Into:Apex
Where code competes and the best algorithm wins
As of · Jun 4, 10:37 UTC
Bittensor's oldest is now a competition arena where Python algorithms fight for , with RL Battleship and a distributed training simulator running side by side.
What is Apex
Apex (SN1) is the original Bittensor subnet, operated by Macrocosmos. It runs structured Competitions made up of multiple Rounds, where miners submit Python algorithms through the Apex CLI and validators score them against benchmark tasks. The current competitions, per the repo, are RL Battleship (a reinforcement learning Battleship game on a 10x10 grid) and Iota Simulator (a distributed training simulation where miners write routing and balancing algorithms for heterogeneous nodes).
The simple version: Think Kaggle, but the leaderboard pays out in alpha tokens and the problems are rotating, on-chain Bittensor challenges.
Centralized equivalent: Kaggle competitions, with the added twist that scoring runs continuously on-chain and the prize is subnet emissions instead of cash.
How it works:
- Miners submit Python algorithms via the Apex CLI to the active competitions (currently RL Battleship and Iota Simulator) and run them on the subnet.
- Validators evaluate each submission against the competition's benchmarks, score them, and publish that drive emissions to the strongest entries.
Why This Matters
Other research from the same neighborhood of the network.
