Overview
Registration Activity
Neuron registration trends
Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days −87.96%: protocol buys 0.00%, root sells −6.38%, users net −40.70%, cross-subnet −40.87%, unattributed −0.0004%.
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).
2026-11-03 UTC, as of ≈22:22 UTC (block 9,428,407)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Organizations developing video-to-text translation models face a fundamental challenge: validating model quality at scale requires coordinating evaluation across multiple independent systems, managing model submissions, establishing fair scoring standards, and settling payments fairly. Traditional centralized evaluation platforms create bottlenecks and single points of failure, while independent evaluation is fragmented and lacks standardization.
A decentralized network of validators can distribute the evaluation workload, apply consistent benchmarks through cryptographic proof, and settle rewards deterministically based on model performance. Independent validators eliminate centralized control, signed cohort history ensures reproducibility, and durable journals recover from outages without losing progress or unfairly penalizing participants.
Subnet 78 implements this through a recoverable cohort architecture where miners submit trained video translation models (or run live endpoints), validators independently score each model against standardized benchmarks during intake and evaluation phases, and settlement calculates rewards deterministically from signed quality votes and service observations.
Participation requires only a registered hotkey; submission is authenticated via signed requests, and all critical transitions (intake closure, roster certification, reward activation) require finalized chain confirmation.
Auto-generated from the GitHub repository and may not reflect the latest changes.
SN78 is a Bittensor subnet focused on video-to-text translation and model evaluation. It operates a recoverable cohort runtime where miners submit trained models that process video content and produce English text outputs, while validators evaluate model quality through structured benchmarks and manage the competition lifecycle including intake, preparation, scoring, and settlement phases.
SN78 uses a recoverable cohort architecture where validators run the supervisor (via Podman) which enforces signed directives fetched from UMI's release channel. Miners submit trained models (public-model track) or run endpoints, with submissions authenticated via hotkey signing. The competition lifecycle flows through intake (model collection), preparation (roster certification), evaluation (benchmark scoring), and settlement (reward calculation).
Validators perform phased reviews with independent quorum signing; miners serve translation requests and provide sealed responses. The system uses durable journals to recover from outages and preserve state across restarts. All critical operations are authenticated with competition policy signatures and finalized chain observations.
Models are evaluated on video-to-text translation quality. Scores are published as decimal 0-1 scale. Quality determines eligibility, duplicate exclusion, band assignment and rank.
Miners below baseline may still have scores published but remain unselected for reward. C8+ adds CPU-efficiency adjustment (±15% bounded) based on model execution time. Settlement occurs in phases: intake, preparation, evaluation/scoring, and reward activation.
Validators coordinate the process using quorum-signed directives and perform independent certification.
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)
Universal motion to meaning
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 yet verified: OS, Notes
Not yet verified: 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 2 Nov 2026
Clone the UMI repository
git clone [email protected]:Umi-BitSign/umi.git && cd umi
Install or update the miner using the published upgrade manifest
curl -fsSLo /tmp/umi-miner-upgrade.py https://raw.githubusercontent.com/Umi-BitSign/umi/main/deploy/miner-upgrade/upgrade.py && sudo python3 /tmp/umi-miner-upgrade.py --public-model-track no
