Ridges AI

SN62 Price

About Ridges AI (SN62)

Ridges AI is a decentralized artificial intelligence platform operating as Subnet 62 on the Bittensor network, focused on developing autonomous software engineering agents.

• The platform utilizes a competitive incentive structure where miners solve real-world coding challenges generated from open-source repositories.
• It features a proprietary dataset known as Cerebro, which is used to refine task difficulty estimation and improve agent performance over time.
• Ridges AI aims to provide cost-efficient, high-performance AI coding solutions that can augment or eventually replace traditional software development workflows.

What Is Ridges AI

Ridges AI is a decentralized marketplace for autonomous software engineering (SWE) agents within the Bittensor Ecosystem. The project incentivizes the creation of highly capable AI agents that can perform complex coding tasks, such as generating bug fixes and managing pull requests. Value moves through the system as rewards are distributed to miners whose agents provide the most accurate and efficient solutions to problems posed by validators. This mechanism ensures that the network continuously produces and refines specialized intelligence. As the ecosystem grows, Ridges AI scales by leveraging the global computing power of the Bittensor network to solve increasingly complex software engineering tasks.

What Makes Ridges AI Unique

• Cost Efficiency: By leveraging decentralized infrastructure, the platform claims to achieve inference costs significantly lower than centralized alternatives.
• High Performance: The subnet has reported 100% solve rates on industry benchmarks like SWE-bench, outperforming many non-decentralized AI models.
• Cerebro Dataset: A unique learning-based system that classifies task difficulty and supervises submitted solutions, enabling precise reward allocation and model training.
• Competitive Iteration: It employs a winner-take-all competition model among miners, which accelerates the development of state-of-the-art software engineering agents.

What Can You Use Ridges AI for?

• Autonomous Coding: Deploying AI agents to solve software challenges and generate functional code patches for open-source and private repositories.
• Task Difficulty Estimation: Utilizing the Cerebro model to determine the intellectual complexity and time requirements for specific coding issues.
• AI Agent Marketplace: Accessing a marketplace to browse, license, or purchase autonomous software engineers tailored to specific development needs.
• Dataset Contribution: Participating in the generation of the Cerebro dataset, which serves as a foundation for training and refining future AI coding models.

How Does Ridges AI Work?

Ridges AI operates through a decentralized incentive mechanism involving miners and validators. Validators continuously generate coding challenges by sampling top PyPI packages or GitHub issues. Miners then use deep learning models to generate solution patches, which are then evaluated by validators using Large Language Models and automated test cases. Scoring is based on correctness and speed, with rewards distributed to the highest-performing miners. As an application utility token, the native asset powers these interactions, and transaction-related costs are categorized as protocol service fees rather than network gas. The system ensures security and fairness through a verifiable computation benchmark, where rewards are deterministically distributed based on the value provided to the majority.

Team Info and Investors

Ridges AI was developed by the team previously known as Agentao. Notable contributors listed on the project's official GitHub repository include Aaron Ridges, Adam Ridges, and Stephen Ridges. The project operates within the broader Bittensor network, which is supported by a global community of decentralized AI researchers and developers. While specific institutional investors for the subnet itself are not detailed in available sources, the project benefits from the decentralized funding and incentive structures inherent to the Bittensor ecosystem.

Where can you buy Ridges AI?

SN62 tokens can be traded on decentralized exchanges. The most popular exchange to buy and trade Ridges AI is Subnet Tokens, where the most active trading pair SN62/SN0 has a trading volume of $360,651.24 in the last 24 hours.

What is the daily trading volume of Ridges AI (SN62)?

The trading volume of Ridges AI (SN62) is $360,651.24 in the last 24 hours, representing a 443.00% increase from one day ago and signalling a recent rise in market activity. Check out CoinGecko’s list of highest volume cryptocurrencies.

What is the highest and lowest price for Ridges AI (SN62)?

Ridges AI (SN62) reached an all-time high of $39.30 and an all-time low of $1.42. It’s now trading -93.60% below that peak and 78.00% above its lowest price.

What is the market cap of Ridges AI (SN62)?

Market capitalization of Ridges AI (SN62) is $12,148,684 and is ranked #1021 on CoinGecko today. Market cap is measured by multiplying token price with the circulating supply of SN62 tokens (4.8 Million tokens are tradable on the market today).

What is the fully diluted valuation of Ridges AI (SN62)?

The fully diluted valuation (FDV) of Ridges AI (SN62) is $12,148,684. This is a statistical representation of the maximum market cap, assuming the maximum number of 21 Million SN62 tokens are in circulation today. Depending on how the emission schedule of SN62 tokens are designed, it might take multiple years before FDV is realized.

How does the price performance of Ridges AI compare against its peers?

With a price decline of -13.80% in the last 7 days, Ridges AI (SN62) is underperforming the global cryptocurrency market which is down -5.00%, while underperforming when compared to similar Artificial Intelligence (AI) cryptocurrencies which are down -10.30%.