Albedo
Competitive distillation of frontier LLMs into cheap models
distil compresses large models into small ones — miners shrink Qwen3-35B to sub-5.25B student models.
The simplest explanation
Like a weight-loss competition for AI: make it smaller without making it dumber, or don't get paid.
Everything you need to understand Albedo
No jargon. No whitepapers. Just the facts.
The Problem
Running frontier LLMs is expensive, and distilling them into small efficient models is a specialized, mostly closed process controlled by the labs that own the teacher models. There is no open, continuously competitive venue for producing best-in-class distilled models.
What Albedo Does
distil compresses large models into small ones — miners shrink Qwen3-35B to sub-5.25B student models.
The Edge
Albedo uses a king-of-the-hill incentive where miners must beat the reigning champion on distillation benchmarks to take over emissions, driving a continuously improving open distilled model. It is the SN97 successor to the earlier 'Distil' subnet, extended from competitive distillation to trajectory distillation.
What's the closest mainstream equivalent?
The best way to understand a new technology is to compare it to something familiar.
Albedo uses a king-of-the-hill incentive where miners must beat the reigning champion on distillation benchmarks to take over emissions, driving a continuously improving open distilled model. It is the SN97 successor to the earlier 'Distil' subnet, extended from competitive distillation to trajectory distillation.
How does Bittensor make this possible?
Albedouses Bittensor's incentive layer to build something no single company could run alone.
Miners compete
Participants (called miners) on the Albedo subnet compete to produce the best outputs for ai inference 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 Albedo 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 inference results — the network improves continuously without requiring a central team to manage it.
Frequently Asked Questions about Albedo
What is Albedo on Bittensor?
Albedo is Subnet 97 (SN97) on the Bittensor network — a decentralized AI protocol built on the TAO blockchain. distil compresses large models into small ones — miners shrink Qwen3-35B to sub-5.25B student models.
What problem does Albedo solve?
Running frontier LLMs is expensive, and distilling them into small efficient models is a specialized, mostly closed process controlled by the labs that own the teacher models. There is no open, continuously competitive venue for producing best-in-class distilled models.
How is Albedo different from Frontier LLM providers (OpenAI, Anthropic) and centralized model-distillation pipelines?
Albedo uses a king-of-the-hill incentive where miners must beat the reigning champion on distillation benchmarks to take over emissions, driving a continuously improving open distilled model. It is the SN97 successor to the earlier 'Distil' subnet, extended from competitive distillation to trajectory distillation.
What is the Albedo token?
The Albedo 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 Albedo a good investment?
AlphaGap tracks Albedo 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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