# Welcome to AIT Protocol

A Revolutionary Approach to Labeling and Processing Big Data

The AIT Protocol stands as a trailblazer in the domain of Web3 data infrastructure, placing a significant emphasis on the annotation of data and the training of AI models. This innovative protocol leverages the power of blockchain technology to create a decentralized labor market that transcends international boundaries. In this unique market ecosystem, participants are incentivized through the principles of crypto economics, ensuring not only the rapidity of cross-national payment settlements but also the utmost trust and security.

The AIT decentralized marketplace offers an exceptional and expansive opportunity for millions of cryptocurrency users to partake in "Train-to-Earn" tasks, a concept that simultaneously enables them to earn rewards while actively contributing to the progression of AI models and the development of cutting-edge solutions.

This vision is fueled by the ever-growing demand for top-tier structured data within the sphere of AI application development, a market that had already exceeded the impressive valuation of USD 200 billion in 2022. For millions of data labelers, AIT serves as their inaugural entry point into the exciting realm of web3 technology, marking a significant step forward in embracing this transformative era of digital innovation and opportunity.&#x20;


# Vision, Mission & Focus

**At AIT, our mission** is to usher in a revolutionary transformation in the way individuals engage with and navigate the intricate world of cryptocurrencies and blockchain technology, all by harnessing the transformative potential of artificial intelligence (AI). At the heart of our mission lies the core objective of expediting AI development, primarily achieved by significantly reducing the exorbitant costs associated with the data annotation production process. As a result, we seek to empower users through the innovative framework of our tokenomics system, encouraging active participation and contributing to the progress of AI. We are dedicated to offering a cutting-edge platform replete with advanced tools essential for proficiently performing data labeling tasks.

**Our guiding principles** are firmly rooted in integrity, diligence, and accountability, and we remain steadfast in our commitment to delivering top-notch, inventive solutions tailored to the distinctive needs of our esteemed clientele. Through our vision, mission, and unwavering focus, we are resolute in our commitment to shape a brighter and more accessible future for users worldwide. Our aspiration is to establish a world where AI-driven platforms are effortlessly accessible, user-friendly, and equipped to furnish precise and reliable information, assistance, and tools within the ever-evolving domains of cryptocurrencies and blockchain technology.

<br>


# Vision

At AIT Protocol, our vision is to catalyze the evolution of artificial intelligence by providing cutting-edge data annotation services and AI model training solutions. We aspire to be at the forefront of this transformative technology, where AI not only mimics human intelligence but enhances it, improving countless aspects of our daily lives.


# Mission

Our mission at AIT Protocol is to enable the seamless integration of artificial intelligence into various industries, promoting efficiency, accuracy, and innovation. We are committed to delivering high-quality data annotation and AI model training services that empower businesses and researchers to harness the full potential of AI. Through a blend of technology, expertise, and unwavering dedication, we seek to provide the tools and knowledge needed to make AI accessible to all.


# Focus

1. **Excellence in Data Annotation Services:** AIT Protocol prides itself on delivering precise and comprehensive data annotation services. We understand that high-quality training data is the bedrock of successful AI models. Our team is dedicated to labeling, tagging, and annotating data with meticulous attention to detail, ensuring that AI algorithms are trained on the most accurate and reliable information available.
2. **Tailored AI Model Training:** We recognize that one-size-fits-all solutions do not work in the world of AI. AIT Protocol focuses on customizing AI model training to suit the unique needs of each client. Whether it's natural language processing, computer vision, or recommendation systems, we fine-tune our training methodologies to ensure optimal performance.
3. **Ethical Data Annotation:** AIT Protocol is deeply committed to ethical data annotation practices. We prioritize privacy and security, ensuring that all data annotation complies with the highest ethical standards and data protection regulations. We believe that responsible AI development is a crucial aspect of our mission.
4. **Innovation and Research:** Our team of experts is dedicated to staying at the forefront of AI research. We are continually exploring new techniques, technologies, and methodologies to enhance the accuracy and efficiency of data annotation and AI model training. Our focus on innovation drives us to develop and implement the most advanced AI solutions.
5. **Collaboration and Knowledge Sharing:** AIT Protocol understands the collaborative nature of AI development. We actively engage with our clients, partners, and the wider AI community to share knowledge and insights. By fostering a culture of collaboration and information exchange, we aim to accelerate the progress of AI as a whole.
6. **Accessibility and Affordability:** We are committed to making AI technology accessible to a wide range of businesses and researchers. AIT Protocol offers free-market pricing models and scalable solutions to ensure that organizations of all sizes can benefit from our expertise.

In summary, AIT Protocol's vision is to lead the AI revolution, our mission is to empower businesses and researchers, and our focus is on providing top-tier data annotation services and AI model training while upholding ethical standards and promoting innovation. Through these principles, we aim to contribute to a future where AI positively transforms industries and the way we interact with technology.


