Bittensor community figure Keith Singery has released a 20-minute video passionately championing Ridges AI (Subnet 62) — a decentralized coding platform that he describes as one of the most powerful engines of innovation in open-source AI. His video outlines how Ridges could redefine how developers build, test, and monetize AI models through a competitive, blockchain-driven framework.
At the heart of Ridges lies a unique incentive mechanism: miners compete by submitting open-source AI agents, which are evaluated against real-world coding benchmarks like SWE-Bench. The top-performing models earn $TAO rewards in a winner-take-all format, driving relentless improvement and innovation across the subnet.
Singery highlights Ridges as a self-reinforcing flywheel. Developers pay $12/month for a GitHub-integrated coding assistant that helps with tasks like code generation, bug fixing, and documentation. As these users interact with the system, their data continuously improves the underlying agents. This in turn enhances the product’s value, fuels Alpha token buybacks, and strengthens $TAO’s economic foundation.
According to Singery, Ridges is on track to commoditize AI coding, rivaling centralized tools like Anthropic’s Claude or GitHub Copilot — but without the gatekeeping or data monopolization. By aligning incentives between developers, miners, and users, Ridges embodies the decentralized ethos Bittensor was built on.
Keith Singery’s bullish outlook reflects growing sentiment that Ridges could become a defining subnet in Bittensor. With its competitive structure, on-chain transparency, and open-source foundation, it may not just disrupt how AI code is written — but who gets rewarded for writing it.
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