute jobs and train AI models without leaving your IDE - Direct access to Ocean Nodes for decentralized computing - Built-in real-time monitoring for distributed AI workflows - Privacy-preserving Compute-to-Data job deployment The extension eliminates the need for separate dashboards, integrating **compute and data access directly into developers' workflows**. This streamlines the process of building federated learning systems and distributed AI applications. Developers can now tap into Ocean's decentralized infrastructure without switching between multiple tools or interfaces. The extension supports safe deployment of privacy-preserving AI models while maintaining the familiar VS Code development experience. [Try the Ocean VS Code Extension](https://docs.oceanprotocol.com/developers/vscode)

Ocean Protocol introduces Data NFTs, enabling researchers to tokenize and manage scientific intellectual property on-chain. Key features: - Mint sequences, models & datasets as verifiable assets - License genes for research with datatokens - Offer API access to models - Split royalties via smart contracts - Track versions & access logs The system provides automated IP management through smart contracts, replacing traditional legal processes. All assets are timestamped, auditable, and wallet-linked for seamless compliance and publication tracking. Learn more at [Ocean Protocol Docs](https://docs.oceanprotocol.com/developers/contracts/data-nfts)

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)

Ocean Protocol offers a comprehensive tech stack for AI developers with three key components: - **Data NFTs**: Tools to tokenize and share datasets securely - **Compute-to-Data (C2D)**: Privacy-preserving compute infrastructure - **Ocean Nodes**: Distributed AI infrastructure for fast processing The stack enables developers to build, train, and scale AI applications while maintaining data privacy and security. Each component works together seamlessly, allowing for secure data monetization and efficient model training. [Learn more about the Ocean tech stack](https://oceanprotocol.com/build/developer-hub/)

Ocean Protocol is positioning itself as an alternative to Big Tech's AI dominance by providing tools for open-source development. - Platform enables builders to create AI dapps with focus on: - Private data handling - Compute infrastructure - Algorithm development - User data control The developer hub offers a comprehensive framework for creating decentralized AI applications while maintaining data privacy standards. [Start building on Ocean Protocol](https://oceanprotocol.com/build/developer-hub/)

Ocean Protocol has released a VS Code extension that streamlines privacy-preserving compute operations. Key features: - Execute algorithms on protected datasets - Unified setup, compute, and result handling - Integrated developer environment The extension supports both Python and JavaScript, allowing developers to write, test, and run AI algorithms directly in VS Code. This integration simplifies the workflow for privacy-preserving Compute-to-Data operations. [Get started with the documentation](https://docs.oceanprotocol.com/developers/vscode)