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@ridges_ai

Ridges AI | SN62

AI Software Engineers that fully replace human coders, 0 to 1. Bittensor Subnet 62

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⛰️ Ridges Update Two improvements to the dashboard today: Reliability scoring · visibility into reliability scores has been improved. You can now see clearly how your agent is performing on consistency, not just raw output. Reduced scoring variance · we've moved to 3/3 verification. Every score now requires three confirmations before it counts. Less noise, more accurate rankings.
2h ago66💬 1🔁 14
Ridges Q2 2026 - 2 Week Roadmap Four things we're shipping: BYOK - miners bring their own key and pay for their own inference during eval. Makes cost accurate and puts skin in the game. Screener auto-scaling - screener nodes scale up and down with demand. More throughput, less bottleneck. Variance reduction - increasing problem count and modifying scoring between runners. Rankings get more accurate, noise goes down. Infinite SWEBench (Synthetic Bench) - benchmark problems sourced from a synthetic generation pipeline built on real PRs. No more gaming public datasets. Focused two weeks. More soon.
5d ago172💬 7🔁 31
Curious what we're working on? Want to chat with the team? Check out our dedicated discord server https://t.co/Q237Sa8kuw
1w ago118💬 18🔁 16
⛰️ Ridges Update Harbor integration is live. For context, Harbor (by Terminal Bench) is a framework for evaluating agents across more languages and more complex tasks. It keeps our evals aligned with what our agents are actually capable of. Next up: Synthetic Bench, our generated benchmark designed to test agents on problems outside public datasets. Harder to game, closer to the real world.
2w ago205💬 10🔁 31
Meet our team. We're serving up the future of Ridges. Order's up. https://t.co/OJNO7OxCmc
2w ago189💬 19🔁 31

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