病毒式和$病毒：通过大型动作模型的先驱分散的AI培训

不要只是寻找最受欢迎的AI加密项目；还寻求那些有基本支持的人。这是病毒式的详细分析

Viralmind is an open-source, decentralized collective intelligence platform that aims to create advanced human-assisting AI agents. Its Large Action Model (LAM) is designed to navigate and operate in digital environments in a human-like way. Utilizing keyboard input, mouse movements, and clicks, these AI agents can perform a wide range of tasks in gaming, productivity, and other creative fields.

ViralMind是一个开源的，分散的集体智能平台，旨在创建先进的人为AI代理。它的大型动作模型（LAM）旨在以人类的方式在数字环境中进行导航和操作。这些AI代理使用键盘输入，鼠标动作和点击，可以执行游戏，生产力和其他创意领域的各种任务。

To train these AI agents, users can train through Trading Gym, which effectively captures on-screen actions as training data. This information is then converted into detailed trajectories, allowing AI agents to learn and improve over time. Viralmind also introduces a data marketplace where users can trade these datasets to further enhance the overall learning capability of the system. A key innovation of Viralmind is the one-click fine-tuning feature, enabling users to customize models like GPT-4o using small datasets. This approach simplifies AI training, allowing a large number of users (even those without deep technical expertise) to benefit. The system generates structured .jsonl files that capture human behavior and comprehensive reasoning, providing high-quality data for model improvement.

为了培训这些AI代理，用户可以通过贸易体育馆进行培训，该体育馆有效地捕获了屏幕动作作为培训数据。然后将这些信息转换为详细的轨迹，使AI代理可以随着时间的推移学习和改进。 ViralMind还引入了一个数据市场，用户可以在其中交易这些数据集，以进一步增强系统的整体学习能力。病毒风格的关键创新是单击的微型调整功能，使用户能够使用小数据集自定义诸如GPT-4O之类的模型。这种方法简化了AI培训，允许大量用户（甚至没有深厚技术专长的用户）受益。该系统生成结构化的.jsonl文件，以捕获人类行为和全面的推理，从而提供了高质量的数据以改进模型。

Viralmind's LAM aims to bridge the gap between LLMs (Large Language Models) and direct computer interaction, replacing outdated OCR-based technologies. Viralmind plans to deploy agents on-chain and on desktops, aiming for seamless integration into gaming, enterprise software, and blockchain applications. Viralmind is supported by its native token, VIRAL, which incentivizes users to provide high-quality training data, participate in competitions, and foster the growth of Viralmind's expanding AI ecosystem.

ViralMind的LAM旨在弥合LLM（大语言模型）与直接计算机交互之间的差距，以取代过时的基于OCR的技术。 ViralMind计划计划在链上和台式机上部署代理商，旨在将无缝集成到游戏，企业软件和区块链应用程序中。 ViralMind由其本地令牌Viral提供支持，该病毒疗法激励用户提供高质量的培训数据，参与竞争并促进ViralMind扩展的AI生态系统的增长。

Viralmind reinvests the revenue generated from large models into marketing and development, creating an efficient and self-sustaining economy that rewards contributors and supports the platform's long-term growth.

ViralMind将大型模型产生的收入重新投资到营销和开发中，创造了一个高效且自我维持的经济，从而奖励贡献者并支持该平台的长期增长。

Products/Services

产品/服务

Viralmind's main product is VM-1, a LAM that reacts to human behavior in digital environments. As an advanced LAM, VM-1 enables AI agents to play games, complete tasks, and navigate complex interfaces through smooth, human-like interactions.

Viralmind的主要产品是VM-1，这是对数字环境中人类行为的反应的LAM。作为先进的LAM，VM-1使AI代理可以通过平滑的，类似的人类互动来玩游戏，完成任务并导航复杂的接口。

The VM-1 ecosystem will have two distinct tiers:

VM-1生态系统将有两个不同的层次：

Open-source small models: These models are compact and efficient, catering to developers looking to enhance existing pipelines by replacing OCR modules. They can serve as plug-and-play extensions for any LLM, enhancing functionality without the need for extensive LAM training.

开源小型型号：这些模型紧凑且高效，可满足希望通过更换OCR模块来增强现有管道的开发人员。它们可以用作任何LLM的插件扩展，从而提高功能，而无需大量的LAM培训。

Base LAM via API: The large VM-1 model provided through API has been trained on millions of data points, suitable for a variety of applications ranging from gaming and work automation to streaming. Its usage is powered by the VIRAL token, with fees reinvested into marketing and growth, ensuring the ecosystem's self-sustainability.