# Ecosystem & Partnerships

**Infrastructure**&#x20;

* LayerZero: <https://x.com/LayerZero_Labs/status/1649453216474746881?s=20>

**Blockchain:**&#x20;

* OKX chain: <https://x.com/AITProtocol/status/1648674749990727691?s=20>
* Shardeum: <https://x.com/shardeum/status/1649299467655430144?s=20>
* zkSync: <https://x.com/zksync/status/1717945673805398104?s=20>
* Taiko: <https://discord.com/channels/984015101017346058/1166191618517368852/1166995780591173715>
* Monad: <https://x.com/monad_xyz/status/1704182809345282214?s=20>
* Viction: <https://x.com/AITProtocol/status/1726564150044995593?s=20>

**Dapp:**&#x20;

* Magic Square: <https://x.com/AITProtocol/status/1656338597057019904?s=20>
* Coin98 Super App: <https://x.com/AITProtocol/status/1720428427831099530?s=20>

**Incubator:**&#x20;

* Paal AI: <https://x.com/AITProtocol/status/1722237740824305974?s=20>
* Metabros: <https://x.com/AITProtocol/status/1724774587874054581?s=20>


# Problems & Our Solutions


# Problems

The Big Problem in Data Processing: Inefficiency & High Costs

Data processing is the linchpin of high-quality AI applications, and the accuracy of this data annotation process is crucial. However, the traditional methods employed in data annotation are now struggling to meet the demands of the ever-expanding AI landscape. Two primary challenges confront this conventional paradigm: inefficiency and high costs.

\
[Inefficiency](/ai-data-annotations-platform/problems-and-our-solutions/problems/inefficiency)\
[Highcost](/ai-data-annotations-platform/problems-and-our-solutions/problems/highcost)<br>


# Inefficiency

**Revolutionizing Data Annotation: Breaking Free from Traditional Constraints and Embracing Web3 Expertise**

The conventional approach to data annotation mirrors the construction of a pyramid, heavily dependent on manual labor. This labor-intensive method, while once the standard, now proves inadequate in the face of the swift evolution of AI technologies. The inefficiencies inherent in this outdated process act as bottlenecks, creating a ripple effect that not only consumes valuable time but also hinders the seamless development of AI applications.

Adding to these challenges is the lack of web3-knowledgeable labelers, further exacerbating the limitations of traditional annotation methods. As the AI landscape continues to advance, the absence of expertise in the unique intricacies of web3 compounds the delays and constraints faced by projects.

This time-consuming and outdated methodology can no longer keep pace with the demands of the rapidly advancing AI landscape. The consequences are profound, manifesting as delayed projects, an extended time-to-market for innovative solutions, and a glaring gap in web3-knowledgeable labelers. As we step into the future, it is imperative to break free from these traditional constraints and embrace a more agile, efficient, and technologically advanced paradigm for data annotation. The evolution is not just a necessity; it's a catalyst for propelling AI applications into the next frontier of development.


# Highcost

Several factors contribute to the high costs associated with traditional data annotation methods. Firstly, acquiring skilled annotators is challenging and costly. The availability of labor pools with the requisite expertise can be limited, leading to competitive labor markets and escalating wages. Onboarding new workers also consumes resources and increases costs. Moreover, the conventional payment terms add to the expenses. These high costs can be categorized as follows:

1. **Extra Cost for Incorrect Labels:** Mistakes made during the annotation process can lead to costly revisions, as data accuracy is paramount for AI applications. Correcting errors adds to the expense and extends project timelines.
2. **Expensive Manual Data Collection:** Data collection often necessitates hiring human labor, which can be a costly and time-consuming endeavor, especially for large-scale datasets.
3. **Human/Labor-Intensive Labeling:** Relying solely on human annotators results in labor-intensive processes that are prone to bottlenecks and inefficiencies, making it challenging to keep up with the pace of AI development.


# Our Solutions

Powering the Future of Decentralized Data Annotation at Low Cost

The future of data annotation lies in intelligent and efficient data processing. Our innovative solutions address the inefficiency and high costs of traditional data annotation, paving the way for a more streamlined and cost-effective approach: \
\
[Human-In-The-Loop (HITL)](/ai-data-annotations-platform/problems-and-our-solutions/our-solutions/human-in-the-loop-hitl)\
[Web3 Global Workforce](/ai-data-annotations-platform/problems-and-our-solutions/our-solutions/web3-global-workforce)\
[Streamlined Onboarding & Cross-Border Payments](/ai-data-annotations-platform/problems-and-our-solutions/our-solutions/streamlined-onboarding-and-cross-border-payments)\
[Permissionless Marketplace](/ai-data-annotations-platform/problems-and-our-solutions/our-solutions/permissionless-marketplace)

In summary, our solutions represent a paradigm shift in data annotation, addressing the inefficiency and high costs that have plagued traditional methods. By harnessing the power of HITL, a web3 global workforce, streamlined onboarding, and a permissionless marketplace, we are paving the way for a future of intelligent data processing that is not only more cost-effective but also more efficient and accessible to a global audience.


# Human-In-The-Loop (HITL)

**Optimizing Data Labeling: A Synergy of Human Expertise and Machine Learning Mastery**

Our Human-In-The-Loop (HITL) approach stands as a harmonious blend of human expertise and cutting-edge machine learning capabilities, engineered to accelerate and elevate the data labeling process. This innovative fusion harnesses the unique strengths of both humans and AI, culminating in swifter and more precise annotations.

