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You deserve crypto rewards this good!
Get rewarded by ASI Predictoor when your AI bot submits accurate crypto price predictions...
That predict if crypto will be UP or DOWN each 5m / 1h and make $.
Read on, anon:
https://blog.oceanprotocol.com/df145-completes-and-df146-launches-f7afd3368239

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Why send data to the cloud when the cloud can come to your AI? DePAI unlocks real-world data from decentralized sensors, robots, and physical AI Ocean Compute brings the missing piece: private, secure, and on-site compute With Ocean Compute-to-Data, DePAI nodes can: 1. Run AI models locally on sensitive sensor data without exposing it 2. Earn rewards for providing decentralised power to global AI developers 3. Enable federated learning across AI without sharing raw data Train smarter, stay private

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Did you know? In just 5 simple steps, you can tokenise and monetise your data using Ocean CLI: 1. Prepare your files – Create a small metadata file (title, description, author) – Organise your dataset (CSV, images, etc.) 2. Install & log in – Install via npm install -g oceanprotocol/cli – Log in with ocean account login 3. Publish your dataset – Run ocean publish with your metadata and data files 4. Mint your Data NFT and datatoken – Ocean CLI automatically generates both assets for access control and monetisation 5. Share or sell access – Distribute datatokens to give users permission to download or compute on your dataset Your data is now on-chain, verifiable, and under your control Explore more:

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DePIN is booming. But how do these networks monetise and compute on real-world data? Ocean Nodes bring the missing piece, a decentralised, privacy-first compute layer for AI and analytics Here’s how it works: 1. Raw data stays local (e.g., EV logs, smart meters) 2. Compute jobs run on-site, no data ever exposed 3. Low-latency inference at the edge 4. Providers earn per job, users pay only for what they use Compute-to-Data in action Decentralized. Secure. Scalable

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Inference allows a trained AI model to apply its knowledge to new, unseen data, transforming raw inputs into meaningful predictions or decisions However, centralised inference is challenging due to strict privacy regulations, concerns about exposing data, and the high costs & delays associated with cloud computing The Ocean C2D framework elegantly bridges this gap by enabling secure, privacy-preserving AI inference. Instead of moving data to the model, Ocean C2D packages the model in an isolated environment and sends it directly to the encrypted data location. Trusted execution nodes process the data on-site, ensuring that neither raw data nor model weights are ever exposed Smart contracts and datatokens automate permissions and payments to reward node operators & data owners, enabling decentralised inference across borders Learn more:

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Verifiable Data Provenance with Ocean Protocol In an era of increasing AI regulation (e.g. the EU AI Act), data provenance is no longer optional, it’s essential. Teams must not only know what data powers their models but also prove it Ocean Protocol makes this possible with a transparent, auditable stack built for decentralised AI -Data NFTs let you uniquely identify and tokenise datasets -Datatokens enable controlled, on-chain access -Every compute job and data interaction is logged immutably, creating a full audit trail -Datasets and models are versioned, so you can trace: 1. How data evolved over time 2. Which model was trained on which version With Ocean, you go from black-box AI to traceable, compliant, and trustworthy pipelines Explore how to build transparent AI systems:

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