BASE LAM通过API：通过API提供的大型VM-1模型已接受了数百万个数据点的培训，适用于从游戏和工作自动化到流媒体的各种应用程序。它的用法由病毒令牌提供动力，并将费用重新投资到营销和增长中，从而确保了生态系统的自我可持续性。

Viralmind has also established strategic partnerships with game studios, enterprise software providers, and crypto platforms to expand the reach of VM-1. These collaborations will integrate VM-1's capabilities into a broader AI ecosystem, enhancing the adoption and potential of the agent framework.

ViralMind还与游戏工作室，企业软件提供商和加密平台建立了战略合作伙伴关系，以扩大VM-1的影响力。这些合作将将VM-1的功能集成到更广泛的AI生态系统中，从而增强了代理框架的采用和潜力。

Why Choose VM-1?

为什么选择VM-1？

Community Sentiment

社区情绪

Viralmind has not achieved viral marketing like other projects. It does not have a Discord but has a Telegram channel with over 1.1K members. The existing community has a deep understanding of Viralmind's products. Viralmind is currently not listed on GoatIndex but is listed on Cookie.fun.

ViralMind没有像其他项目那样实现病毒营销。它没有不和谐，但具有超过1.1k成员的电报频道。现有社区对病毒式产品有深刻的了解。 ViralMind目前尚未在GoatIndex上列出，但在Cookie.Fun上列出。

Market Analysis

市场分析

Having large datasets is fundamental to training AI models. Viralmind is at the core of this training while incentivizing user participation, effectively allowing training to occur on a broader scale while also highly personalizing it for individual users. AI agents and models can typically be trained through centralized methods, but this limits AI's ability to understand users' highly concentrated needs. Furthermore, centralized AI training models absorb the biases of the institutions/organizations/individuals that build them. This is where decentralized AI training models like Viralmind are needed.

拥有大数据集对于培训AI模型至关重要。 ViralMind是这项培训的核心，同时激励用户参与，有效地允许更广泛的规模进行培训，同时对单个用户进行高度个性化的个性化。 AI代理和模型通常可以通过集中式方法进行培训，但是这限制了AI了解用户高度集中需求的能力。此外，集中的AI培训模型吸收了建立它们的机构/组织/个人的偏见。在这里，需要分散的AI训练模型（例如病毒式）。

Viralmind is not the only project building distributed AI training.

ViralMind并不是唯一分发AI培训的项目大楼。

FLock.io is also building customizable and highly centralized AI models that can be trained by users. They have a similar community-involved AI training model where users can help train AI models on Flock. These models can then be commissioned by individuals or organizations. In this case, the FLOCK token has similar utility to the VIRAL token.

Flock.io还正在构建可以由用户培训的可定制和高度集中的AI模型。他们具有类似的社区涉及的AI培训模型，用户可以帮助羊群培训AI模型。这些模型然后可以由个人或组织委托。在这种情况下，羊群具有与病毒令牌相似的效用。

Sapien AI also offers the ability for participating users to train AI models. In return, these users receive rewards. However, unlike Viralmind, Sapien provides AI training LLMs aimed at institutions/enterprises.

Sapien AI还提供了参与用户培训AI模型的能力。作为回报，这些用户会获得奖励。但是，与ViralMind不同，Sapien提供针对机构/企业的AI培训LLM。

Prime Intellect is similar in that it brings together researchers, users, and anyone interested in training AI models. It allows anyone to contribute capital, computation, or code to build these models. However, unlike Viralmind, Prime Intellect seems to limit the users who can join in training AI models.

Prime智力是相似的，因为它汇集了研究人员，用户以及对培训AI模型有兴趣的任何人。它允许任何人贡献资本，计算或代码来构建这些模型。但是，与ViralMind不同，主要的智力似乎限制了可以加入培训AI模型的用户。

DecentrAI also offers decentralized training. Users can take on responsibilities such as training models and quality checking. DecentrAI is still in the development stage.

分散者还提供分散的培训。用户可以承担诸如培训模型和质量检查之类的责任。分散者仍处于发展阶段。

Prometheus-X also contributes to decentralized AI training. However, this solution is not based on blockchain

Prometheus-X也有助于分散的AI培训。但是，该解决方案不基于区块链