
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 −25.55%: protocol buys +1.99%, root sells −0.77%, users net −27.82%, cross-subnet +1.05%, 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).
2026-11-10 UTC, as of ≈01:54 UTC (block 9,472,662)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Organizations evaluating 3D model generation solutions face opacity in model selection: vendors claim quality without transparent comparison, independent verification is costly and manual, and centralized benchmarking creates single points of failure. A decentralized competition model distributes judging across independent validators who run reproducible pairwise comparisons using vision-language models, eliminating intermediaries and making every decision auditable.
Bittensor Subnet 17 implements this through a staged competition system where miners submit open-source Python solutions, validators independently replay submitted code against recorded requests to verify outputs, and vision-language models judge multi-view renderings in side-by-side tournaments. All submissions, validation results, leader transitions, and source audits are recorded in a public git repository, making the entire ranking history traceable and reproducible.
The system uses a winner-stays-in format with weight decay: successful defenders retain leadership but with reduced weight, while new winners start fresh.
Validators collect Three.js outputs, render them to multi-view PNGs via headless Chromium, and feed those renderings to the VLM judge. Independent source auditors verify code eligibility. Both validation replay and source audit must pass for a candidate to advance.
Auto-generated from the GitHub repository and may not reflect the latest changes.
A decentralized 3D content generation competition running on Bittensor Subnet 17 where miners submit open-source solutions for AI-powered 3D model generation. Validators run transparent competitions using vision-language models to judge pairwise comparisons of miner outputs, with a winner-stays-in format and proof-of-work model where submissions are verified through independent source audits and validation replay.
The system consists of multiple interconnected services managing a staged competition pipeline. The submission-collector owns OPEN/MINER_GENERATION/COLLECTING stages, gathering miner source code and generated Three.js outputs from all participants. The render-service-js converts Three.js submissions to multi-view PNG images via headless Chromium.
The judge-service manages the DUELS stage, running VLM-based pairwise comparisons and requesting verification for winners. Validators replay submitted source code against recorded witness evidence to verify outputs. The round-manager owns the FINALIZING stage, updating the leader and creating new rounds.
All competition state (submissions, results, validation verdicts, leader history) is stored in a public git repository with R2 cloud storage for artifacts, ensuring complete auditability and traceability of every decision.
The competition follows a structured pipeline: miners submit source code and run it against published prompts to generate 3D models. Validators collect submissions and render them to canonical PNG bundles. A vision-language model performs pairwise duel comparisons between miner outputs.
Winner candidates undergo verification replay (validator reproduces the output with recorded evidence) and independent source audit. Both checks must pass for eligibility. The leader is updated in leader.json with weight decay for defending incumbents, incentivizing fresh innovation.
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)
a decentralized 3D content generation competition
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.
Hardware requirements: see the subnet's repository (github.com, opens in a new tab, external site)
Install and configure miner following the provided quickstart guide for authentication, generation, and final submission
Follow the launch quickstart in miner-reference/README.md
Install dependencies using Poetry in the miner directory
poetry install
Prepare and submit your 3D generation solution source code
Submit open-source Python source before prompts are published
Execute your solution against the competition prompts
Run Python source on published prompts through the witness using OpenAI credentials
Submit the generated 3D model files to the competition
Upload existing Three.js outputs
Install dependencies using Poetry in the validator service directory
poetry install
Run linting checks on the code(optional)
poetry poe lint
Configure the headless Chromium rendering service with WebGL support for multi-view PNG generation
Set up render-service-js for Three.js rendering
Set up external vLLM instance for pairwise comparison judgments
Configure vLLM instance hosting vision-language model
Configure access to the competition git repository for reading and writing state files
Set up git repository access for state management
Set up Cloudflare R2 credentials for miner submissions and rendered PNG storage
Configure R2 (Cloudflare) access for artifact storage
| Day (UTC) | Share |
|---|---|
| 2026-11-09 | 0.29% |
| 2026-11-08 | 0.28% |
| 2026-11-07 | 0.28% |
| 2026-11-06 | 0.30% |
| 2026-11-05 | 0.30% |
| 2026-11-04 | 0.31% |
| 2026-11-03 | 0.35% |
| 2026-11-02 | 0.38% |
| 2026-11-01 | 0.40% |
| 2026-10-31 | 0.39% |
| 2026-10-30 | 0.36% |
| 2026-10-29 | 0.35% |
| 2026-10-28 | 0.36% |
| 2026-10-27 | 0.37% |
| 2026-10-26 | 0.40% |
| 2026-10-25 | 0.40% |
| 2026-10-24 | 0.39% |
| 2026-10-23 | 0.45% |
| 2026-10-22 | 0.45% |
| 2026-10-21 | 0.43% |
| 2026-10-20 | 0.43% |
| 2026-10-19 | 0.44% |
| 2026-10-18 | 0.45% |
| 2026-10-17 | 0.46% |
| 2026-10-16 | 0.50% |
| 2026-10-15 | 0.56% |
| 2026-10-14 | 0.59% |
| 2026-10-13 | 0.57% |
| 2026-10-12 | 0.57% |
| 2026-10-11 | 0.58% |
| 2026-10-10 | 0.58% |
| 2026-10-09 | 0.58% |
| 2026-10-08 | 0.58% |
| 2026-10-07 | 0.59% |
| 2026-10-06 | 0.63% |
| 2026-10-05 | 0.62% |
| 2026-10-04 | 0.59% |
| 2026-10-03 | 0.62% |
| 2026-10-02 | 0.65% |
| 2026-10-01 | 0.64% |
| 2026-09-30 | 0.74% |
| 2026-09-29 | 0.69% |
| 2026-09-28 | 0.64% |
| 2026-09-27 | 0.63% |
| 2026-09-26 | 0.74% |
| 2026-09-25 | 0.67% |
| 2026-09-24 | 0.63% |
| 2026-09-23 | 0.64% |
| 2026-09-22 | 0.68% |
| 2026-09-21 | 0.70% |
| 2026-09-20 | 0.73% |
| 2026-09-19 | 0.69% |
| 2026-09-18 | 0.68% |
| 2026-09-17 | 0.71% |
| 2026-09-16 | 0.81% |
| 2026-09-15 | 0.84% |
| 2026-09-14 | 0.90% |
| 2026-09-13 | 0.93% |
| 2026-09-12 | 0.93% |
| 2026-09-11 | 0.90% |
| 2026-09-10 | 0.87% |
| 2026-09-09 | 0.95% |
| 2026-09-08 | 0.97% |
| 2026-09-07 | 0.90% |
| 2026-09-06 | 0.96% |
| 2026-09-05 | 1.01% |
| 2026-09-04 | 0.99% |
| 2026-09-03 | 1.00% |
| 2026-09-02 | 0.90% |
| 2026-09-01 | 0.76% |
| 2026-08-31 | 0.80% |
| 2026-08-30 | 0.83% |
| 2026-08-29 | 0.87% |
| 2026-08-28 | 0.89% |
| 2026-08-27 | 0.84% |
| 2026-08-26 | 0.81% |
| 2026-08-25 | 0.80% |
| 2026-08-24 | 0.80% |
| 2026-08-23 | 0.78% |
| 2026-08-22 | 0.81% |
| 2026-08-21 | 0.86% |
| 2026-08-20 | 0.85% |
| 2026-08-19 | 0.88% |
| 2026-08-18 | 0.89% |
| 2026-08-17 | 0.92% |
| 2026-08-16 | 0.92% |
| 2026-08-15 | 0.92% |
| 2026-08-14 | 0.94% |
| 2026-08-13 | 0.99% |
| 2026-08-12 | 0.98% |