NeurochainAI：重构企业与人工智能系统交互的方式

众所周知，自从 OpenAI 的法学硕士几年前推出以来，人工智能 (AI) 一词已进入主流术语。

With the launch of OpenAI’s LLM a couple of years ago, the term artificial intelligence (AI) has entered mainstream parlance. And it shows no sign of slowing down.

随着几年前 OpenAI 法学硕士课程的推出，人工智能 (AI) 一词已进入主流术语。而且没有任何放缓的迹象。

A report by Big 4 consulting giant McKinsey & Co. shows that interest in AI tech domains (such as generative AI) has increased by a staggering 6300%.

四大咨询巨头麦肯锡公司的一份报告显示，人们对人工智能技术领域（例如生成式人工智能）的兴趣增加了惊人的 6300%。

This explosive growth is further backed by a surge in investment pouring into this space, with researchers noting a sharp jump from $4 billion in 2019 to a whopping $36 billion last year.

这一爆炸性增长得到了涌入该领域的投资激增的进一步支持，研究人员指出，投资额从 2019 年的 40 亿美元大幅跃升至去年的 360 亿美元。

And not only that—AI-related job postings have also increased by an impressive 111% between 2022 and 2023.

不仅如此，2022 年至 2023 年间，与人工智能相关的职位发布数量也增加了 111%，令人印象深刻。

So, as AI continues to permeate various facets of our daily lives — from healthcare and finance to education and entertainment — there is a growing need for decentralized AI systems that are trustworthy, unbiased, and secure.

因此，随着人工智能继续渗透到我们日常生活的各个方面——从医疗保健和金融到教育和娱乐——对值得信赖、公正和安全的去中心化人工智能系统的需求日益增长。

Enter NeurochainAI, a project that has rapidly gained traction thanks to its Decentralized AI as a Service (DAIAS) framework, designed to help restructure the way in which businesses (of any size) and communities around the world can interact with AI systems.

NeurochainAI 是一个项目，由于其去中心化人工智能即服务 (DAIAS) 框架而迅速获得关注，该框架旨在帮助重组世界各地的企业（任何规模）和社区与人工智能系统交互的方式。

At the heart of NeurochainAI’s innovative approach lies a unique consensus mechanism that combines Proof of Work (PoW) and Proof of Stake (PoS) — aptly named Proof of Work through Staking (PoWtS).

NeurochainAI 创新方法的核心在于一种独特的共识机制，它结合了工作量证明 (PoW) 和权益证明 (PoS)——恰当地称为通过权益证明的工作量证明 (PoWtS)。

This hybrid model plays a crucial role in ensuring trust and fairness in AI task validation within the platform’s decentralized infrastructure.

这种混合模型在确保平台去中心化基础设施内人工智能任务验证的信任和公平性方面发挥着至关重要的作用。

From the outside looking in, NeurochainAI’s infrastructure leverages the power of two main layers: the Layer-1 (L1) NCN Chain and the Layer-3 (L3) NCN AI.

从外部看，NeurochainAI 的基础设施利用了两个主要层的力量：第 1 层 (L1) NCN 链和第 3 层 (L3) NCN AI。

To elaborate, the L1 NCN Chain serves as the project’s foundational basis, helping manage and store validation information on mined and burned coins for activities that occur on its L3.

详细来说，L1 NCN 链作为该项目的基础，帮助管理和存储 L3 上发生的活动的开采和燃烧代币的验证信息。

On the other hand, the L3 NCN AI houses all the project’s AI-related features, including its decentralized GPU network, AI model marketplace, and AI dApp store.

另一方面，L3 NCN AI 包含了该项目所有与 AI 相关的功能，包括去中心化 GPU 网络、AI 模型市场和 AI dApp 商店。

However, the magic happens when NeurochainAI’s two nodes, i.e., L1 Neuron Validator Nodes and L3 AI Mining Nodes, interact with one another.

然而，当 NeurochainAI 的两个节点（即 L1 神经元验证节点和 L3 AI 挖矿节点）相互交互时，奇迹就会发生。

The Neuron Validator Nodes act as lite validators, confirming and batching the work done on the L3 for transaction execution on the L1, whereas the AI Mining Nodes perform the actual AI computations on the L3.

神经元验证器节点充当精简验证器，确认并批处理在 L3 上完成的工作，以便在 L1 上执行事务，而 AI 挖掘节点则在 L3 上执行实际的 AI 计算。

Moreover, it is during these interactions that the aforementioned PoWtS mechanism comes into play.