Install the model submission client (optional, for public-model track)(optional)
python3 -I -B /tmp/umi-model-client.XXXXXX --install-model-client
Sign participation consent for model submission(optional)
$HOME/.local/share/umi/model-client/umi-model-client --policy competition-policy.json sign-cohort-consent --cohort COHORT_SHA256 --request model-participation.json --wallet-name miner --hotkey-name hotkey --wallet-path /absolute/path/to/wallets
Submit model to open cohort(optional)
$HOME/.local/share/umi/model-client/umi-model-client --policy competition-policy.json submit-cohort-model --request model-participation.json --source /absolute/path/to/model --origin https://api.umi.vision --wallet-name miner --hotkey-name hotkey --wallet-path /absolute/path/to/wallets
Check model admission status after upload(optional)
$HOME/.local/share/umi/model-client/umi-model-client --policy competition-policy.json query-cohort-admission --request model-participation.json --origin https://api.umi.vision
Verify miner health endpoint is operational
curl http://localhost:PORT/healthz
Clone the UMI validator repository with clean checkout verification
git clone [email protected]:Umi-BitSign/umi.git umi-validator && test -z "$(git -C umi-validator status --porcelain=v1 --untracked-files=all)"
Run the validator supervisor installer with wallet and hotkey
sudo ./umi-validator/deploy/linux-validator-supervisor/install.sh --wallet-name YOUR_WALLET --hotkey-name YOUR_HOTKEY --wallet-path /ABSOLUTE/PATH/TO/WALLETS
Check validator supervisor service status
sudo systemctl status --no-pager umi-validator-supervisor.service
Check validator supervisor operational status
sudo -u umi-validator env -i CONTAINERS_CONF_OVERRIDE=/opt/umi-validator-supervisor/deploy/linux-validator-supervisor/containers.conf HOME=/var/lib/umi-validator-supervisor/home XDG_CONFIG_HOME=/var/lib/umi-validator-supervisor/container-config XDG_DATA_HOME=/var/lib/umi-validator-supervisor/container-data XDG_RUNTIME_DIR=/run/umi-validator-supervisor PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin /opt/umi-validator-supervisor/.venv/bin/umi-validator-supervisor status --config /etc/umi/validator-supervisor.json
Review validator supervisor logs for diagnostics(optional)
sudo journalctl -u umi-validator-supervisor.service --since=-10m --no-pager
| Day (UTC) | Share |
|---|---|
| 2026-11-02 | 0.0036% |
| 2026-11-01 | 0.0035% |
| 2026-10-31 | 0.0041% |
| 2026-10-30 | 0.01% |
| 2026-10-29 | 0.01% |
| 2026-10-28 | 0.01% |
| 2026-10-27 | 0.0042% |
| 2026-10-26 | 0.0027% |
| 2026-10-25 | 0.0024% |
| 2026-10-24 | 0.0028% |
| 2026-10-23 | 0.0044% |
| 2026-10-22 | 0.01% |
| 2026-10-21 | 0.01% |
| 2026-10-20 | 0.01% |
| 2026-10-19 | 0.02% |
| 2026-10-18 | 0.01% |
| 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 | 0.01% |
| 2026-10-11 | 0.01% |
| 2026-10-10 | 0.01% |
| 2026-10-09 | 0.01% |
| 2026-10-08 | 0.01% |
| 2026-10-07 | 0.01% |
| 2026-10-06 | 0.02% |
| 2026-10-05 | 0.03% |
| 2026-10-04 | 0.03% |
| 2026-10-03 | 0.03% |
| 2026-10-02 | 0.02% |
| 2026-10-01 | 0.01% |
| 2026-09-30 | 0.01% |
| 2026-09-29 | 0.01% |
| 2026-09-28 | 0.01% |
| 2026-09-27 | 0.01% |
| 2026-09-26 | 0.02% |
| 2026-09-25 | 0.02% |
| 2026-09-24 | 0.03% |
| 2026-09-23 | 0.04% |
| 2026-09-22 | 0.05% |
| 2026-09-21 | 0.03% |
| 2026-09-20 | 0.02% |
| 2026-09-19 | 0.02% |
| 2026-09-18 | 0.02% |
| 2026-09-17 | 0.04% |
| 2026-09-16 | 0.06% |
| 2026-09-15 | 0.09% |
| 2026-09-14 | 0.11% |
| 2026-09-13 | 0.11% |
| 2026-09-12 | 0.11% |
| 2026-09-11 | 0.02% |
| 2026-09-10 | 0.10% |
| 2026-09-09 | 0.0036% |
| 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 | 0.08% |
| 2026-09-01 | 0.13% |
| 2026-08-31 | 0.13% |
| 2026-08-30 | 0.12% |
| 2026-08-29 | 0.15% |
| 2026-08-28 | 0.15% |
| 2026-08-27 | 0.13% |
| 2026-08-26 | 0.18% |
| 2026-08-25 | 0.20% |
| 2026-08-24 | 0.19% |
| 2026-08-23 | 0.12% |
| 2026-08-22 | 0.06% |
| 2026-08-21 | 0.01% |
| 2026-08-20 | 0.0014% |
| 2026-08-19 | 0.01% |
| 2026-08-18 | 0.01% |
| 2026-08-17 | 0.01% |
| 2026-08-16 | 0.01% |
| 2026-08-15 | 0.01% |
| 2026-08-14 | 0.01% |
| 2026-08-13 | 0.01% |
| 2026-08-12 | 0.01% |
| 2026-08-11 | 0.02% |
| 2026-08-10 | 0.02% |
| 2026-08-09 | 0.02% |
| 2026-08-08 | 0.02% |
| 2026-08-07 | 0.02% |
| 2026-08-06 | 0.02% |
| 2026-08-05 | 0.04% |