Coldint: Maximizing Collective AI Training Efforts

Our mission is to maximize the collective training efforts of the Bittensor community by incentivizing the sharing of models, knowledge, insights, and code.

Main Goals

Train and share state-of-the-art models and code to contribute to real-world applications.
Incentivize both individual and collective effort.
Maintain a consistent, high pace of high quality iterations.
Uphold transparency and fairness among all stakeholders.

Detailed Objectives

1. Train and Share State-of-the-Art Models and Code

A major goal of Coldint is to contribute something to the world. Miners are primarily incentivized for their contribution in the form of trained models that are publicly shared. A secondary incentive is given to miners or other contributors for sharing insights by contributing to the canonical miner codebase. This may range from pointing out bugs, to adding small features and optimizations, and to rewriting large parts of code.

2. Incentivize Both Individual and Collective Effort

By rewarding small improvements, individual miners are incentivized to regularly share their improved work. This in turn enables other miners to build upon earlier contributions, accelerating the collective effort. Code contributions that enable combining individual training efforts into an even better combined model will be highly rewarded, as this will truly unlock the collective potential.

3. Maintain a Consistent Pace of High Quality Iterations

Within Coldint, iterations are done in three main areas:

Models are improved continuously by miners
Training objectives are scheduled to change periodically, at a steady pace
Validator and miner codebases are continuously refined

All stakeholders can participate in improving each of these areas. This leads to a dynamic community which promotes the exchange of ideas, insights and knowledge.

4. Uphold Transparency and Fairness

Coldint strives to be transparent by publicizing miner code, training objective schedules, awarded bounties and research results. Coldint invites community members to suggest innovative training goals. Mitigating steps are taken to prevent well known "metagaming" tactics from earning any reward. If new gaming opportunities arise that would lead to misalignment between miner and subnet objective, bug bounties should ensure that reporting bugs is as lucrative as exploiting them. Bug bounties are rewards for code contributions, and will be publicized to elicit additional bug reports and fixes.

AI ASSeSS

AI ASSeSS