Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days +35.83%: protocol buys 0.00%, root sells −41.63%, users net −9.11%, cross-subnet +86.57%, unattributed −0.0002%.
The chart follows the alpha price in τ. Each period starts at its opening price and steps through the mechanisms below, in a fixed order, to its closing price: a step that rises pushed the price up, one that falls pushed it down, and its height is how far it moved the price. A thin line carries each close into the next period’s open; it is dashed where the two differ. The faint candle behind each period is the market’s own open, high, low and close, for context.
With many periods on screen (90 days, or hours), the steps would be too thin to read, so the chart draws the price as a line instead and colours each period by the mechanism that moved it most. Hover a period for the full step-by-step breakdown.
Not here, because they do not move the spot price: the per-block TAO injection into the pool, and burns.
All figures are log changes, not simple percentage changes, so the parts add up exactly to the total; on big moves the two differ (a 10% log fall is a 9.5% price fall).
2026-11-04 UTC, as of ≈12:31 UTC (block 9,432,653)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Building robust robot foundation models requires evaluating whether policies can generalize from limited demonstrations to novel environments. Current benchmarking relies on centralized infrastructure, creating bottlenecks in validation speed and raising questions about consistency across testing conditions. A distributed network of validators can evaluate submissions in parallel, with transparent, seeded randomness ensuring fair comparison across diverse simulation scenarios.
Attune implements this through a decentralized validator network that runs competitive duels between submitted policies. Miners submit model weights conforming to a pinned architecture; validators execute these policies in simulation against a standardized benchmark (Vector), with seeds derived from finalized blockchain blocks to ensure reproducibility. The king-of-the-hill scoring mechanism incentivizes continuous improvement: a challenger must outperform the reigning champion by 3+ percentage points on 160 evaluation units (16 tasks × 10 runs each) to claim rewards.
Auto-generated from the GitHub repository and may not reflect the latest changes.
Attune is a Bittensor subnet for robot foundation models where miners submit policy weights (model.safetensors files) and validators score them through simulated duels. The first competition, Vector, evaluates policies on their ability to complete robotic tasks after seeing a single demonstration, with rewards distributed to the top 4 champions based on a king-of-the-hill mechanism.
The subnet comprises three main repositories: attune-subnet handles on-chain commitments, queue management, and the validator loop; vector-orchestrator provides the duel engine and result storage; RoboTwin-Vector supplies the simulation environment. Miners submit only model.safetensors weights, which validators execute against pinned architecture specs in a Python 3.12 policy environment. Simulations run in a separate Python 3.10 RoboTwin environment.
The validator maintains the competition state, queues submissions, runs duels with seeded randomness, and sets chain weights based on champion status.
Each queued submission is seeded from the finalized block when its duel starts. One submission per hotkey is enforced; later commitments from the same hotkey are refused. Missing repositories (deleted, private, or revision gone) result in the submission being dropped and the hotkey's submission slot consumed.
Missing champions (repos gone for 3 consecutive checks) lose their paid position. Duplicate weights are refused in favor of the earlier commitment.
The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository (github.com, opens in a new tab, external site)
The open frontier for adaptive robot intelligence
This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository (github.com, opens in a new tab, external site) for the latest instructions.
Not found in the repository docs.
Not yet verified: GPU, VRAM, GPU count, Network, Notes
Machine-extracted from the subnet's repository docs; may be wrong or out of date. Check the repository before buying or renting hardware. Open the repository (github.com, opens in a new tab, external site) · Extracted 19 Oct 2026
Install the miner package from PyPI
pip install robotensor-attune
Verify the submission directory contains correct model.safetensors with pinned architecture tensors
attune miner check --dir submission/
Set Hugging Face API token for repository access
export HF_TOKEN=...
Upload weights to private repo, commit on chain, then make repo public
attune miner submit --dir submission/ --repo <you>/vector-mine --network finney --netuid <N> --wallet.name miner --wallet.hotkey default
Check submission status and position in queue(optional)
attune miner status --hotkey <ss58> --network finney --netuid <N>
Clone the RoboTwin Vector simulation environment
git clone -b vector https://github.com/robotensor/RoboTwin-Vector.git
Clone the orchestrator for duel engine and result store
git clone https://github.com/robotensor/vector-orchestrator.git
Clone the subnet repository with validator logic
git clone https://github.com/robotensor/attune-subnet.git
Create Python 3.12 environment for subnet host
uv venv --python 3.12 .venvs/subnet
Install subnet, orchestrator, and vector packages in host environment
uv pip install --python .venvs/subnet/bin/python -e attune-subnet -e vector-orchestrator -e vector-orchestrator/packages/vector-protocol -e vector-orchestrator/packages/vector-runtime
Install RoboTwin simulator dependencies in Python 3.10 environment
cd RoboTwin-Vector && bash robotensor_bench/scripts/install_robotwin.sh
Configure paths to policy_python, simulator_python, simulator_root environments, and wallet credentials
Point [vector] in config/<network>.toml at the environments and wallet
Set Hugging Face API token
export HF_TOKEN=...