By synergizing human intuition with the efficiency of artificial intelligence, we not only diminish the dependence on human labor but also substantially enhance the overall efficiency of the labeling process. This strategic collaboration empowers companies to seamlessly meet the escalating demands of AI development.

In essence, our HITL approach is a strategic leap forward, embodying a commitment to precision, speed, and technological advancement. It is not merely a methodology; it is a transformative engine propelling data labeling into a realm of unparalleled effectiveness and agility.


# Web3 Global Workforce

**Democratizing Data Annotation: Shattering Boundaries for a Global Workforce**

We're dismantling geographical and accessibility barriers, ushering in an era where anyone with an internet connection can seamlessly contribute to data annotation tasks. This transformative approach not only transcends traditional constraints but also grants companies access to an affordable, 24/7 global workforce.

By harnessing the combined power of the internet and blockchain technology, we forge a ***decentralized, borderless workforce*** capable of processing data efficiently and cost-effectively. This revolutionary method democratizes data annotation, ensuring that companies, regardless of location or size, can tap into a diverse pool of talent precisely when they need it.

In essence, we're not just connecting contributors globally; we're redefining the very landscape of data annotation. This groundbreaking shift promises a future where accessibility is universal, costs are optimized, and companies have the agility to access the talent they require precisely when the demand arises.


# Streamlined Onboarding & Cross-Border Payments

**Streamlined Access and Secure Transactions: Empowering Workers with Ease**

Our commitment to user-friendly engagement begins with the implementation of robust Know Your Customer (KYC) processes, ensuring a secure and trustworthy platform. We've taken a stride further by simplifying onboarding procedures, making it remarkably easy for workers to seamlessly join our platform.

In our pursuit of efficiency, we leverage the transformative capabilities of blockchain technology to facilitate seamless, cross-border payments. This strategic integration not only ensures hassle-free transactions but also serves as a powerful tool in reducing administrative overhead and transaction costs.

In essence, our platform is more than just a space for collaboration; it's a testament to our dedication to user convenience and operational excellence. From secure onboarding to effortless payments, we're committed to providing an experience that aligns seamlessly with the evolving needs of our global workforce.


# Permissionless Marketplace

**Empowering Customization and Control: Unleashing Innovation in Data Annotation**

Our platform empowers companies, projects, and individuals alike to craft their own data annotation tasks, paving the way for a dynamic marketplace where users are rewarded for contributing to the labeling of datasets. This permissionless environment sparks healthy competition and fosters innovation, driving the creation of cost-effective solutions.

By allowing diverse entities to curate and incentivize annotation tasks, we cultivate an ecosystem where the competition thrives, and inventive solutions emerge. This not only brings about a more efficient data annotation process but also grants companies unprecedented control over their annotation workflows. In this permissionless marketplace, innovation flourishes, costs are optimized, and data annotation becomes a tailored, agile endeavor.


# Features

In the dynamic landscape of web3 technology, our data annotation platform is not just a tool but a collaborative endeavor that actively incentivizes crypto users. By leveraging the specialized knowledge of contributors well-versed in the intricacies of web3, we redefine the data labeling process. These crypto enthusiasts bring a nuanced understanding of blockchain, decentralized applications, and cryptographic principles, ensuring that the labeled data is not just accurate but contextually rich. As contributors, they play a pivotal role in elevating the quality of web3 data annotation, making it a collaborative and community-driven effort.

Our platform transforms the traditional data annotation paradigm by recognizing the value of crypto users within the web3 ecosystem. We actively incentivize these contributors, offering rewards and recognition for their valuable insights. Beyond merely labeling data, we empower crypto enthusiasts to shape the narrative of decentralized technologies while enjoying tangible benefits. This approach not only enhances the accuracy and relevance of annotated web3 data but also fosters a sense of community ownership.

Furthermore, the processed dataset becomes a cornerstone for training and refining AI models, with the ultimate goal of enhancing their applications in the crypto space. Join us in this transformative journey where the fusion of crypto knowledge and data annotation sets a new standard for precision and community collaboration, all while enjoying the incentives of being an integral part of the evolving web3 landscape.&#x20;


# Discover Web3 Data Annotations

**Introducing AIT Protocol: Elevating Data Annotation to Unprecedented Heights**

Step into the future of data annotation with the AIT Protocol, a comprehensive solution meticulously crafted for a seamless and efficient data annotation production process. Our journey begins with a team of expert data scientists, poised to pre-label the original datasets provided by our valued clients.

These initial labels serve as the foundation, undergoing a transformative refinement process powered by our vibrant user community and reinforced by state-of-the-art machine learning algorithms. The collaborative efforts of our community and advanced technology converge to enhance the precision and depth of the dataset, setting new standards in data annotation.

<figure><img src="/files/a9Iw6ZNHICaGK6lXXcmG" alt=""><figcaption></figcaption></figure>

The final dataset undergoes a meticulous validation phase led by our skilled data scientists, ensuring the highest levels of accuracy and quality. This validation process serves as the hallmark of our commitment to delivering reliable data. The result is a meticulously curated dataset that stands as a testament to our dedication to excellence.

