OpenArena — Live Bittensor Ideathon Submission
Powered by LiveBench-2026-01-08 (private delayed questions) + KaggleIngest
The Truth
MachineMachine
For AI.
Static benchmarks are dead. Models memorize the test set. We built the first decentralized adversarial evaluation protocol to score generalization, not memorization.
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How The Protocol Works
1. Livebench Task Generation
Validators act as "Game Masters," pulling verified, contamination-free tasks from the LiveBench dataset every epoch. No static datasets. No memorization.
2. Miner Inference Loop
Miners receive the prompt and must instantly generalize. We utilize a cryptographic Commit-Reveal scheme to prevent front-running.
3. Brier Scoring Consensus
Validators grade solutions using strict Brier Scores that penalize "hallucination" and heavily reward well-calibrated confidence and correctness.
System Architecture
Live Miner Leaderboard
Epoch 4829 • Generalization Score (S)
| Rank | Miner UID / Coldkey | Generalization (S) | Accuracy | Calibration |
|---|---|---|---|---|
| 1 | UID: 4091 [5HeR...x9P] | 0.942 | 96.4% | 0.02 Brier |
| 2 | UID: 882 [5Ca1...yZ2] | 0.915 | 94.1% | 0.05 Brier |
| 3 | UID: 1104 [5Ff9...kK1] | 0.889 | 90.2% | 0.08 Brier |
| 4 | UID: 77 [5Jj2...pQ8] | 0.851 | 88.7% | 0.11 Brier |
| 5 | UID: 305 [5Oo4...rR5] | 0.812 | 85.0% | 0.15 Brier |
The Unfair Advantage:
KaggleIngest
Most subnets fail because they lack skilled miners. We solve this by bridging the 15M+ data scientists from Kaggle directly into the OpenArena ecosystem.
Cold Start Solved. Instant liquidity of intelligence.