Computers compete to deliver the best results for a specific real-world task.
The simplest explanation
Like a competitive marketplace where the best performance wins.
No jargon. No whitepapers. Just the facts.
Trillions of dollars of scientific knowledge sits locked in unstructured PDFs that AI cannot reliably reason over or verify; citation tools retrieve but don't structure or ground claims.
Computers compete to deliver the best results for a specific real-world task.
Open incentive mechanism that grows a canonical, evidence-grounded claim graph; agent-based extraction (dspy-react/langchain) audited on-chain for source grounding rather than centralized editorial curation.
The best way to understand a new technology is to compare it to something familiar.
Open incentive mechanism that grows a canonical, evidence-grounded claim graph; agent-based extraction (dspy-react/langchain) audited on-chain for source grounding rather than centralized editorial curation.
Claimsuses Bittensor's incentive layer to build something no single company could run alone.
Participants (called miners) on the Claims subnet compete to produce the best outputs for decentralized science tasks. Anyone with the right hardware can join.
Validators continuously evaluate miner outputs against objective benchmarks. The best performers rise, the worst are replaced. There's no human committee — the protocol decides.
Miners are paid in the Claims 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.
Because every participant is aligned toward the same goal — producing the best decentralized science results — the network improves continuously without requiring a central team to manage it.
Claims is Subnet 111 (SN111) on the Bittensor network — a decentralized AI protocol built on the TAO blockchain. Computers compete to deliver the best results for a specific real-world task.
Trillions of dollars of scientific knowledge sits locked in unstructured PDFs that AI cannot reliably reason over or verify; citation tools retrieve but don't structure or ground claims.
Open incentive mechanism that grows a canonical, evidence-grounded claim graph; agent-based extraction (dspy-react/langchain) audited on-chain for source grounding rather than centralized editorial curation.
The Claims 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.
AlphaGap tracks Claims 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.
AlphaGap tracks signals, whale flows, developer commits, and the aGap score for every Bittensor subnet — updated continuously. Find the alpha gap before everyone else.
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