This curated dataset is not just an endpoint; it's the beginning of empowering our esteemed customers. We make this high-caliber, dependable data readily available to meet the diverse needs of our customers, offering a top-tier resource that transcends expectations. With AIT Protocol, experience a new era where data annotation reaches unprecedented heights, setting the stage for innovative possibilities in data-driven endeavors.


# Dataset as a Service (DaaS)

**Unlocking the Power of Data: AIT Protocol's Pinnacle in Decentralized Technologies**

In the ever-evolving landscape of decentralized technologies, AIT Protocol stands at the forefront, introducing a revolutionary force—The AIT Protocol Marketplace. This cutting-edge platform redefines the dynamics of data exchange, aiming to reshape how information is harnessed within the expansive realms of the crypto space.

**A Symphony of Expertise: AIT's Dedication to Transformative Data Processing**

At the core of this groundbreaking endeavor is our devoted team, steering a transformative process that commences with the uploading of diverse datasets onto the AIT Protocol Marketplace. Spanning a spectrum from blockchain analytics to decentralized application data, these datasets undergo a meticulous processing phase, driven by the collective power of our community. This collaborative effort unlocks the true potential of each dataset, unraveling valuable insights and applications.

<figure><img src="/files/QMXQVA8ipExLCrnJtGvA" alt=""><figcaption></figcaption></figure>

**Refined Insights at Your Fingertips: AIT Protocol Data Marketplace Unveiled**

The journey culminates in the availability of meticulously processed datasets, refined and ready for immediate use. These datasets are presented to subscribers on the AIT Protocol Data Marketplace, a dynamic nexus attracting data enthusiasts, researchers, and businesses. This marketplace transcends traditional data exchange paradigms, connecting data providers with those in need, and fostering a vibrant ecosystem where the true value of data is fully realized.

**Democratizing Data Excellence: AIT's Commitment to Limitless Possibilities**

As we propel into the future, the AIT Protocol Marketplace epitomizes our unwavering commitment to democratizing access to high-quality, processed datasets. Whether you're a data provider seeking to contribute to this transformative space or a subscriber eager to access valuable datasets, we invite you to join us on a journey where the possibilities of decentralized data exchange are boundless. The AIT Protocol Marketplace is not just a platform; it's a living testament to the immense potential unlocked when community collaboration converges with cutting-edge technology.


# Custom A.I Solutions

In today's rapidly evolving business landscape, the one-size-fits-all approach to technology often falls short of meeting the unique demands and challenges faced by different companies. As a result, many organizations are turning to custom artificial intelligence (AI) solutions to address their specific needs and gain a competitive edge.&#x20;

At AIT, we perceive the creation of custom AI for company-specific needs is a strategic investment that can transform your business by harnessing the full potential of artificial intelligence. It allows us to tailor technology to your business's unique requirements, ensuring that you stay ahead in a rapidly evolving business landscape.&#x20;

Thanks to the utilization of web3 technology and the abundant crypto workforce, the expense associated with creating bespoke AI solutions has reached an unprecedented level of affordability and accessibility.

<figure><img src="/files/wFZofFUYjZNmabTZvPyz" alt=""><figcaption></figcaption></figure>


# Einstein-AIT Subnet (Bittensor)

Einstein-AIT

*Welcome to SN35 Eisntein-AIT, where we’re building a marketplace for the computation of complex mathematics, logical reasoning and data analysis. This page will be updated periodically with new information.*

**Links:** [Github](https://github.com/ait-protocol/einstein-ait-prod) | [Discord Channel](https://discord.gg/aZMmqW3c)


# Subnet Owners

Subnet 5, Einstein-AIT is overseen by AIT Protocol in partnership with General TAO Ventures.

#### AIT Protocol (AIT)

AIT Protocol is a Web3/AI-native company **valued at a market cap of over 50M**, at current prices, with over **100,000 wallets** connected to its dapp. AIT Protocol consists of a team of 30 full-time employees specializing in delivering data annotation tools through Web3 Innovation **for the ever-growing market of AI/ML model training.** The mission at AIT Protocol is to enable the seamless integration of artificial intelligence into various industries, promoting efficiency, accuracy, and innovation.

[AIT Website](https://ait.tech/)

#### General TAO Ventures (GTV)

GTV is a subsidiary of [Contango Digital Assets](https://www.contango.digital/), a Canadian based Venture Capital company investing at the nexus of blockchain and AI since June 2021. Contango has made over 75+ investments under this thesis and is has dedicated their mission to building bridges for their portfolio companies to enter into the Bittensor ecosystem, contributing value in various ways, through the General TAO Ventures vehicle.


# Subnet 5 Summary

General description of Einstein-AIT SN4

Einstein-AIT(SN5) is a marketplace for AI/ML models specializing in mathematics, logical reasoning, and data analysis. It will act as a **supercharger** for other LLMs on Bittensor, by minimizing hallucinations in LLMs when asked to perform complex mathematical tasks. We achieve this by enabling the language model to autonomously write, test, and execute code within unique Python environments.

By providing a model capable of independent code writing and execution, we bolster the capabilities of miners and other subnets, thereby enhancing their accuracy and improving the quality of responses network-wide.

