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ApexSN1αOverview
0.011069 τ
Apex
α(Alpha)SN1Open competitions for algorithmic and agentic optimization
α / τ
0.011069 τ
Network Share2.21%#70
TVL 59,113τ
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Open competitions for algorithmic and agentic optimization
Neuron registration trends
| Time↓ | Type | Event | τ Amount | α Amount | USD Value | Account |
|---|---|---|---|---|---|---|
| Sell | 7972030-107 | 39.8559 τ | 3,614.63α | — | ||
| Sell | 7972020-37 | 9.9494 τ | 899.9021α | — | ||
| Sell | 7971880-103 | 0.0377 τ | 3.4087α | — | ||
| Buy | 7971808-78 | 0.0154 τ | 1.393α | — | ||
| Sell | 7971797-34 | 28.5491 τ | 2,580.44α | — | ||
| Buy | 7971790-87 | 39.998 τ | 3,608.29α | — |
Bittensor Subnet 1 (Apex) drives algorithmic innovation across diverse problem domains through time-limited Competitions and Rounds of evaluation. Miners submit Python-based algorithms via the Apex CLI, which are continuously evaluated by validators against benchmarks. Current competitions include RL Battleship (training models to sink ships in as few turns as possible) and Iota Simulator (routing and balancing algorithms for distributed training simulation).
Rewards are distributed on-chain based on performance, creating a trustless incentive mechanism that encourages optimization across various computational challenges.
Apex consists of miners who submit Python algorithms via the Apex CLI, and validators who continuously evaluate these submissions inside isolated sandbox containers (Docker-based). Validators run each miner's solution against competition-specific evaluation logic (BaseEvaluation subclasses), optionally running startup setup steps before the main evaluation process. Results are scored and blockchain-based rewards are distributed to miners via the Bittensor network.
The codebase is organized as a monorepo with workspace members: shared/common, shared/competition, src/cli, and src/validator.
Validators continuously evaluate miner submissions by running them inside sandboxed containers (SandboxRunRules). Each competition defines its own scoring criteria: RL Battleship scores miners on how few turns their model takes to sink all ships; Iota Simulator scores miners on the efficiency of their routing/balancing algorithms for moving activations through heterogeneous pipeline nodes under realistic conditions (node churn, variable latency, bandwidth constraints). Rewards are distributed proportionally to performance rankings within each competition round.
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Open competitions for algorithmic and agentic optimization
