什么是Bittensor（Tao）？

Bittensor通过开发由区块链动力并受激励措施驱动的分散的AI网络来挑战集中的AI系统。陶是本地令牌

Bittensor is aiming to build a decentralized AI network with blockchain and token incentives, in contrast to the dominant centralized systems like OpenAI's ChatGPT.

Bittensor的目标是与Openai的Chatgpt（例如Openai的Chatgpt）相比，使用区块链和代币激励措施来建立一个分散的AI网络。

Key Takeaways:

关键要点：

Bittensor's goal is to create a decentralized network of AI systems that operate like a global brain or ‘Neural Network’, which allows AI systems to learn from each other and evolve collectively.

Bittensor的目标是建立一个像全球大脑或“神经网络”一样运行的AI系统的分散网络，该网络使AI系统可以相互学习并集体发展。

The Yuma Consensus evaluates the contributions of network participants by aggregating evaluations assigned by validators to miners. Those who contribute more effectively to the network's intelligence are rewarded accordingly.

YUMA共识通过汇总验证者分配给矿工的评估来评估网络参与者的贡献。那些对网络智能做出更有效贡献的人会得到相应的奖励。

The TAO token is used for registration, staking, and as payment for services within the network, facilitating all economic activities on Bittensor.

TAO令牌用于注册，积分和作为网络中的服务付款，从而促进了Bittensor上的所有经济活动。

The Role of Decentralized AI in the Future of Technology

分散AI在技术未来的作用

Over the last two years, artificial intelligence has progressed at an unprecedented rate but at the same time raised serious concerns around issues like data ownership, algorithmic bias, and centralized control.

在过去的两年中，人工智能以前所未有的速度发展，但与此同时，人们对数据所有权，算法偏见和集中控制等问题引起了严重的关注。

Several projects are innovating at the intersection of AI and blockchain to help build a more open and trustworthy AI ecosystem.

在AI和区块链的交集中，有几个项目正在创新，以帮助建立一个更开放和值得信赖的AI生态系统。

“The discovery problem is happening with AI right now—you have something that was inherently based on sharing information, sharing research, sharing science. It (was) completely open and (is) now closed into five companies, and these five companies are building tools that we will all become entirely dependent upon; and because they're so complicated, we have no idea how to verify the correctness. We have no idea to verify how they work, what they're actually doing. And because we become so dependent on them, if you let just a few months or a few years go by it becomes too late because those dependencies are so strong so I think it really important that we have an open source alternative to these closed companies.”

“发现问题现在正在与AI一起发生 - 您本质上是基于共享信息，共享研究，共享科学的东西。它完全开放了，现在（现在）将五家公司关闭，这五家公司正在建立我们都完全依赖的工具，我们都会变得非常依赖；并且因为它们是如此复杂，因为他们不知道您如何验证他们的问题，所以我们可以验证自己的工作，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式，因为他们的工作方式。几个月或几年的时间已经太晚了，因为这些依赖性非常强大，因此我认为我们对这些封闭的公司有一个开源替代方案非常重要。”

Jack Dorsey & Lyn Alden | The Power of Open Source

杰克·多尔西（Jack Dorsey）和林恩·奥尔登（Lyn Alden）|开源的力量

Bittensor Network: The Neural Internet with Subnet Architecture

Bittensor网络：带子网结构的神经互联网

Bittensor operates as a decentralized network of AI models, where miners run AI models across 93 subnets to compete based on specific criteria. Subnets on Bittensor are specialized mini-networks that focus on specific AI tasks, where models compete for rewards (TAO) based on performance, and their performance is assessed and ranked by validators.

Bittensor作为AI模型的分散网络运行，矿工在93个子网上运行AI模型以根据特定标准竞争。 BITTENSOR上的子网是专门的迷你网络，专注于特定的AI任务，在该任务中，模型基于性能竞争奖励（TAO），其性能将由验证者评估和排名。

The subnets handle tasks such as text generation, image generation, text-to-speech, and model fine-tuning as we will see below.

该子网处理诸如文本生成，图像生成，文本到语音和模型微调之类的任务，如下所示。

The core idea is that monetary incentives will naturally attract the top-performing models and innovators to the most relevant subnets, which creates a "horse racing for AI models" environment.

