🚨 MediaLens on @lunor_ai Quest in the @oceanprotocol ecosystem! News about conflicts shapes our perception of the world. How objectively do the media portray the roles of international actors? On MediaLens, read short excerpts from English-language articles and determine the source’s stance toward the subject: Positive / Negative / Neutral / Unclear Your labels help create high-quality datasets for decentralized AI! 🗓️ June 9–30, 2026 💰 2,500 USDC Join us: app.lunor.ai/quest/1000041 #MediaLens #LunorQuest #OceanProtocol #Web3 #DecentralizedAI

I hope I have enough time 😅 But overall, it's a really cool challenge 👌🏽☺️

Are you going to take a part in this challenge?

That is precisely why this quest is not just entertainment, but a real contribution to the future of decentralized AI 👌🏽😄

Interesting how improving AI sometimes starts with improving how humans label and interpret information.

Thanks for sharing this 😁

finally seeing real utility in deai

data is the new gold

access to reliable gpu clusters

Models get the attention, but high quality data is where the real moat is built.

AI needs compute. AI needs models. AI needs agents. but none of it works without storage. and Web3 storage is the one sector quietly building the backbone for all of it. here’s what we’ve been watching closely 👇 @Filecoin: onchain cloud targeting AI and enterprise. the most established name in the space. @ArweaveEco: permanent storage with a one time fee. best for AI archives and provenance. @WalrusProtocol: portable memory layer for AI agents. carry context across every app. @getoro_xyz: private data layer for AI. bridges user owned data directly into frontier AI training. @oceanprotocol: decentralised data marketplace. buy, sell and monetise data while keeping ownership. @akashnet: decentralised compute meeting decentralised storage. AI workloads routing on chain. storage rarely makes headlines. but every AI model running right now needs a place to put its data. the protocols solving that quietly are the ones worth paying attention to. which one are you watching? 🔖

Every conflict has a narrative. Who's the ally, who's the threat, and who's staying quiet. @lunor_ai's new MediaLens quest wants to map exactly that, and you don't need to write a single line of code to help. Read short news paragraphs. Label how one international actor is portrayed toward another: positive, negative, neutral, or unclear. That's the whole task. 📅 June 9 – June 30 💰 2,500 USDC reward pool Get started here → app.lunor.ai/quest/1000041 @oceanprotocol

That's leverage not just another dataset fr

so u telling me the real bottleneck is ppl reading and tagging reality not the models

most people underestimate how important data pipelines are

Bullish on Ocean Protocol × Lunor. Better models start with better data, and that's the layer most people overlook.

A strong reminder that AI’s real moat isn’t just models, it’s high quality data.

Simple ideas executed well always stand out.

Data layer always wins in the end