Fair AI Data
Fair AI Data Website
  • The Platform
    • 🔍What is Fair AI Data
    • ⚙️How it works
  • Data Claim
    • 🏷️About the Claim Phase
  • Token
    • 🪙$FAIR Token
  • Technical
    • ⛓️Why Blockchain
    • 📈How we measure contributions
  • Future
    • 🎯Roadmap
    • 👁️Vision
  • Team
    • ℹ️About us
    • 💬Connect
  • Links
    • 🌐Fair AI Data Website
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  1. Technical

How we measure contributions

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Last updated 1 year ago

During the claim phase, we have implemented a simple model to measure contributions and calculate the expected base token rewards. Specifically:

  • For Coders: We measure the megabytes (MB) of code found in your repositories. We only accept claiming public repositories where you're the Owner or an added Contributor.

  • For Artists: We simply measure the amount of art/images found in your portfolio galleries.

During the redeem phase, we’ll remeasure contributions depending on the data tokenization technique employed and the amount of AI training data tokens produced. Also, for code specifically, you will be able to contribute more sources of data than just the repository code, including Issues, Pull Requests (PRs) and code snippets (gists).

Rewards boost program

In order to reward early supporters of our platform, we use a bonding curve to determine a “rewards boost” multiplier up to 2x, that will be applied to the tokens redeemed at platform launch. This multiplier decreases the closer we get to our data goal.

Our team may extend the target data goal depending on early adoption. In that case, all prior contributors will see their rewards boost increase (ref. Graphic below).

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