Detailed explanation of Viralm: Using the decentralized AI training protocol of large mobile models

Original title: "Viralmind and $ Viral: Pioneering Decentralized AI Training with Large Action Models"

Author:emperor osmo

Compilation: Felix, Panews

Don't just look for the most popular AI encryption projects, but also to find projects with fundamental support. The following is a detailed analysis of Viralmind, including the services, basic principles provided by it, and financial and market analysis of Viral token.

summary

• Viralmin builds a large -scale mobile model (LAM), which can effectively enhance the human -computer interaction in the digital environment. LAMS can be regarded as a digital tool, which can actually use computers, websites, and documents to perform the same operation as you.
• Viralmind is building a decentralized AI training ecosystem to allow training its AI agent. This can eliminate the inherent prejudice of centralized AI training models, and provide these agents with highly native and highly concentrated data sets for training.
• The core of Viralmind is the VIRAL tokens, which can be obtained through DEX, or can be obtained when training LAM on Viralmind.
• Viralmin is on the edge of AI ecosystems and markets that are expected to reach trillion US dollars. The value of artificially trained AI models is $ 60 million or more per year.

Overview

Viralmind is an open source, decentralized collective intelligent platform that aims to truly transform AI agents into human assistants. In short, it is an agent that can run similar to humans in any digital environment. The Lam of Viralmind is designed to navigate and operate the digital environment in a similar mankind. By using keyboard input, mouse movement, and click, these AI agents can perform extensive tasks in games, productivity and other creative fields.

In order to train AI agents, users can train through Trading Gym, which can effectively use the action on the screen as training data. This information is then converted into detailed trajectory, so that the AI ​​agent can learn and improve over time. Viralmin also introduced a data market that users can trade these data sets in them to further enhance the overall learning ability of the system. A key innovation of Viralmind is one-click fine-tuning function. Users can use small data sets to customize GPT-4O and other models. This method simplifies AI training, so that a large number of users (even users who do not even have deep technical knowledge) can benefit from it. The system generates a structured .jsonl file, which can capture human behavior and comprehensive reasoning, providing high -quality data for model improvement.

The Lam of Viralmind is designed to bridge the gap between LLM (large language model) and the direct interaction of the computer to replace the outdated OCR -based technology. Viralmind plans to deploy agents on the chain and Desktops, which aims to seamlessly integrate into games, corporate software and blockchain applications. Viralmind is supported by its original currency Viral. The token inspiration users provide high -quality training data, participate in competitions, and promote the development of the continuously growing AI ecosystem of Viralmind.

Viralmind puts the revenue generated by large models into marketing and development, creating an efficient and self -sufficient economy, reward contributors and support the long -term growth of the platform.

Product/service

The main product of Viralmind is VM-1, which is a Lam with human behavior in the digital environment. As an advanced LAM, VM-1 enables AI proxies to play games, complete tasks, and browse complex interfaces through smooth, human interactive interaction.

VM-1 ecology will have two different levels:

Open source small models: These models are compact and efficient, which can meet the needs of developers in existing pipelines by replacing the OCR module. They can be used as an extension of any LLM, and they can enhance their functions without conducting comprehensive LAM training.

Basic LAM through API: Large VM-1 models provided by APIs have been trained by millions of training, and are suitable for various applications from games and work automation to streaming media. It is supported by Viral tokens, and the cost will be re -invest in marketing and growth to ensure that the ecosystem is self -maintained.

Viralmin has also established a strategic partnership with game studios, corporate software providers and encryption platforms to expand the coverage of VM-1. These cooperation will integrate the function of VM-1 into a wider range of AI ecosystems, thereby enhancing the adoption and potential of the agency framework.

Why choose VM-1?

• For gamers: VM-1 proxy can seamlessly play games with users, participate in cooperation, competition or creative games. Users can use personalized data to train their agents to master specific games, types, or strategies.
• For professionals: VM-1 can replace repeated manual tasks, such as form filling and document processing, simplifying the workflow in the actual scenario.
• For developers: Developers who lack resources to train complete LAM can use the smaller model of VM-1 to upgrade existing tools and frameworks. In addition, Viralmin allows users to train their AI agents to bridge the gap between text -based LLM -based LLM and real -world computer interaction.