此外，正是在这些交互过程中，上述 PoWtS 机制发挥了作用。

When an AI Mining Node receives a task, it processes the message and computes the response — similar to cryptographic calculations on a regular PoW blockchain.

当人工智能挖矿节点收到任务时，它会处理消息并计算响应 - 类似于常规 PoW 区块链上的加密计算。

This compute acts as a PoW on the NCN AI L3 and must be validated by Neuron Validator Nodes through PoS on NCN Chain L1.

该计算充当 NCN AI L3 上的 PoW，并且必须由神经元验证器节点通过 NCN 链 L1 上的 PoS 进行验证。

AI Mining Nodes receive rewards for the AI computations performed on the decentralized physical infrastructure network (DePIN), while Neuron Validator Nodes receive rewards for mining new coins to validate these responses and filter out bad actors.

人工智能挖矿节点因在去中心化物理基础设施网络（DePIN）上执行的人工智能计算而获得奖励，而神经元验证器节点则因挖掘新硬币以验证这些响应并过滤掉不良行为者而获得奖励。

From the outside looking in, NeurochainAI’s PoWtS mechanism prevents malicious activities and ensures accurate attribution of rewards to deserving participants.

从外部看，NeurochainAI 的 PoWtS 机制可以防止恶意活动，并确保将奖励准确分配给应得的参与者。

By requiring Neuron Validator Nodes to stake tokens, the system creates a financial incentive for them to act honestly.

通过要求神经元验证器节点抵押代币，系统为他们诚实行事提供了经济激励。

Any attempt to validate incorrect computations or collude with malicious AI Mining Nodes puts the participant’s stake at risk.

任何验证错误计算或与恶意人工智能挖矿节点串通的尝试都会使参与者的权益面临风险。

Such a novel design also maximizes the reliability and accuracy of task validation in several ways.

这种新颖的设计还通过多种方式最大限度地提高了任务验证的可靠性和准确性。

Firstly, validators with a significant stake are more likely to act in the network’s best interest to protect their investment, ensuring a high degree of security.

首先，拥有大量股份的验证者更有可能以网络的最佳利益为出发点来保护他们的投资，从而确保高度的安全性。

Similarly, the PoWtS module ensures that rewards are distributed fairly based on the actual work performed and validated.

同样，PoWtS 模块确保根据实际执行和验证的工作公平分配奖励。

Lastly, by involving its community in its native validation process, NeurochainAI leverages collective intelligence to maintain high standards of data accuracy and model performance.

最后，通过让社区参与其本机验证过程，NeurochainAI 利用集体智慧来维持高标准的数据准确性和模型性能。

NeurochainAI is on the path to creating this fair validation process through launching its Token Generation Event (TGE) last Friday, August 9th, with its $NCN token becoming available.

NeurochainAI 正在通过于 8 月 9 日上周五启动其代币生成活动 (TGE) 来创建这个公平的验证流程，并推出 $NCN 代币。

This token launch will be immediately followed and supported by the introduction of node staking to foster network decentralization with a fair way to grow a validator network.

此次代币发布后，将立即引入节点质押并提供支持，以促进网络去中心化，并以公平的方式发展验证器网络。

While NeurochainAI’s approach is unique, it’s worth noting that other projects in the decentralized artificial intelligence (DE-AI) space are also exploring innovative ways to ensure trust and fairness.

虽然 NeurochainAI 的方法很独特，但值得注意的是，去中心化人工智能 (DE-AI) 领域的其他项目也在探索确保信任和公平的创新方法。

For instance, SingularityNET leverages its AGIX token to purchase AI services, participate in network governance, and stake for network consensus.

例如，SingularityNET 利用其 AGIX 代币来购买人工智能服务、参与网络治理并为网络共识提供权益。

Fetch.ai employs a Useful Proof-of-Work (UPoW) consensus mechanism and uses its FET token for transactions, accessing machine learning utilities, and staking for network validation.

Fetch.ai 采用有用的工作量证明 (UPoW) 共识机制，并使用其 FET 代币进行交易、访问机器学习实用程序以及进行网络验证。

Finally, BitTensor uses a Proof of Intelligence (PoI) consensus mechanism

最后，BitTensor 使用了智力证明（PoI）共识机制