Exciting New Updates from the Common AI Ecosystem: Subnets, Validators, and More
Welcome to the world of Common AI! In today’s fast-evolving tech landscape, keeping up with the latest innovations is crucial, and Common AI is bringing some major changes.
Introduction:
Welcome to the world of Common AI! In today’s fast-evolving tech landscape, keeping up with the latest innovations is crucial, and Common AI is bringing some major changes. In this article, we’ll cover key updates including new subnet features, enhanced validator capabilities, and exciting platform improvements. Whether you’re a validator, a miner, or just curious about AI-driven ecosystems, these updates are sure to grab your attention.
Key Updates in the Common AI Ecosystem:
- New Subnet Parameter: One of the biggest changes in the ecosystem is the introduction of a new subnet parameter. This feature allows users to easily view subnet information directly on the Common AI Discord server in real time. Subnet owners can now efficiently update and maintain metadata, helping keep the community informed. This enhancement makes subnet management smoother and more transparent.
- Runtime Update and Delegation Fees: The latest runtime update brings several important changes, including the unification of delegation fees across all subnets. Additionally, a new metadata parameter has been introduced, allowing subnet owners to upload relevant data directly to the blockchain. This makes managing subnets and updating costs easier and more efficient, streamlining the entire process.
- Validator Immunity and DOS Protection: Validators play a key role in keeping subnets running smoothly, and the recent update to the validator immunity logic ensures that inactive validators can no longer remove Val spots in subnets with lower module limits. Moreover, blockchain API nodes have been updated with enhanced DOS protection, minimizing the risk of node crashes.
The Prediction Subnet: Enhancing Network Efficiency
The Prediction Subnet has rolled out its latest updates, introducing key improvements like an internal SQLite database for validators. These updates enhance the Sigma function scoring system, making it more dynamic and accurate. This provides a better user experience and improves overall network efficiency.
Looking ahead, the team is working on integrating trading signals based on subnet APIs into the platform’s frontend. This will make the system even more powerful for users who rely on accurate, real-time data.
Meet the New Subnets: A Growing Ecosystem
The Common AI ecosystem continues to expand with several new subnets:
- Yog GP allows users to fine-tune and train LLM models like GPT-2, Llama 2, and Open Elm. Its unique feature is the ability to match tasks with hardware specifications, improving performance for smaller-scale tasks.
- Hi Train Dtune focuses on decentralized scaling with a bold vision of achieving one trillion parameters. The platform uses a modular training approach and introduces weekly updates to ensure peak performance.
- Yarm, designed to revolutionize the recruitment industry, generates resumes and scores them against job descriptions using an ATS (Applicant Tracking System). It’s set to launch on the main network soon.
- Dippy is an open-source mobile AI companion platform that is quickly gaining traction in the role-playing gaming space. With proactive AI characters and a growing user base, Dippy is poised to become a major player.
Governance Page Overhaul: Improved User Experience
The new governance page brings a redesigned UI and several improvements aimed at enhancing the user experience:
- Proposal Creation: The system now supports a wider range of proposals, including those related to DAO treasury transfers.
- Proposal Display: New proposal cards show key details such as subnet status, type of proposal, reward status, and current rewards.
- Transparent Voting Information: Users can now view the list of voters along with their respective stakes, ensuring transparency.
- Interactive Discussion Section: A new area allows users to upvote or downvote comments and flag inappropriate remarks.
- Performance Optimization: The page now loads faster, and overall system performance has significantly improved.
As always, the Common AI team encourages community feedback to keep improving the platform.
Common X Validator: Expanding Across Multiple Subnets
The Common Next team has successfully launched the Common X validator across multiple subnets. This validator is designed to adapt and operate on every major subnet, optimizing APY potential while delivering high-quality validation services. The team is committed to maintaining transparency in the weight-setting process and avoiding excessive self-weighting on their own subnets.
Additionally, regular reports and blog updates will be released to explain decisions and share analytical insights with the community. Delegations are welcomed to help expand their efforts and positively impact the root network.
Com Tensor: Bridging Common AI and Bit Tensor
One of the most exciting developments in the Common AI ecosystem is Com Tensor, a project designed to bridge Common AI with BitTensor. Com Tensor enables users to interact directly with BitTensor subnets via Common AI. This integration allows for seamless communication between the two ecosystems.
Miners, who act as BitTensor validators, query subnets for outputs, and validators then score the miners based on the accuracy and reliability of their responses. This mechanism is constantly being improved, with upcoming updates introducing cryptographic methods to enhance security.
Conclusion: Stay Connected with the Common AI Community
The Common AI ecosystem is rapidly evolving, with new subnets, updates, and validators enhancing the network's capabilities. Whether you're a seasoned validator or a curious newcomer, there are many exciting developments to explore.
For more information and to stay up to date with the latest changes, be sure to join the Common AI Discord. It's a vibrant community that welcomes feedback and contributions from users.
Thank you for reading, and stay tuned for the next update!
Source : @Eden.