SN5 contributions are pivotal, transcending direct user support to **amplify the collective intelligence of the Bittensor ecosystem.**

#### Why Math?

**AI systems that can solve complex math could allow us to build more powerful AI tools.**

Math is hard for AI models. Complex math, such as geometry, requires sophisticated reasoning skills, and many AI researchers believe that the **ability to crack it could herald more powerful and intelligent systems.**

We believe SN35 Einstein-AIT subnet can move Bittensor LLMs closer to human-like reasoning skills. This could allow us to build more powerful AI tools on Bittensor to help mathematicians solve highly complex equations and problems.

LLM’s on the other hand need to better adopt ‘**computational thinking**’ which involves defining and understanding a problem and and then breaking it down into pieces so that an LLM can calculate the answer, minimizing hallucinations and maximizing response accuracy.


# Subnet Roadmap

Einstein-AIT High-level Roadmap

#### Phase 1: Mainnet Launch ✅

* Deploy a robust incentive mechanism for miners to compete fairly
* Distribute Validator and Miner Documentation for subnet accessibility

#### Phase 2: Mining Developments 🔜

*Miners currently need to use OpenAI API*

* GPU miner integration
* Release of AIT PAL API to supercharge GPU miners and improve performance
  * The AIT PAL (Programming Aid Language) will improve miner performance for miners across all text-generation subnets
* Release of custom data sets for complex mathematics, logic, and data analysis
* Enable integration for a wider range of miner APIs, other than OpenAI

#### Phase 3: Albert, The Front-end App 🔜

* We’ll be releasing Albert, the front-end access to our subnet, for all things Mathematics, Logical Reasoning, and Data Analytics

See the screenshot teaser below of Albert’s user interface.

<figure><img src="/files/KJ5QH3V92qX7W9HIUTi0" alt=""><figcaption><p><em>Albert's User Interface</em></p></figcaption></figure>

#### Phase 4: Supplementary Incentive Model (SIM) 🔜

* Train-to-Earn $AIT tokens, through various interactions on our front-end app, Albert.
  * [$AIT on DEX tools](https://www.dextools.io/app/en/ether/pair-explorer/0x4e34da137f0b317c633838458e0c923a5e088752?t=1708792319346)


# Documentations

This repository is the **official codebase for the Einstein - AIT subnet**. It contains the code for the validators and miners that are used to validate and mine on the subnet.\
\
<https://github.com/ait-protocol/einstein-ait-prod>


# Market Research Insights

According to Tidio. (April, 2023). The Future of Chatbots: 80+ Chatbot Statistics for 2023. Retrieved from <https://www.tidio.com/blog/chatbot-statistics/>

1. **Trends and Adoption**: Chatbots in 2023 are becoming more sophisticated and are being used beyond customer service, expanding into areas like marketing, human resources, and operations. They are proving beneficial for a wide range of sectors including ecommerce, B2B companies, real estate, and even healthcare and education.
2. **Consumer Preferences**: About 53% of consumers find long waits for replies frustrating. Notably, 62% would prefer talking to a chatbot over waiting 15 minutes for a human agent. This indicates a preference for immediate interaction, which chatbots can provide.&#x20;

<figure><img src="/files/F7SvuWlR7wxI7rAGLfFp" alt=""><figcaption></figcaption></figure>

3. **Usage Statistics**: A significant 88% of web users interacted with chatbots in 2022, with 90% of customer queries typically resolved in 10 messages or fewer. This highlights the efficiency and widespread acceptance of chatbots.

<figure><img src="/files/XpKQppN3ttJTZqJef4OW" alt=""><figcaption></figcaption></figure>

4. **Market Growth and Potential**: The chatbot market is projected to grow to over $994 million in 2023, with a predicted expansion to $3 billion by the end of this decade. The increasing adoption of AI-powered GPT-3 chatbots is a notable trend.
5. **Small Business Adoption**: Small businesses are embracing chatbot technology at a faster rate than larger businesses, primarily due to resource constraints and the need for efficient customer interaction.

<figure><img src="/files/3ilEdt7h3zrBSvteV25Q" alt=""><figcaption></figcaption></figure>

6. **Cost Efficiency:** The deployment of chatbots led to an estimated $11 billion in cost savings in 2022. They can save businesses up to 30% on customer support costs, indicating a high potential ROI.

<figure><img src="/files/cTOatukLt2R2ZpxDRJOp" alt=""><figcaption></figcaption></figure>


# AI Moderation Bot

**Description:**

Our AI is currently in the development phase, but we are excited to announce that the first public demonstration is scheduled for the end of this month.&#x20;

Designed to integrate seamlessly into the community, our AI will function not only as a knowledgeable support resource but also as an engaging member. It's adept at not just providing answers to queries, but also at participating in community interactions, referencing everything from jokes and memes to relevant articles based on user input.

Please keep in mind that this is just the beginning; as we progress, our AI will evolve to embody a more human-like presence, capable of performing tasks akin to those of a community manager.

**Bot Features:**

\- Human-like Personality: Engaging and relatable.

\- Natural Language Processing: Understands complicated inputs for a seamless experience, no need for multiple bot command lines, just tag the bot and ask away!

\- Continuous Conversation: Offers unique dialogues for each user.

