管道本身。 Bittensor 有很大的想象空间，但也面临着很多挑战。 输出： 标题：Bittensor：去中心化的 AI 基础设施

Bittensor 是一种去中心化的人工智能基础设施，人工智能开发人员使用它来构建和部署机器学习模型或其他人工智能相关的开发。

the productivity improvement brought by AI technology and the improvement of people's lives.output:Preface

人工智能技术带来的生产力提升和人们生活的改善输出：前言

With the progress of data, computing power, and algorithm research in recent years, AI development has made great breakthroughs, especially the emergence of OpenAI GPT-4. The arrival of the basic LLM large model represented by it has promoted the improvement of productivity and the transformation of social efficiency.

近年来，随着数据、计算能力、算法研究的进步，AI发展取得了巨大突破，尤其是OpenAI GPT-4的出现。以它为代表的基础LLM大模式的到来，推动了生产力的提升和社会效率的转变。

However, the disadvantages of these closed-source large models represented by GPT-4 have also been revealed, namely, centralized models usually have restrictions on third-party integrations, which undermines the scalability and interoperability of AI agents based on centralized models.

然而，以GPT-4为代表的这些闭源大型模型的缺点也暴露出来，即中心化模型通常对第三方集成有限制，这损害了基于中心化模型的AI代理的可扩展性和互操作性。

Therefore, large open source models such as the Llama series have been sought after by more and more researchers, but open source does not mean transparency, and it also faces many challenges.

因此，像Llama系列这样的大型开源模型受到了越来越多研究者的追捧，但开源并不意味着透明，也面临着诸多挑战。

The main difficulty is that for most contributors, open source AI development does not have any economic incentives. Even if there are some competition rewards, these are usually one-off. Subsequent improvement and development work still needs to be done out of love. Unless it reaches a certain scale and has a large community of followers, there will be more possibilities for income and more contributors to continue to improve.

主要困难在于，对于大多数贡献者来说，开源人工智能开发没有任何经济激励。即使有一些比赛奖励，这些通常也是一次性的。后续的改进和开发工作还是需要出于爱心来完成。除非达到一定规模，拥有庞大的追随者社区，才会有更多的收入和更多的贡献者继续提升的可能性。

Therefore, the Bittensor AI project attempts to use web3 token mining to make open source AI development more sustainable, verifiable and efficient. Through Yuma Consensus, we introduce and align resources and research miners, validators, and AI project subnet creators, making the entire AI research more transparent and decentralized. Anyone can participate in AI contributions and win the rewards they deserve.

因此，Bittensor AI项目尝试利用web3代币挖矿，让开源AI开发更加可持续、可验证、高效。通过Yuma共识，我们引入并整合资源以及研究矿工、验证者和AI项目子网创建者，使整个AI研究更加透明和去中心化。任何人都可以参与人工智能贡献并赢得应有的奖励。

The performance of tokens in the secondary market also confirms people’s expectations. The price has increased from more than 50 US dollars in September 2023 to more than 500 yuan in December 2024, a 10-fold increase!

代币在二级市场的表现也印证了人们的预期。价格从2023年9月的50多美元涨到2024年12月的500多元，涨幅达10倍！

Recently, Bittensor’s investor and founder of Digital Currency Group established Yuma, an accelerator dedicated to incubating subnet projects within the Bittensor ecosystem, and served as its CEO, demonstrating his confidence in and potential for the Bittensor project.

近日，Bittensor的投资人、数字货币集团创始人成立了致力于孵化Bittensor生态内子网项目的加速器Yuma，并担任其CEO，展现了他对Bittensor项目的信心和潜力。

Of course, the success of any project cannot be without doubts. Bittensor has also had a lot of FUD since its inception. In this article, we summarize many questions that have not been fully answered, and try to understand Bittensor's future positioning and possibilities in the decentralized AI track through research and analysis.

当然，任何项目的成功都不可能毫无疑问。 Bittensor 自成立以来也有很多 FUD。在这篇文章中，我们总结了许多尚未完全解答的问题，并试图通过研究和分析来了解Bittensor在去中心化AI赛道上的未来定位和可能性。

What is Bittensor?

