BITTENSOR：分散AI基础设施的尖端

随着人工智能对全球数字经济的核心越来越重要，分散的替代方案开始挑战公司主导的AI发展的主导地位。

Samuel Altman, CEO of privately owned artificial intelligence company, OpenAI (Photo by Win McNamee)

Openai私有人工智能公司首席执行官Samuel Altman（Win McNamee的照片）

As artificial intelligence becomes increasingly central to the global digital economy, decentralized alternatives are beginning to challenge the dominance of corporate-led AI development.

随着人工智能对全球数字经济的核心越来越重要，分散的替代方案开始挑战公司主导的AI发展的主导地位。

Among the most promising is Bittensor, a blockchain-based machine learning network that allows anyone to contribute to and profit from AI innovation.

最有前途的是Bittensor，这是一个基于区块链的机器学习网络，它允许任何人为AI创新做出贡献和获利。

As reported by Coinbase, the network offers an estimated annual reward rate of 17.52%, making it a cutting-edge technological platform and an attractive economic opportunity.

正如Coinbase报道的那样，该网络的年度奖励率估计为17.52％，使其成为尖端的技术平台和有吸引力的经济机会。

Blockchain-Powered Peer-to-Peer AI Network

区块链驱动的对等AI网络

Bittensor functions as both a blockchain and a peer-to-peer AI platform, enabling the creation, evaluation, and monetization of digital commodities such as AI inference, training, and storage.

Bittensor既可以充当区块链和对等AI平台，从而实现了数字商品（例如AI推理，培训和存储）的创建，评估和货币化。

A core innovation of Bittensor is its subnet architecture. Modular, independent communities within the network that focus on specific digital commodities.

Bittensor的核心创新是其子网结构。网络中专注于特定数字商品的模块化独立社区。

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Subnets Power Bittensor’s AI Economy with Flexible TAO Incentives

子网电源Bittensor的AI经济具有灵活的TAO激励措施

Each subnet operates autonomously, establishing its unique incentive structures and performance benchmarks. Contributors, known as miners, compete to solve AI-related tasks ranging from translation to large language model inference. Their outputs are evaluated by validators, who rank the quality of each submission.

每个子网都可以自主运行，建立了其独特的激励结构和性能基准。贡献者被称为矿工，竞争解决与AI相关的任务，从翻译到大型语言模型推断。他们的输出由验证者评估，后者对每个提交的质量进行排名。

Seth Bloomberg, an investment partner at Crucible Labs, told Forbes, “Crucible acts as a validator—not a subnet—unlike inference-focused subnets such as Manifold or Chutes.”

坩埚实验室的投资合作伙伴塞思·彭博（Seth Bloomberg）告诉《福布斯》（Forbes）：“坩埚作为验证者（而不是子网）无类似以推理为重点的子网（例如歧管或溜槽）。”

While subnets ensure data accuracy and model performance, Bloomberg emphasized that harmful or illicit content must be moderated at the application layer.

虽然子网确保数据的准确性和模型性能，但彭博（Bloomberg）强调必须在应用层进行有害或非法内容。

He also noted that there is “no inherent advantage to being an early subnet,” especially following the Dynamic TAO upgrade, which allows the open market to determine the value of each subnet.

他还指出，“成为早期子网没有固有的优势”，尤其是在动态tao升级之后，这使公开市场可以确定每个子网的价值。

Previously, all rewards were distributed exclusively in TAO tokens. With the introduction of Dynamic TAO, each subnet now has its unique token, which miners receive as a reward.

以前，所有奖励仅在道令牌中分发。随着Dynamic Tao的引入，每个子网现在都具有其独特的令牌，矿工将获得奖励。

Bloomberg says that today, Bittensor hosts over 80 subnets, from experimental projects refining their incentive mechanisms to mature systems actively generating revenue and serving end users.

彭博社说，今天，Bittensor托管了80多个子网，从实验项目完善其激励机制到成熟的系统，积极产生收入并为最终用户服务。

Rewards Are Based On Useful AI Work, Not Hash Power

奖励是基于有用的AI工作，而不是哈希力量

This model redefines what it means to “mine” in the blockchain context.

该模型重新定义了在区块链上下文中“矿山”的含义。

Rather than validating blocks through cryptographic puzzles as seen in Bitcoin, miners in Bittensor produce tangible, valuable digital work.

Bittensor中的矿工并没有通过比特币中的加密难题来验证块，而是产生了有形的，有价值的数字作品。

The economic incentives are substantial. With TAO emitted daily, participants, which include miners, validators, and subnet creators, can earn real income based on their contributions.

经济激励措施是巨大的。随着TAO每天发出的，包括矿工，验证者和子网创建者在内的参与者可以根据他们的贡献来赚取真正的收入。

Participation is merit-based.

参与是基于功绩的。

Underperformers may be de-registered and required to re-enter the system. This ensures that performance, not capital or central authority, dictates success.

表现不佳的人可能会被取消注册并重新进入系统。这样可以确保绩效而不是资本或中央权威决定成功。

According to Bittensor’s whitepaper, the system includes strong safeguards against collusion and manipulation. Rewards are distributed based on consensus-based rankings. This rewards only peers whose evaluations align with the broader network.

根据Bittensor的白皮书，该系统包括防止勾结和操纵的强大保障措施。奖励是根据基于共识的排名分配的。这只会奖励其评估与更广泛网络保持一致的同行。

Decentralized Alternative to Big AI

大型AI的分散替代品

As decentralized AI gains momentum, Bittensor stands out for its transparency, openness, and potential to democratize access to machine learning.

随着分散的AI获得势头，Bittensor脱颖而出，因为其透明度，开放性和潜力来使获得机器学习的机会民主化。

In contrast to centralized platforms like OpenAI or Google, where access is gated, and development occurs behind closed doors, Bittensor enables global collaboration through an open-source protocol.

与OpenAI或Google等集中式平台（在封闭情况下发生访问权限）相反，Bittensor可以通过开源协议实现全球协作。

With growing concerns about centralized AI’s ethical and regulatory pitfalls, ranging from data privacy to monopolistic control, Bittensor’s model offers a compelling alternative.

随着对集中式AI的道德和监管陷阱的关注，从数据隐私到垄断控制，Bittensor的模型提供了令人信服的替代方案。

As the protocol continues to evolve, it promises to scale intelligence in a decentralized manner and ensures that the ownership and benefits of AI remain in the hands of the many, not the few.

随着协议的继续发展，它有望以分散的方式扩展情报，并确保AI的所有权和利益保留在许多而不是少数人的手中。