Community emotions

Viralmin does not implement viral marketing like other projects. Viralmind does not have Discord, but there is a Telegram channel, and the number of members exceeds 1.1K. The existing community has a deep understanding of Viralmin's products. Viralmin is currently not listed on Goatindex, but on cookie.fun.

Market analysis

Having a large data set is the basis for training AI models. Viralmind is the core of this training, which motivates users to participate, effectively allows training to conduct in a wider range, and at the same time, it also highly primhesizes it to individual users. AI agents and models can usually be trained through centralized methods, but this limits AI to understand the ability of users to highly concentrate needs. In addition, the centralized AI training model will also absorb the prejudice of institutions/organizations/individuals that build it. This is where decentralized AI training models need to be decentralized like Viralmind. Viralmin is not the only project that builds distributed AI training.

FLOCK.IO is also constructing a customized and highly concentrated AI model that can be trained by user training. They have a similar, community participating AI training model, and users can help train AI models on FLOCK. These models can then be commissioned by individuals or organizations. In this case, the FLOCK tokens are similar to the practicality of the Viral token.

SAPIEN AI also provides the ability to participate in user training AI models. In return, these users can get rewards. But unlike Viralmind, Sapien provides an AI training LLM for institutions/enterprises.

Prime Intellect is similar to gathered researchers, users, and anyone who is interested in training AI models. It allows anyone to contribute capital, calculations or code to build these models. However, in contrast to Viralmind, Prime Intellect seems to have limited users who can join the training AI model.

Decentrai also provides decentralized training. Users can bear the responsibilities of training models and quality inspection. DECENTRAI is still in the development stage.

Prometheus-X also helps decentralize AI training. But this solution is not based on blockchain technology. They are also at a very primary stage that depends on users to decentralize AI training.

Looking at the existing small AI training pattern, you can understand the needs and importance of decentralized AI training models. Even some larger LLMS projects have reached an agreement with Reddit to use its content and data to train the model. These transactions are more than $ 60 million per year. Therefore, the market size of the AI ​​training model is huge and demand is growing.

Estimated the potential market size of Viralmind:

Although the entire AI market is worth millions of dollars, Viralmind only occupies a relatively small but very important part -training. Its LAM will also play a key role in shaping human future interaction with AI, especially interaction with AI agents. By 2030, the AI ​​agency market is expected to increase to $ 47 billion.

Even if only 1%of the market is occupied, it means $ 470 million. In addition, the market value of decentralized AI ecology is only $ 6 billion, and it is expected to grow rapidly.

Financial analysis

The core of the Viralmind protocol is Viral token. The following are the two main functions:

• LAM training incentive mechanism for users
• Viral tokens pledged to participate in the competition

As a part of training these models, the issued VIRAL tokens can be further used to participate in free or pledge competitions. In the former, users get rewards from the Training Gym library. These rewards are then distributed to users who complete the task. In the pledge competition, users can get:

Reward = (the total pledge of the user's deposit+ the confiscated pledge of the loser) -5-10% of the agreement cost, the fee will be sent to their vault.

In addition, users must retain a certain number of Viral tokens in their wallets to participate in free competitions. This adds another layer of effectiveness to the Viral token.

Viral tokens details:

• Circulation supply: 965,888,531
• Maximum supply: 1,000,000,000,000
• Market value: $ 14 million
• Total number of holders: 3,000
• Smart wallet holder: 5
• KOL/VC wallet holder: 22
• Whale: 86

AI market leader AIXBT tokens details:

• Market value: $ 573 million
• Circulation supply: 855,612,732
• Maximum supply: 1,000,000,000,000

Viral / AIXBT's market value ratio is 2.4%

Considering its limited share in a wider range of AI ecology, the market ratio of 2.4% is "healthy" when the project has just started. In addition, the pressure of non-circulating tokens accounted for only 3-4%of the total pressure. This highlights the strong fundamentals of Viral tokens and further enhances its performance in the next few weeks.