While most of DeAI is busy fighting over whose model is stronger,
@oceanprotocol and
@lunor_ai are quietly solving the real bottleneck: high-quality human-labeled data for complex, high-stakes domains.
On June 9 Ocean dropped MediaLens on Lunor Quest. Read short paragraphs from war and conflict coverage and label how one entity relates to another ( Positive, Negative, Neutral or Unclear).
2500 USDC pool. Runs until June 30. No coding needed.
Lunor has already proven it can generate serious volume of quality annotations through the community.
@ONcompute gives it the missing piece: a decentralized data marketplace plus Compute-to-Data, backed by the new Ocean Network for actual decentralized GPU compute.
Together they create something rare in this space - a working loop where humans produce specialized data, it becomes monetizable on-chain, and can later be used to train better models without moving the data.
In 2026, when information warfare often matters more than tanks, a dataset that teaches AI to read media portrayals and geopolitical stances is not just another dataset. It is leverage.
Most are still chasing the model layer.
These two are building what goes underneath it.
And it is already live.