Start the validator to process the queue and run duels
attune validator --config config/<network>.toml run
| Day (UTC) | Share |
|---|---|
| 2026-11-03 | 0.02% |
| 2026-11-02 | 0.02% |
| 2026-11-01 | 0.03% |
| 2026-10-31 | 0.03% |
| 2026-10-30 | 0.03% |
| 2026-10-29 | 0.03% |
| 2026-10-28 | 0.03% |
| 2026-10-27 | 0.02% |
| 2026-10-26 | 0.02% |
| 2026-10-25 | 0.02% |
| 2026-10-24 | 0.02% |
| 2026-10-23 | 0.02% |
| 2026-10-22 | 0.02% |
| 2026-10-21 | 0.01% |
| 2026-10-20 | 0.0042% |
| 2026-10-19 | 0.0044% |
| 2026-10-18 | 0.0047% |
| 2026-10-17 | 0.01% |
| 2026-10-16 | 0.01% |
| 2026-10-15 | 0.01% |
| 2026-10-14 | 0.01% |
| 2026-10-13 | 0.01% |
| 2026-10-12 | 0.0009% |
| 2026-10-11 | 0.00% |
| 2026-10-10 | 0.00% |
| 2026-10-09 | 0.00% |
| 2026-10-08 | 0.00% |
| 2026-10-07 | 0.00% |
| 2026-10-06 | 0.00% |
| 2026-10-05 | 0.00% |
| 2026-10-04 | 0.00% |
| 2026-10-03 | 0.00% |
| 2026-10-02 | 0.00% |
| 2026-10-01 | 0.00% |
| 2026-09-30 | 0.00% |
| 2026-09-29 | 0.00% |
| 2026-09-28 | 0.00% |
| 2026-09-27 | 0.00% |
| 2026-09-26 | 0.00% |
| 2026-09-25 | 0.00% |
| 2026-09-24 | 0.00% |
| 2026-09-23 | 0.00% |
| 2026-09-22 | 0.00% |
| 2026-09-21 | 0.00% |
| 2026-09-20 | 0.00% |
| 2026-09-19 | 0.00% |
| 2026-09-18 | 0.09% |
| 2026-09-17 | 0.31% |
| 2026-09-16 | 0.39% |
| 2026-09-15 | 0.45% |
| 2026-09-14 | 0.52% |
| 2026-09-13 | 0.53% |
| 2026-09-12 | 0.56% |
| 2026-09-11 | 0.56% |
| 2026-09-10 | 0.52% |
| 2026-09-09 | 0.23% |
| 2026-09-08 | 0.00% |
| 2026-09-07 | 0.00% |
| 2026-09-06 | 0.00% |
| 2026-09-05 | 0.00% |
| 2026-09-04 | 0.00% |
| 2026-09-03 | 0.00% |
| 2026-09-02 | 0.00% |
| 2026-09-01 | 0.00% |
| 2026-08-31 | 0.00% |
| 2026-08-30 | 0.00% |
| 2026-08-29 | 0.00% |
| 2026-08-28 | 0.00% |
| 2026-08-27 | 0.00% |
| 2026-08-26 | 0.00% |
| 2026-08-25 | 0.00% |
| 2026-08-24 | 0.00% |
| 2026-08-23 | 0.00% |
| 2026-08-22 | 0.00% |
| 2026-08-21 | 0.00% |
| 2026-08-20 | 0.00% |
| 2026-08-19 | 0.00% |
| 2026-08-18 | 0.00% |
| 2026-08-17 | 0.00% |
| 2026-08-16 | 0.00% |
| 2026-08-15 | 0.00% |
| 2026-08-14 | 0.00% |
| 2026-08-13 | 0.00% |
| 2026-08-12 | 0.00% |
| 2026-08-11 | 0.00% |
| 2026-08-10 | 0.00% |
| 2026-08-09 | 0.00% |
| 2026-08-08 | 0.00% |
| 2026-08-07 | 0.00% |
| 2026-08-06 | 0.00% |
