Subnet Directory

With the amount of new subnets being added it can be hard to get up to date information across all subnets, so data may be slightly out of date from time to time

Subnet 35

LogicNet

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ABOUT

What exactly does it do?

Their primary narrative as a mathematics, logic, and data analysis AI subnet revolves around optimizing response accuracy. They achieve this by enabling the language model to autonomously write, test, and execute code within unique Python environments. This approach ensures that their responses are not only precise but also practical, effectively addressing everyday challenges faced by users. Furthermore, their deployment offers significant advantages to the Bittensor ecosystem. By providing a model capable of independent code writing and execution, they bolster the capabilities of other subnets, thereby enhancing their accuracy and improving the quality of responses network-wide. Therefore, their contributions extend beyond direct user support to elevating the overall functionality of the Bittensor ecosystem.

Their primary narrative as a mathematics, logic, and data analysis AI subnet revolves around optimizing response accuracy. They achieve this by enabling the language model to autonomously write, test, and execute code within unique Python environments. This approach ensures that their responses are not only precise but also practical, effectively addressing everyday challenges faced by users. Furthermore, their deployment offers significant advantages to the Bittensor ecosystem. By providing a model capable of independent code writing and execution, they bolster the capabilities of other subnets, thereby enhancing their accuracy and improving the quality of responses network-wide. Therefore, their contributions extend beyond direct user support to elevating the overall functionality of the Bittensor ecosystem.

PURPOSE

What exactly is the 'product/build'?

At LogicNet-AIT, their focus is on enriching the Bittensor ecosystem with a robust and dependable subnet dedicated to performing complex mathematical operations and logical reasoning. They aim to empower startups and enterprises by providing easy access to their advanced computational resources through intuitive APIs designed for practical applications.

Their commitment extends to cultivating synergistic relationships with other subnets, fostering a culture of mutual growth and knowledge exchange that enhances the capabilities of the broader network of models and applications.

 

Vision

Their vision aligns closely with Bittensor’s core values of permissionless participation and decentralized services. They aspire to build a subnet that embodies these principles, creating an environment where innovation flourishes through the collective strength and diversity of its participants. They are laying the groundwork for a more open, collaborative, and decentralized world.

 

Validator Requirements

GPU with 24GB or more VRAM
Ubuntu 20.04 or 22.04
Python 3.9 or 3.10
CUDA 12.0 or higher

 

Fine-Tuned Miner (WIP) Requirements

GPU with 18GB or more VRAM
Ubuntu 20.04 or 22.04
Python 3.9 or 3.10
CUDA 12.0 or higher

 

OpenAI Miner Requirements

Python 3.8, 3.9, or 3.10

 

Tools

Currently, the tooling stack includes mathgenerator, OpenAI, HuggingFace, LangChain, and WandB

Coming soon to the public:

  • MIT Database
  • UCD OneSearch
  • Research Paper Database

More tooling will be included in future releases.

Tasks

The validation process supports an ever-growing number of tasks. Tasks drive agent behaviour based on specific goals, such as;

  • Mathematics

Coming soon in future releases:

  • Logics and Reasoning
  • Data Analysis
  • API for other subnets to access their LLM supercharge extensions

Tasks contain a query (basic question/problem) and a reference (ideal answer), where a downstream HumanAgent creates a more nuanced version of the query.

At LogicNet-AIT, their focus is on enriching the Bittensor ecosystem with a robust and dependable subnet dedicated to performing complex mathematical operations and logical reasoning. They aim to empower startups and enterprises by providing easy access to their advanced computational resources through intuitive APIs designed for practical applications.

Their commitment extends to cultivating synergistic relationships with other subnets, fostering a culture of mutual growth and knowledge exchange that enhances the capabilities of the broader network of models and applications.

 

Vision

Their vision aligns closely with Bittensor’s core values of permissionless participation and decentralized services. They aspire to build a subnet that embodies these principles, creating an environment where innovation flourishes through the collective strength and diversity of its participants. They are laying the groundwork for a more open, collaborative, and decentralized world.

 

Validator Requirements

GPU with 24GB or more VRAM
Ubuntu 20.04 or 22.04
Python 3.9 or 3.10
CUDA 12.0 or higher

 

Fine-Tuned Miner (WIP) Requirements

GPU with 18GB or more VRAM
Ubuntu 20.04 or 22.04
Python 3.9 or 3.10
CUDA 12.0 or higher

 

OpenAI Miner Requirements

Python 3.8, 3.9, or 3.10

 

Tools

Currently, the tooling stack includes mathgenerator, OpenAI, HuggingFace, LangChain, and WandB

Coming soon to the public:

  • MIT Database
  • UCD OneSearch
  • Research Paper Database

More tooling will be included in future releases.

Tasks

The validation process supports an ever-growing number of tasks. Tasks drive agent behaviour based on specific goals, such as;

  • Mathematics

Coming soon in future releases:

  • Logics and Reasoning
  • Data Analysis
  • API for other subnets to access their LLM supercharge extensions

Tasks contain a query (basic question/problem) and a reference (ideal answer), where a downstream HumanAgent creates a more nuanced version of the query.

