人工智能与区块链的融合正在迎来令人兴奋的技术创新新时代

如今，如果有一种技术能够像人工智能一样令人兴奋，那么它一定是区块链。

Artificial intelligence (AI) has been making waves in recent times, especially with the emergence of ChatGPT. However, there is another technology that has been generating a lot of excitement for much longer - blockchain.

人工智能（AI）近年来掀起了波澜，尤其是随着 ChatGPT 的出现。然而，还有另一种技术长期以来一直令人兴奋——区块链。

The buzz around blockchain started way back when Bitcoin first made its mark on the world in the early part of the last decade. Now, as the two fastest-growing technologies in the industry intersect, we have good reason to think there’ll soon be even more excitement, for this can provide a number of benefits.

围绕区块链的热潮可以追溯到上个十年初期比特币首次在世界上留下印记时。现在，随着行业中发展最快的两种技术的交叉，我们有充分的理由认为很快就会更加令人兴奋，因为这可以带来许多好处。

In a recent report, the analyst firm Nansen forecasts that AI agents may ultimately become the primary users of blockchain technology. Because blockchain is decentralized, it allows AI systems to run in a more secure and transparent way, bringing key advantages to data management.

分析公司 Nansen 在最近的一份报告中预测，人工智能代理可能最终成为区块链技术的主要用户。由于区块链是去中心化的，它允许人工智能系统以更安全和透明的方式运行，为数据管理带来关键优势。

For instance, blockchain can provide AI with a tamper-proof record of data transactions, therefore improving its credibility and reliability. In addition, it can assist with the transparent sharing of data among AI systems, which is essential for training and enhancing the underlying AI models.

例如，区块链可以为人工智能提供数据交易的防篡改记录，从而提高其可信度和可靠性。此外，它还可以协助人工智能系统之间透明地共享数据，这对于训练和增强底层人工智能模型至关重要。

The integration of AI and blockchain is not just some far off concept. In fact, it’s something that’s unfolding as we speak. As a result, some interesting projects are starting to take off. Here are five of the most promising AI blockchain projects to keep an eye on in 2023:

人工智能与区块链的融合不仅仅是一个遥远的概念。事实上，就在我们说话的时候，这件事正在展开。结果，一些有趣的项目开始启动。以下是 2023 年最值得关注的 5 个最有前途的人工智能区块链项目：

1. Qubic

1. 库比克

There has been a lot of concern about the centralized nature of popular AI models such as OpenAI’s ChatGPT and Google’s Gemini, highlighting the need for more transparent alternatives, and that is what Qubic is working on.

人们对 OpenAI 的 ChatGPT 和 Google 的 Gemini 等流行人工智能模型的中心化性质存在很多担忧，强调需要更透明的替代方案，而这正是 Qubic 正在努力的方向。

Qubic is at the forefront of the decentralized AI movement, having built a unique, quorum-based computational network to facilitate more transparent data sharing and training.

Qubic 处于去中心化人工智能运动的前沿，它构建了一个独特的、基于群体的计算网络，以促进更透明的数据共享和培训。

Unlike Bitcoin, which uses a proof-of-work consensus algorithm and essentially wastes all of the computing power generated by its network, Qubic aims to leverage this energy to do something more useful. Its Useful Proof-of-Work consensus mechanism allows network nodes to provide computational power to AI applications.

与比特币不同的是，比特币使用工作量证明共识算法，本质上浪费了其网络产生的所有计算能力，而 Qubic 的目标是利用这种能量来做一些更有用的事情。其有用的工作量证明共识机制允许网络节点为人工智能应用程序提供计算能力。

It essentially recycles the energy resources used to mine QUBIC tokens and process transactions, so it can be used by AI developers who need access to low cost infrastructure to train AI models. It can be thought of as an AI cloud server network, with the advantage being that it’s more affordable, and more transparent than traditional GPU-based networks.

它本质上是回收用于开采 QUBIC 代币和处理交易的能源，因此需要访问低成本基础设施来训练人工智能模型的人工智能开发人员可以使用它。它可以被认为是一个人工智能云服务器网络，其优点是比传统的基于 GPU 的网络更便宜、更透明。

In addition, Qubic also facilitates data sharing, enabling anyone to upload training datasets that can be used by AI model makers to train new algorithms. The QUBIC token plays an important role in this network, as it’s what’s used by AI developers to pay for access to Qubic’s network and its training datasets.

