The open technical foundation for a shared model, contributed compute, and verified learning.
Execute model shards across contributed machines. Added hardware can provide memory, serving capacity, and redundancy.
Admit useful learning only after measured improvement and preservation of earlier answers. Inspect successful cohorts and failed experiments.
Use native consensus for work commitments, verification, rewards, quality promotion, and paid inference.
| You want to… | Begin with |
|---|---|
| Understand what exists today | Current capabilities and limits and the fixed checklist |
| Explore the vision for your team or hardware | Product direction |
| Reproduce the retired growing-model alpha | Historical source-pinned guide |
| Inspect learning and serving results | Continual admission and operated alpha |
| Run the earlier 0.4.0 CPU baseline | Baseline guide and model card |
| Build on the protocol | Architecture, all guides, and contributing |
The growing-model alpha and the earlier 0.4.0 baseline are separate networks. The GPU alpha closed early on September 20, 2026. Its source, model artifacts and evidence remain available; the separate ledger stays scheduled through September 26 for expiry and refunds. The serving window ran no new training. Read start here before choosing a client or sending requests.
The published demonstrations use infrastructure controlled by one operator. Independent permissionless operation and broad assistant quality remain open work. Public prompts and responses are ledger data; trial balances have no redemption promise.
These pages are generated from the public protocol repository. The source manifest records the exact revision and source hash for every generated guide. Historical research is labeled separately.