WHO

Team Info

Awaiting content…

Awaiting content…

FUTURE

Roadmap

Q2 – 2024 Initial Developments and Feature Enhancements

Completed Milestones:

  • Subnet registration on Bittensor
  • AI Data Marketplace
  • New subnet features: Leaderboard, Custom Model, Miner’s Reward Mechanism
  • Albert Frontend Integration

 

Q3 – 2024 Platform Expansion and Initial Offerings

July 2024:

  • Bittensor Subnet Revenue sharing
  • Launch Data Annotation Platform Testnet:
  • Conduct internal testing and gather feedback.
  • Engage with early adopters and beta testers to refine the platform.
  • Begin IDO (Initial DEX Offering) for the “Meme” token on the TON blockchain:
  • Develop and launch marketing campaigns to promote the IDO.
  • Engage with the community to build interest and participation.

 

August 2024:

  • Integrate new annotation tools and features based on tester feedback.
  • Initiate strategic partnerships with other blockchain projects to enhance platform utility.
  • Develop an initial prototype for a web3-based AI marketplace where users can buy and sell AI services and data annotations using cryptocurrency.

 

September 2024:

  • Launch a developer program to encourage third-party integrations and tools.
  • Enhance security measures and conduct a comprehensive audit of the platform.
  • Begin working on a decentralized data annotation pool to allow community participation in data labeling tasks, rewarding contributors with tokens.

 

Q4 2024: Platform Launch and Ecosystem Building

October 2024:

  • Officially launch the Data Annotation Platform on the mainnet:
  • Host a virtual launch event to showcase platform features and use cases.
  • Provide onboarding resources and tutorials for new users.
  • Launch the web3-based AI marketplace prototype for early users and gather feedback.

 

November 2024:

  • Expand marketing efforts to attract a broader audience and potential clients.
  • Integrate advanced AI models into the platform, focusing on specialized areas like math and logical problem-solving.
  • Develop and launch an AI-powered insights tool for businesses to gain actionable insights from their annotated data.

 

December 2024:

  • Conduct workshops and webinars to educate businesses on the benefits of data annotation and AI.
  • Launch a community-driven governance model to allow stakeholders to participate in platform decisions.
  • Start exploring opportunities for cross-chain compatibility to increase platform reach and utility.

 

Q1 2025: Monetization and Growth Strategies

January 2025:

  • Introduce premium features and subscription models for businesses requiring advanced tools and services.
  • Develop an AI consultancy service to help businesses integrate and optimize AI solutions.
  • Expand the web3-based AI marketplace with additional AI services and data annotation projects.

 

February 2025:

  • Initiate a bug bounty program to enhance platform security and reliability.
  • Foster partnerships with educational institutions to provide data annotation services for research projects.
  • Launch a mobile application to make data annotation more accessible and convenient.

 

March 2025:

  • Explore additional revenue streams, such as licensing AI models and technology.
  • Develop and integrate a decentralized identity verification system to enhance security and trust within the platform.
  • Begin planning for international expansion and localization of services.

Q2 – 2024 Initial Developments and Feature Enhancements

Completed Milestones:

  • Subnet registration on Bittensor
  • AI Data Marketplace
  • New subnet features: Leaderboard, Custom Model, Miner’s Reward Mechanism
  • Albert Frontend Integration

 

Q3 – 2024 Platform Expansion and Initial Offerings

July 2024:

  • Bittensor Subnet Revenue sharing
  • Launch Data Annotation Platform Testnet:
  • Conduct internal testing and gather feedback.
  • Engage with early adopters and beta testers to refine the platform.
  • Begin IDO (Initial DEX Offering) for the “Meme” token on the TON blockchain:
  • Develop and launch marketing campaigns to promote the IDO.
  • Engage with the community to build interest and participation.

 

August 2024:

  • Integrate new annotation tools and features based on tester feedback.
  • Initiate strategic partnerships with other blockchain projects to enhance platform utility.
  • Develop an initial prototype for a web3-based AI marketplace where users can buy and sell AI services and data annotations using cryptocurrency.

 

September 2024:

  • Launch a developer program to encourage third-party integrations and tools.
  • Enhance security measures and conduct a comprehensive audit of the platform.
  • Begin working on a decentralized data annotation pool to allow community participation in data labeling tasks, rewarding contributors with tokens.

 

Q4 2024: Platform Launch and Ecosystem Building

October 2024:

  • Officially launch the Data Annotation Platform on the mainnet:
  • Host a virtual launch event to showcase platform features and use cases.
  • Provide onboarding resources and tutorials for new users.
  • Launch the web3-based AI marketplace prototype for early users and gather feedback.

 

November 2024:

  • Expand marketing efforts to attract a broader audience and potential clients.
  • Integrate advanced AI models into the platform, focusing on specialized areas like math and logical problem-solving.
  • Develop and launch an AI-powered insights tool for businesses to gain actionable insights from their annotated data.

 

December 2024:

  • Conduct workshops and webinars to educate businesses on the benefits of data annotation and AI.
  • Launch a community-driven governance model to allow stakeholders to participate in platform decisions.
  • Start exploring opportunities for cross-chain compatibility to increase platform reach and utility.

 

Q1 2025: Monetization and Growth Strategies

January 2025:

  • Introduce premium features and subscription models for businesses requiring advanced tools and services.
  • Develop an AI consultancy service to help businesses integrate and optimize AI solutions.
  • Expand the web3-based AI marketplace with additional AI services and data annotation projects.

 

February 2025:

  • Initiate a bug bounty program to enhance platform security and reliability.
  • Foster partnerships with educational institutions to provide data annotation services for research projects.
  • Launch a mobile application to make data annotation more accessible and convenient.

 

March 2025:

  • Explore additional revenue streams, such as licensing AI models and technology.
  • Develop and integrate a decentralized identity verification system to enhance security and trust within the platform.
  • Begin planning for international expansion and localization of services.

NEWS

Announcements

MORE INFO

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