\- User Unique Chat Logs and Data Collection: Ensures personalized interaction.

\- AIT Information Help Desk: Provides comprehensive assistance.

\- Crypto Market Data: Provides real-time market data and quick insights.

\- Crypto Wallet Address Network Detector: Advanced recognition capabilities.

\- Intuitive Interaction: Responds to messages without direct tagging (In testing phase, expect bugs).\
\
Product DEMO coming soon!


# Tokenomic

**$AIT** is the **native and governance** token of the AIT Protocol ecosystem, with a fixed supply of 1 billion tokens. It provides access to the AIT protocol features.&#x20;

$AIT serves as the platform currency to pay for Marketplace’s subscription fees, data processing, AI rental, and Launchpad. \
\
As of June 2024, 70.1% supply have been burned. With buyback and burn continues until supply is fixed at 20% or below.

<figure><img src="/files/MgamjRhKHI1aO4ecou7o" alt=""><figcaption></figcaption></figure>


# Revenue Sharing

Coming soon!


# Staking

Staking: <https://app.ait.tech/staking/>


# Audits

* AIT Protocol (testnet) has been audited by SolidProof&#x20;

{% embed url="<https://github.com/solidproof/projects/tree/main/AIT%20Protocol>" %}


# NFT Smart Contracts


# Mainnet

**Ethreum**

AIT NFT: 0x799Db4FE07FF6CE997cEA45514daA7337859a34b

Claim: 0xC02Ad3645F62Fb54FB4823eCDea7c25fD31fFaA5

**Binance Smart Chain**

AIT NFT: 0x799Db4FE07FF6CE997cEA45514daA7337859a34b

Claim: 0xC02Ad3645F62Fb54FB4823eCDea7c25fD31fFaA5

zkSync

AIT NFT: 0x08A085c90302E6A29910E1bD3D717a8069BF1Bf8

Claim: 0x77123b423e4Eb063b809aef45BE39BDb0B07D744

Manta

AIT NFT: 0xB3Ee30E9AF9b260E37a99735814d727b5CAD0028

Claim: 0x94Bcd876d1A8173a9eca9f80Be57906d024B5e34

CoreDAO

AIT NFT: 0x49CA21e466B942AD9d81D090A6394b4361Dbf8aa

Claim: 0x8DF306b65A3cFf8210a3F9210869C9a832B24e44

Viction

AIT NFT: 0xDF80e56054BfbC321E5fe5c6333ECcBEb934D6ec

Claim: 0x49CA21e466B942AD9d81D090A6394b4361Dbf8aa


# Token Smart Contract

Contract

Ethereum:  <https://etherscan.io/token/0x89d584A1EDB3A70B3B07963F9A3eA5399E38b136>

Dextool: <https://www.dextools.io/app/en/ether/pair-explorer/0x4e34da137f0b317c633838458e0c923a5e088752>


# Roadmap

New roadmap features upcoming AI products focusing on retails.

## **Introduction**

AIT Protocol is at the forefront of integrating artificial intelligence with blockchain technology, aiming to revolutionize data annotation and AI model training. By establishing a decentralized marketplace, we empower a global community to engage in "Train-to-Earn" tasks, thereby contributing to the advancement of AI models while earning rewards. Our innovative approach addresses the inefficiencies and high costs associated with traditional data annotation methods, fostering a transparent and reliable environment for AI development.

## Vision

To lead the AI revolution by providing top-tier data annotation services and AI model training, upholding ethical standards, and promoting innovation.

## Mission

To empower businesses and researchers by delivering precise and comprehensive data annotation services, tailored AI model training, and fostering a collaborative and accessible AI ecosystem.

## Strategic Goals

1. **Enhance Data Annotation Services:** Continuously improve the accuracy and efficiency of data annotation processes to provide high-quality training data for AI models.
2. **Expand Global Workforce Participation:** Leverage blockchain technology to create a decentralized labor market, enabling individuals worldwide to contribute to AI development and earn rewards.
3. **Foster Ethical AI Development:** Prioritize privacy and security in data annotation, ensuring compliance with ethical standards and data protection regulations.
4. **Drive Innovation and Research:** Stay at the forefront of AI research by exploring new techniques and methodologies to enhance data annotation and AI model training.
5. **Build Strategic Partnerships:** Collaborate with leading projects and organizations to expand the ecosystem and drive the adoption of AI solutions.
6. **Ensure Accessibility and Affordability:** Offer scalable solutions and free-market pricing models to make AI technology accessible to businesses and researchers of all sizes.

By achieving these goals, AIT Protocol aims to solidify its position as a leader in the AI data infrastructure space, delivering value to stakeholders and contributing to the advancement of AI technologies.

## Development Phases and Milestones

* **Phase 1: Foundational Infrastructure, API Beta Demo, and Initial Data Annotation Setup**
  * **Timeline:** Completed
  * **Objectives:**
    * Merge LogicNet’s infrastructure with SN23 for stable platform and efficient computing.
    * Launch on Bittensor mainnet, positioning LogicNet as a leader in AI-driven mathematical reasoning.
    * Release API beta demo, allowing early access for select users to interact with LogicNet’s core capabilities and gather feedback.
    * Scale community outreach and expand user base, enhancing the data annotation pipeline with synthetic data and RLHF.
  * Milestones:
    * Establish foundational API accessibility for external developers, enabling initial testing and feedback.
    * Collect early user feedback from the API demo to guide future improvements and feature expansion.
    * Set up model experimentation for validators, assessing options like Qwen2.5-32B-Instruct for efficiency and performance.
    * Broaden community engagement to gather diverse data inputs, increasing data volume for the model.