什么是比特张量？

Founded in 2021 by a team from Toronto, Canada, including Jacob Robert Steeves, Ala Shaabana, and Garrett Oetken, Bittensor is a decentralized AI infrastructure used by AI developers to build and deploy machine learning models or other AI-related developments. Many Web3 AI projects, whether or not they already have their own blockchain, can access Bittensor's blockchain "subtensor" and become one of its subnets.

Bittensor 由来自加拿大多伦多的团队于 2021 年创立，成员包括 Jacob Robert Steeves、Ala Shaabana 和 Garrett Oetken，是一个去中心化的 AI 基础设施，供 AI 开发人员用来构建和部署机器学习模型或其他 AI 相关开发。许多Web3 AI项目，无论是否已经拥有自己的区块链，都可以访问Bittensor的区块链“子张量”并成为其子网之一。

What is a Subnet?

什么是子网？

Subnets form the core of the Bittensor ecosystem. Each Bittensor subnet is an independent incentive-based competitive market. Anyone can create a subnet, customize the tasks to be performed by the subnet, and design an incentive mechanism (in the machine learning analogy, the incentive mechanism can be understood as a target loss function that can guide model training towards the desired results). You only need to pay a registration fee (in TAO) to create a subnet, and you can get a netuid for the subnet. Note that a subnet creator does not need to assume the operating tasks within the subnet, but transfers the right to operate the subnet tasks to others.

子网构成了 Bittensor 生态系统的核心。每个Bittensor子网都是一个独立的基于激励的竞争市场。任何人都可以创建一个子网，定制子网要执行的任务，并设计激励机制（在机器学习类比中，激励机制可以理解为目标损失函数，可以指导模型训练达到期望的结果）。您只需要支付注册费（以TAO形式）即可创建子网，并且可以获得该子网的netuid。需要说明的是，子网创建者并不需要承担子网内的操作任务，而是将子网任务的操作权转让给他人。

The task of operating the subnet provides another way for others to participate, that is, to join an existing subnet. If you join an existing subnet, there are two ways to participate: as a subnet miner or a subnet validator. In addition to paying the registration fee denominated in TAO (if you are a validator, you also need to stake TAO), he only needs to provide a computer with sufficient computing resources, and register the computer and his wallet to a subnet, and run the subnet miner module or subnet validator module provided by the subnet builder on this computer (both modules are Python code in the Bittensor API).

操作子网的任务为其他人提供了另一种参与方式，即加入现有子网。如果您加入现有子网，有两种参与方式：作为子网矿工或子网验证者。除了支付以TAO计价的注册费（如果你是验证者，还需要质押TAO），他只需要提供一台具有足够计算资源的计算机，并将计算机和他的钱包注册到一个子网，并运行该计算机上的子网构建器提供的子网挖掘器模块或子网验证器模块（这两个模块都是 Bittensor API 中的 Python 代码）。

How does the competitive market for subnets work?

子网竞争市场如何运作？

Here’s how the subnet competition works: Let’s say you decide to become a subnet miner. The subnet validator will assign you some tasks to complete. Other miners in the subnet will also receive tasks of the same type. After all subnet miners complete their tasks, they submit the results to the subnet validator.

子网竞争的运作方式如下：假设您决定成为子网矿工。子网验证器将为您分配一些任务来完成。子网中的其他矿工也会收到相同类型的任务。所有子网矿工完成任务后，将结果提交给子网验证器。

Subnet validators will then evaluate and rank the quality of the tasks submitted by the subnet miners. As a subnet miner, you will be rewarded (in TAO) based on the quality of your work. Similarly, other subnet miners will also receive corresponding rewards based on their performance. At the same time, subnet validators will also be rewarded for ensuring that high-quality subnet miners receive better rewards, thereby

然后，子网验证器将对子网矿工提交的任务的质量进行评估和排名。作为子网矿工，您将根据您的工作质量获得奖励（以 TAO 形式）。同样，其他子网矿工也会根据表现获得相应的奖励。同时，子网验证者也将因确保优质子网矿工获得更好的奖励而获得奖励，从而