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MIP-12

Map Improvement Proposal 12: Ongoing AI Trainer Rewards

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Last updated 2 days ago

Summary

MIP-12 created an ongoing source of rewards for AI Trainers, increasing the share of minted rewards allocated to Map Editing & QA from 3% to 10%. It also implemented a new formula for distributing rewards among AI Trainers that mirrored the prior bounty program.

Timeline

Detailed Changes

MIP-12 increased the share of weekly minted rewards allocated to Map Editing & QA from 3% to 10%. Under the new methodology, the rewards pool would be divided among AI Trainer contributors based on a “contributor score,” which would be calculated using the following three factors:

  • How many AI Trainer tasks they completed

  • Which types of AI Trainer tasks they completed

  • How well they completed tasks, as measured by their reputation

Every type of AI Trainer task would be assigned a point value based on its time requirements and complexity. These point values would be updated over time.

Proposal: Published
Comment Period: Complete
Outcome: Finalized