* **Phase 2: Enhanced User Access, Data Annotation Platform Development, and Labeler Onboarding**
  * **Timeline:** Q1 2025
  * **Objectives:**
    * Refine API based on beta feedback and prepare for public access.
    * Continue API development based on demo feedback, preparing for broader public API access.
    * Implement model strategies for validators, testing open-source (e.g., ZebraLogic) and closed-source (e.g., GPT-o1-mini) models.
    * Introduce competitive “moving goalposts” for validators, driving miners to fine-tune and improve models.
  * Milestones:

    * Expand functionality and usability of the API, incorporating user suggestions from the beta demo.
    * Establish a structured miner competition, improving the overall quality of responses and model refinement.

* **Phase 3: Open-Source Model Release, Full Data Annotation Platform Deployment, and Partner Expansion**
  * **Timeline:** Q2 2025
  * **Objectives:**
    * Develop and launch the data annotation platform to support labeling workflows, user management, and emission mechanisms for labelers.
    * Start onboarding labelers by establishing clear guidelines, incentive structures, and training resources.
    * Expand community outreach to increase data submissions for labeling and support a growing labeler network.
    * Launch the “Quick Calc” App to expand access to Albert App.
  * Milestones:
    * Launch a beta version of the data annotation platform with basic task management and emission functionalities.
    * Partner with companies and academic institutions to secure datasets for annotation.
    * Onboard an initial group of labelers, implement tracking systems for task completion, and set up emission rewards based on performance.

* **Phase 4: Revenue Generation, Advanced Data Annotation Capabilities, and Enterprise API Integration**
  * **Timeline:** Q3 - Q4 2025
  * **Objectives:**
    * Expand the data annotation platform with advanced features, including task prioritization, quality control, and performance-based emission rewards for labelers.
    * Onboard additional data partners to supply real-world datasets for labeling.
    * Activate data analytics in Albert App and offer enhanced API access for developer integration.
    * Finalize public API access for integration with enterprise and third-party applications.
    * Establish a real-time leaderboard system that ranks miners based on model performance, incentivizing competition within Subnet 35. This feature will reward high-ranking miners, promote continuous improvement, and foster a competitive ecosystem for model fine-tuning and data quality.
  * **Milestones:**
    * Deploy the full data annotation platform, making it available to labelers and partners.
    * Increase labeler community engagement with performance-based emissions and incentivized participation.
    * Solidify LogicNet’s ecosystem with valuable datasets, annotation tools, and a large user base.
    * Deploy the full Public API access and monetize the API platform offering premium tools for developers and businesses
    * Roll out the leaderboard to all miners, including enhanced tracking features and real-time updates.
    * Introduce a reward system tied to leaderboard rankings, such as emissions bonuses or exclusive features for top-performing miners.
    * Regularly update rankings and highlight top miners to maintain engagement and drive competition.

* **Phase 5: Revenue Generation and Advanced Platform Features**
  * **Timeline:** Q1 2026
  * **Objectives:**
    * Implement revenue-generating features, such as PDF/report reading tools, alongside an enterprise subscription model.
    * Enhance data annotation platform with advanced workflows (e.g., automated quality checks, tiered emissions based on data complexity).
    * Build long-term partnerships with companies needing regular annotation services and integrate annotation options into enterprise subscriptions.
    * Create a user-friendly fine-tuning platform that enables miners to easily adjust and enhance their models to meet the unique demands of Subnet 35. This platform will encourage competition by allowing miners to fine-tune their models, optimize performance, and achieve higher scores in LogicNet's ecosystem.
  * **Milestones:**
    * Monetize the data annotation platform, offering premium tools for data providers and increased emissions for high-value labeling tasks.
    * Position LogicNet as a go-to platform for both data annotation and analytics services.
    * Foster a sustainable data annotation ecosystem that drives continuous data flow and model enhancement, supporting LogicNet's broader mission in complex data analysis.
    * Roll out the full fine-tuning platform for all miners, including advanced tuning features and real-time performance feedback.
    * Introduce incentives for top-performing miners to encourage ongoing competition.
    * Provide support and resources to help miners maximize platform use and continuously improve their models.

## Product Development and Features

AIT Protocol's development is centered on Subnet 35, known as LogicNet, within the Bittensor ecosystem. LogicNet is dedicated to creating an open-source AI model proficient in complex mathematics and detailed data analysis, enhanced by incentivized human feedback for continuous improvement.

