Affine
Independent panels of evaluators that AI companies can't influence
Affine is a decentralized reinforcement learning environment for coding and reasoning benchmarks.
The simplest explanation
Like a continuous exam where AI models keep retraining until they score higher.
Everything you need to understand Affine
No jargon. No whitepapers. Just the facts.
The Problem
Almost all AI model evaluations are run by the companies that built the models. There's an obvious incentive to inflate scores and hide weaknesses. Single-lab evaluations can also miss blind spots that a diverse group of evaluators would catch.
What Affine Does
Affine is a decentralized reinforcement learning environment for coding and reasoning benchmarks.
The Edge
Affine coordinates multiple independent teams who evaluate AI models simultaneously without being able to compare notes or coordinate results. The outcome is an unbiased, multi-perspective assessment that's far more trustworthy than any single lab's review — like having ten independent auditors instead of one.
What's the closest mainstream equivalent?
The best way to understand a new technology is to compare it to something familiar.
Affine coordinates multiple independent teams who evaluate AI models simultaneously without being able to compare notes or coordinate results. The outcome is an unbiased, multi-perspective assessment that's far more trustworthy than any single lab's review — like having ten independent auditors instead of one.
How does Bittensor make this possible?
Affineuses Bittensor's incentive layer to build something no single company could run alone.
Miners compete
Participants (called miners) on the Affine subnet compete to produce the best outputs for ai model evaluation tasks. Anyone with the right hardware can join.
Validators score the work
Validators continuously evaluate miner outputs against objective benchmarks. The best performers rise, the worst are replaced. There's no human committee — the protocol decides.
Rewards flow to the best
Miners are paid in the Affine alpha token in proportion to how good their work is. This creates a continuous competitive pressure that drives quality up and cost down — structurally, not just as a promise.
The whole network benefits
Because every participant is aligned toward the same goal — producing the best ai model evaluation results — the network improves continuously without requiring a central team to manage it.
Frequently Asked Questions about Affine
What is Affine on Bittensor?
Affine is Subnet 120 (SN120) on the Bittensor network — a decentralized AI protocol built on the TAO blockchain. Affine is a decentralized reinforcement learning environment for coding and reasoning benchmarks.
What problem does Affine solve?
Almost all AI model evaluations are run by the companies that built the models. There's an obvious incentive to inflate scores and hide weaknesses. Single-lab evaluations can also miss blind spots that a diverse group of evaluators would catch.
How is Affine different from Consumer Reports or NIST AI benchmarks?
Affine coordinates multiple independent teams who evaluate AI models simultaneously without being able to compare notes or coordinate results. The outcome is an unbiased, multi-perspective assessment that's far more trustworthy than any single lab's review — like having ten independent auditors instead of one.
What is the Affine token?
The Affine subnet has its own alpha token on Bittensor's dTAO system. It trades in the Bittensor liquidity pool and its price reflects market demand for the subnet's services.
Is Affine a good investment?
AlphaGap tracks Affine using its aGap score — a composite of development activity, token flow, and social signals. This page is for informational purposes only and is not financial advice. Always do your own research before making any investment decisions.
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