此外，Qubic 还促进数据共享，使任何人都可以上传训练数据集，AI 模型制作者可以使用这些数据集来训练新算法。 QUBIC 代币在该网络中发挥着重要作用，因为人工智能开发人员使用它来支付访问 Qubic 网络及其训练数据集的费用。

Node operators are rewarded with the prospects of mining new QUBIC tokens. As well as training AI models, Qubic’s resources can be used for AI inference, processing tasks such as problem solving, natural language processing and image recognition.

节点运营商将获得挖掘新 QUBIC 代币的前景。除了训练人工智能模型外，Qubic 的资源还可用于人工智能推理、问题解决、自然语言处理和图像识别等处理任务。

What’s more, as the network crunches these tasks, it slowly but surely accumulates more knowledge, which it shares with the AI applications it hosts, making them ever-more powerful. Its ultimate goal is to become the foundation of “general artificial intelligence” models that can work autonomously, without the need for human input.

更重要的是，当网络处理这些任务时，它会缓慢但肯定地积累更多知识，并与它托管的人工智能应用程序共享这些知识，使它们变得更加强大。其最终目标是成为“通用人工智能”模型的基础，该模型可以自主工作，无需人工输入。

2. Render Network

2. 渲染网络

As the name suggests, Render Network is all about providing computational power for AI rendering, and it does this in a decentralized way using blockchain. It’s paving the way for the distribution and management of AI rendering tasks, providing the resources needed to make high-quality, photorealistic image creation available to everyone in a cost-effective way. It’s targeting industries such as gaming, movies, architecture and more.

顾名思义，渲染网络就是为人工智能渲染提供计算能力，它使用区块链以去中心化的方式实现这一点。它为 AI 渲染任务的分配和管理铺平了道路，提供了所需的资源，以经济高效的方式为每个人提供高质量、逼真的图像创建。它的目标行业包括游戏、电影、建筑等。

Key to Render Network is the RNDR token, which is used by network participants to pay for access to GPU-based rendering services. The computational power can be supplied by anyone with a GPU. They simply connect their laptop or PC to the network, and whenever it’s sitting idle, it will make those resources available for others to use.

渲染网络的关键是 RNDR 代币，网络参与者使用该代币来支付基于 GPU 的渲染服务的访问费用。任何拥有 GPU 的人都可以提供计算能力。他们只需将笔记本电脑或 PC 连接到网络，每当它闲置时，就会将这些资源提供给其他人使用。

In some ways, Render Network is similar to GPU mining, with the aim being to maximize the efficiency of GPUs, which often spend hours sitting idle, doing nothing, when their owners are not using their computers. It enables GPU owners to monetize those resources, and those who need to power rendering workloads have access to a more affordable alternative to cloud-hosted GPU services.

在某些方面，渲染网络类似于 GPU 挖掘，其目的是最大限度地提高 GPU 的效率，当其所有者不使用计算机时，GPU 经常闲置数小时，无所事事。它使 GPU 所有者能够将这些资源货币化，而那些需要为渲染工作负载提供动力的人可以获得云托管 GPU 服务的更实惠的替代方案。

As the demand for AI-generated content increases, Render can play a key role in facilitating cost-effective access to decentralized rendering services.

随着对人工智能生成内容的需求增加，渲染可以在促进经济高效地访问去中心化渲染服务方面发挥关键作用。

3. Fetch.ai

3.Fetch.ai

Fetch.ai is combining blockchain with AI to power what it believes will eventually become a vibrant economy for autonomous digital twins. Its network powers “Autonomous Economic Agents” that can perform a range of different tasks in the digital world, for individuals and businesses.

Fetch.ai 正在将区块链与人工智能相结合，为它相信最终将成为自主数字双胞胎的充满活力的经济提供动力。其网络为“自治经济代理”提供支持，可以在数字世界中为个人和企业执行一系列不同的任务。

Examples include AI agents that can manage supply chain logistics, or a digital assistant that works to schedule client appointments. With its machine

例如，可以管理供应链物流的人工智能代理，或者可以安排客户预约的数字助理。以其机器