* **Current Features:**
  * **Subnet 35 - Competitive Miner Playground (**<http://taostats.io/subnets/35>**):** A platform allowing individuals to contribute their computational power to LogicNet AI development. This feature enables miners to participate in model training, optimization, and testing, fostering a competitive environment that drives innovation and improves the overall quality of LogicNet's AI capabilities.
  * **Albert App (**<https://albert.aitprotocol.ai>)**:** A user-friendly interface providing general knowledge responses and mathematical support. The app is currently in beta testing, with plans to expand its capabilities.
  * **Reinforcement Learning from Human Feedback (RLHF):** Active within the Albert App, this feature collects user feedback to refine and enhance model accuracy.
  * **NumPal Integration:** An LLM integration that miners can use to supercharge their mining models network-wide, achieving faster iterations at a lower cost, reduced processing time, fewer errors, and consistently higher scores than GPT-4.
  * **API Beta Demo:** Our recently released API beta demo provides early access to LogicNet’s core functionalities, allowing selected users and developers to test and interact with the model. Feedback from this demo will guide API improvements and shape the roadmap for full public API access.
* **Upcoming Features:**
  * **Chrome Extension (Quick Calc):** A convenient Chrome extension enabling natural language calculations directly in the browser, set for release by Q3 2024, providing faster access to Albert App’s capabilities.
  * **Public API Access:** Expanded based on feedback from the beta demo, the public API will be available soon, allowing developers, enterprises, and end-users to integrate LogicNet’s specialized data processing and computational reasoning into various applications.
  * **Data Analytics Visualization:** Planned for Q4 2024, this feature will integrate graphing and charting capabilities in the Albert App, facilitating more sophisticated data analysis and interpretation, particularly for complex datasets.
  * **AI-Powered Data Annotation Platform:** Development of a sophisticated platform that leverages AI to assist human annotators, increasing efficiency and accuracy in data labeling tasks.
  * **Blockchain-Based Reputation System:** Implementation of a decentralized reputation system for labelers and miners, ensuring quality contributions and fair rewards distribution.
  * **Cross-Platform Mobile App:** Expansion of Albert App's capabilities to iOS and Android platforms, providing on-the-go access to LogicNet's AI services.
  * Automated Model Evaluation Framework: Creation of a comprehensive testing suite to automatically evaluate and rank miner-submitted models, ensuring continuous improvement in AI performance.
* **Future Enhancements and Enterprise Solutions:**
  * **PDF/Report Reader:** A tool for natural language interaction with PDF documents, allowing users to generate insights and visualizations. This feature will be offered through a subscription model aimed at enterprises and research institutions.
  * **Enterprise Subscription Model:** Enabling organizations to subscribe for advanced features, such as multi-seat access and priority API support, allowing educational and corporate users to leverage Albert App at scale.
  * **Custom AI Model Development:** Tailored AI solutions for enterprise clients, allowing them to leverage LogicNet's advanced capabilities for specific industry needs and proprietary datasets.
  * **Enterprise Data Integration:** Secure API connectors and data pipelines to seamlessly integrate LogicNet's AI capabilities with existing enterprise systems and databases.
  * **Compliance and Governance Tools:** Advanced features for enterprise clients to ensure AI model outputs adhere to industry-specific regulations and internal governance policies.
  * **Scalable Infrastructure Solutions:** Cloud-based and on-premises deployment options to meet varying enterprise requirements for data security, processing power, and scalability.

## Conclusion

As we embark on this exciting journey to revolutionize AI and data analytics, AIT Protocol invites you to be part of something truly groundbreaking. Our vision for an open-source AI model capable of complex analytics is not just a technological advancement—it's a movement towards democratizing AI and empowering individuals and businesses alike.

By joining us, you're not merely using a service; you're actively shaping the future of AI. Whether you're a developer looking to push the boundaries of what's possible, a business seeking to leverage cutting-edge analytics, or an individual passionate about AI, there's a place for you in our ecosystem.

* How You Can Contribute:
  * Developers: Contribute to our codebase, help refine our models, build innovative applications on our platform, or become a miner on our Subnet 35 to actively participate in model training and optimization, while earning emissions for your contributions.
  * Enterprises: Partner with us to leverage advanced AI capabilities, driving innovation and efficiency in your operations.
  * Individual Users: Participate in our "Train-to-Earn" program, provide valuable feedback, and help improve our AI models.

Together, we can create an AI ecosystem that's not only powerful and efficient but also ethical and accessible to all. Join us in this exciting venture, earn rewards for your contributions, and be at the forefront of the AI revolution.

* **Ready to Get Started?**
  * Experience AI-powered analytics with <https://albert.aitprotocol.ai>
  * Explore our subnet 35 projects on[ ](https://github.com/LogicNet-Subnet/LogicNet) <https://github.com/LogicNet-Subnet/LogicNet>
  * Become part of our mining network on[ ](https://taostats.io/subnets/35/metagraph?order=stake:desc)<https://taostats.io/subnets/35/metagraph?order=stake:desc>


# Useful Links

Discord: <https://discord.gg/XavTVqEChu>

Telegram Group: <https://t.me/AIT_Protocol>

Telegram Announcement: <https://t.me/AITProtocol>\
\
Website: <https://ait.tech/>

Twitter: <https://twitter.com/AITProtocol>

Github: <https://github.com/AIT-Protocol>

Documentation: <https://docs.ait.tech/>

Medium: <https://medium.com/@aitprotocol>