核心思想是，货币激励措施自然会吸引最重要的模型和创新者进入最相关的子网，从而创造了“为AI模型的赛马”环境。

Bittensor is an ideal platform for projects looking to solve computationally expensive AI problems with a high demand. Some advantages of building on Bittensor include:

BITTENSOR是寻求解决需求较高的计算昂贵的AI问题的项目的理想平台。 BITTENSOR建设的一些优势包括：

The verification system, which ensures the accuracy and quality of the AI-generated data through the miner-validator loop.

验证系统可确保通过矿工涉足器环路的AI生成数据的准确性和质量。

The ability to deliver cost-effective solutions by replacing human annotators with LLMs.

通过用LLM替换人类注释者来提供具有成本效益的解决方案的能力。

The potential for monetization of the digital commodity.

数字商品货币化的潜力。

Those who contribute more effectively to the network's intelligence are rewarded accordingly.

那些对网络智能做出更有效贡献的人会得到相应的奖励。

Why Bittensor Matters

为什么Bittensor很重要

Bittensor was founded on the idea that anyone with specialised resources and knowledge could contribute to decentralized AI. At the same time, by creating competition within its ecosystem, Bittensor ensures that only the most efficient, reliable, and innovative subnets are rewarded with more TAO tokens, while subnets with lower performance receive less TAO tokens and may even be removed from the network.

Bittensor建立在这样的想法中，任何具有专业资源和知识的人都可以为分散的AI做出贡献。同时，通过在其生态系统中创建竞争，Bittensor确保只有最有效，最可靠和创新的子网才能获得更多的TAO令牌，而性能较低的子网则获得较少的TAO令牌，甚至可以将其从网络中删除。

One key element of Bittensor is its decentralized nature, which reduces the risk of a single entity controlling the flow of information and censoring content. While centralized platforms are currently acting in ‘good faith’, they remain opaque, and there's always the possibility that this could change in the future.

BITTENSOR的一个关键要素是其分散的性质，它降低了控制信息流和审查内容的单个实体的风险。尽管集中式平台目前正在以“诚信”为首，但它们仍然不透明，并且总是有可能在未来发生变化。

A decentralized environment like Bittensor could offer a higher degree of censorship resistance, which is a significant selling point as mainstream AI platforms become increasingly trained to avoid sensitive topics or provide biased responses. We understand that the value of an alternative AI solution that tells the "truth" becomes exponentially higher.

像BITTENSOR这样的分散环境可以提供更高程度的审查制度抵抗力，这是一个重要的卖点，因为主流AI平台越来越受过训练，以避免敏感的主题或提供有偏见的响应。我们了解到，讲述“真相”的替代AI解决方案的价值变得指定更高。

How Bittensor Works

Bittensor的工作原理

The Bittensor ecosystem consists of a diverse range of participants, all of whom help to ensure that the best AI models rise to the top.

Bittensor生态系统由各种各样的参与者组成，所有参与者都有助于确保最佳的AI模型上升到最高。

Subnet owners: Individuals or organizations that devise the model for their subnet, its incentive mechanism, and develop the code for both miners and validators.

子网所有者：为其子网设计模型的个人或组织，其激励机制，并为矿工和验证者制定代码。

Miners: Miners that host the AI models available to the subnet, and are responsible for processing queries and generating knowledge. They receive TAO based on their contributions to the network.

矿工：托管子网可用的AI模型的矿工，并负责处理查询和生成知识。他们根据对网络的贡献而收到陶。

Validators: Validators act as evaluators within the network, assessing the quality and effectiveness of AI models when managing user requests.

验证者：验证者充当网络中的评估者，在管理用户请求时评估AI模型的质量和有效性。

Delegators: Delegators can stake TAO to a validator to receive a share of rewards earned by the validator.

代表人：代表们可以将tao放到验证者身上，以获得验证者获得的奖励。

Consumers: Consumers are end-users that query the network, and pay for this information with TAO.

消费者：消费者是查询网络的最终用户，并与Tao付款。

What Are Subnets on Bittensor?

Bittensor上的子网是什么？

Bittensor is a Layer 1 blockchain with subnets

BITTENSOR是带子网的1层区块链