人工智慧與區塊鏈的融合正在迎來令人興奮的技術創新新時代

如今，如果有一種技術能夠像人工智慧一樣令人興奮，那麼它一定是區塊鏈。

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.

人工智慧（AI）近年來掀起了波瀾，尤其是隨著 ChatGPT 的出現。然而，還有另一種技術長期以來一直令人興奮——區塊鏈。

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.

圍繞區塊鏈的熱潮可以追溯到上個十年初期比特幣首次在世界上留下印記時。現在，隨著行業中發展最快的兩種技術的交叉，我們有充分的理由認為很快就會更加令人興奮，因為這可以帶來許多好處。

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 在最近的報告中預測，人工智慧代理可能最終成為區塊鏈技術的主要用戶。由於區塊鏈是去中心化的，它允許人工智慧系統以更安全和透明的方式運行，為資料管理帶來關鍵優勢。

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，區塊鏈可以為人工智慧提供數據交易的防篡改記錄，從而提高其可信度和可靠性。此外，它還可以協助人工智慧系統之間透明地共享數據，這對於訓練和增強底層人工智慧模型至關重要。

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:

人工智慧與區塊鏈的融合不僅僅是一個遙遠的概念。事實上，就在我們說話的時候，這件事正在發生。結果，一些有趣的項目開始啟動。以下是 2023 年最值得關注的 5 個最有前景的人工智慧區塊鏈項目：

1. Qubic

1. 庫比克

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.

人們對 OpenAI 的 ChatGPT 和 Google 的 Gemini 等流行人工智慧模型的中心化性質存在著許多擔憂，強調需要更透明的替代方案，而這正是 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 處於去中心化人工智慧運動的前沿，它建立了一個獨特的、基於群體的運算網絡，以促進更透明的資料共享和培訓。

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.

與比特幣不同的是，比特幣使用工作量證明共識演算法，本質上浪費了其網路產生的所有運算能力，而 Qubic 的目標是利用這種能量來做一些更有用的事情。其有用的工作量證明共識機制允許網路節點為人工智慧應用程式提供運算能力。

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.

它本質上是回收用於開採 QUBIC 代幣和處理交易的能源，因此需要訪問低成本基礎設施來訓練人工智慧模型的人工智慧開發人員可以使用它。它可以被認為是一個人工智慧雲端伺服器網絡，其優點是比傳統的基於 GPU 的網路更便宜、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 還促進資料共享，使任何人都可以上傳訓練資料集，AI 模型製作者可以使用這些資料集來訓練新演算法。 QUBIC 代幣在該網路中發揮著重要作用，因為人工智慧開發人員使用它來支付存取 Qubic 網路及其訓練資料集的費用。

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.

節點營運商將獲得挖掘新 QUBIC 代幣的前景。除了訓練人工智慧模型外，Qubic 的資源還可用於人工智慧推理、問題解決、自然語言處理和圖像識別等處理任務。

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，當網路處理這些任務時，它會緩慢但肯定地累積更多知識，並與它託管的人工智慧應用程式共享這些知識，使它們變得更加強大。其最終目標是成為「通用人工智慧」模型的基礎，該模型可以自主工作，無需人工輸入。

2. Render Network

2. 渲染網絡

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.

顧名思義，渲染網路就是為人工智慧渲染提供運算能力，它使用區塊鏈以去中心化的方式來實現這一點。它為 AI 渲染任務的分配和管理鋪平了道路，提供了所需的資源，以經濟高效的方式為每個人提供高品質、逼真的圖像創建。它的目標產業包括遊戲、電影、建築等。

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.

渲染網路的關鍵是 RNDR 代幣，網路參與者使用該代幣來支付基於 GPU 的渲染服務的存取費用。任何擁有 GPU 的人都可以提供運算能力。他們只需將筆記型電腦或 PC 連接到網絡，只要它閒置，這些資源就會可供其他人使用。

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，渲染網路類似於 GPU 挖掘，其目的是最大限度地提高 GPU 的效率，當其所有者不使用電腦時，GPU 經常閒置數小時，無所事事。它使 GPU 所有者能夠將這些資源貨幣化，而需要為渲染工作負載提供動力的人可以獲得雲端託管 GPU 服務的更實惠的替代方案。

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

隨著對人工智慧生成內容的需求增加，渲染可以在促進經濟高效地存取去中心化渲染服務方面發揮關鍵作用。

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 正在將區塊鏈與人工智慧相結合，為它相信最終將成為自主數位雙胞胎的充滿活力的經濟提供動力。其網路為「自治經濟代理」提供支持，可以在數位世界中為個人和企業執行一系列不同的任務。

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，可以管理供應鏈物流的人工智慧代理，或者可以安排客戶預約的數位助理。以其機器