MIP-12
Map Improvement Proposal 12: Ongoing AI Trainer Rewards
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.
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