人工智慧與區塊鏈：風險與回報結合的變革聯盟

人工智慧和區塊鏈的交叉激發了冒險進入人工智慧代幣高風險領域的投資者的興奮。儘管許多專案可能會失敗，但人工智慧/區塊鏈領域已經出現了一些成熟的參與者。儘管有巨大收益的潛力，但所涉及的風險也同樣巨大。建議投資者在這個新興且快速發展的行業中保持謹慎並管理預期。

AI and Blockchain: A Revolutionary Fusion with Immense Potential and Risks

人工智慧和區塊鏈：具有巨大潛力和風險的革命性融合

The convergence of artificial intelligence (AI) and blockchain technology has ushered in an era of transformative opportunities for investors willing to navigate the inherent risks. While the crypto landscape is replete with projects destined to fail, a select few established players have gained a foothold in the AI/blockchain space.

人工智慧（AI）和區塊鏈技術的整合為願意應對固有風險的投資者帶來了一個充滿變革機會的時代。儘管加密貨幣領域充滿了注定失敗的項目，但少數幾家成熟的參與者已經在人工智慧/區塊鏈領域站穩了腳跟。

The Bull Case for AI on Blockchains

區塊鏈上人工智慧的牛市案例

AI and blockchain possess the transformative power to revolutionize our digital interactions and shape the global economy. The decentralized nature of blockchain, coupled with the autonomy of AI models, promises to enhance productivity, reduce costs, and streamline multiple industries. Early investment in the right combination of AI and blockchain technology and its associated token may yield significant returns in the future.

人工智慧和區塊鏈擁有變革性的力量，可以徹底改變我們的數位互動並塑造全球經濟。區塊鏈的去中心化性質，加上人工智慧模型的自主性，可望提高生產力、降低成本並簡化多個產業。對人工智慧和區塊鏈技術及其相關代幣的正確組合的早期投資可能會在未來產生可觀的回報。

The Bear Case for AI on Blockchains

區塊鏈上人工智慧的熊市案例

Rapid advancements in AI have propelled it to the forefront of technological discourse. However, while certain use cases demonstrate the value of combining AI with blockchain technology, their number remains limited compared to the hype surrounding them. Many AI token projects espouse objectives that are either impractical or excessively ambitious, posing significant risks. In some instances, projects merely attach the concept of AI to their offerings to generate interest without delivering substantial AI features. This approach portends a short-lived market sector, primarily driven by hype.

人工智慧的快速進步已將其推至技術討論的最前沿。然而，雖然某些用例展示了人工智慧與區塊鏈技術相結合的價值，但與周圍的炒作相比，它們的數量仍然有限。許多人工智慧代幣計畫所擁護的目標要么不切實際，要么過於雄心勃勃，帶來重大風險。在某些情況下，項目只是將人工智慧概念附加到其產品中以引起興趣，而沒有提供實質的人工智慧功能。這種方法預示著一個短暫的市場領域，主要由炒作驅動。

Top AI Tokens and Coins

頂級 AI 代幣和硬幣

Bittensor (TAO)

位張量 (TAO)

Bittensor is an ambitious AI blockchain project conceived in 2019. Its goal is to establish a decentralized marketplace where individuals can seamlessly trade computing resources in exchange for rewards.

Bittensor是2019年構思的一個雄心勃勃的人工智慧區塊鏈專案。

Native Token

原生代幣

The native token of the Bittensor project is TAO, which serves as the reward token for participants in the following blockchain activities:

Bittensor專案的原生代幣是TAO，它作為以下區塊鏈活動參與者的獎勵代幣：

• Miners who contribute computing resources to AI subnets
• Validators who stake TAO to validate transactions and ensure network security

Render Network (RNDR)

為 AI 子網路貢獻運算資源的礦工抵押 TAO 來驗證交易並確保網路安全的驗證者渲染網路 (RNDR)

Render Network, founded by Otoy in 2016 and officially launched in 2020, is a blockchain project that harnesses idle graphics processors (GPUs) to provide cloud-based rendering services. It recently transitioned from the Polygon blockchain to Solana, facilitating upgrades in tokenomics and other features.

Render Network由Otoy於2016年創立，並於2020年正式推出，是利用閒置圖形處理器（GPU）提供基於雲端的渲染服務的區塊鏈專案。它最近從 Polygon 區塊鏈過渡到 Solana，促進了代幣經濟和其他功能的升級。

Native Token

原生代幣

RNDR/RENDER is the native token of the Render Network. It exists as RNDR on Ethereum/Polygon and RENDER on Solana. Its use cases include staking for validator services and rewarding node operators who provide GPU services to the network.

RNDR/RENDER 是渲染網路的原生代幣。它在以太坊/Polygon 上以 RNDR 形式存在，在 Solana 上以 RENDER 形式存在。其用例包括驗證器服務的質押以及獎勵向網路提供 GPU 服務的節點營運商。

The Graph (GRT)

圖表 (GRT)

The Graph is a well-respected blockchain project launched on Ethereum in 2018. Despite not being an AI token project per se, it plays a vital role in indexing blockchain data, making it readily accessible for Web3 developers.

The Graph 是2018 年在以太坊上推出的一個備受推崇的區塊鏈項目。開發人員可以輕鬆存取這些數據。

Native Token

原生代幣

GRT, the native token of The Graph protocol, incentivizes network participants such as indexers, curators, and delegators. It also serves as the protocol's governance token.

GRT 是 The Graph 協議的原生代幣，它激勵網路參與者，例如索引者、管理者和委託者。它也充當協議的治理代幣。

Fetch.ai (FET)

Fetch.ai (FET)

Fetch.ai is another ambitious project aiming to create a decentralized network of AI services. It envisions a platform where users can procure "AI Agents" to execute various online tasks autonomously.

Fetch.ai 是另一個雄心勃勃的項目，旨在創建一個去中心化的人工智慧服務網路。它設想了一個平台，用戶可以在其中購買「人工智慧代理」來自主執行各種線上任務。

Native Token

原生代幣

FET, the native token of the Fetch.ai protocol on Ethereum, primarily serves as a payment mechanism for AI Agent services and rewards for participants such as data providers and node operators.

FET 是以太坊上 Fetch.ai 協議的原生代幣，主要作為 AI Agent 服務的支付機制以及對數據提供者和節點運營商等參與者的獎勵。

Other Promising AI/Blockchain Projects

其他有前途的人工智慧/區塊鏈項目

• Ocean Protocol (OCEAN): An ecosystem for exchanging data on the blockchain, providing AI/ML developers with high-quality data sets.
• Numerai (NMR): A blockchain protocol owned by a hedge fund that hosts data science tournaments to improve investment returns.
• Injective (INJ): A DeFi-focused Layer-1 blockchain employing AI elements to enhance the accuracy and efficiency of financial applications.
• SingularityNET (AGIX): A marketplace for creating, sharing, and selling AI services and tools.

Investment Strategies for AI Tokens

Ocean Protocol (OCEAN)：用於在區塊鏈上交換資料的生態系統，為AI/ML 開發人員提供高品質的資料集。舉辦數據科學錦標賽以提高投資回報。和工具的市場。

Investing in AI tokens requires a similar approach to regular tokens. Due diligence and rational decision-making are paramount, avoiding impulsive investments driven by market sentiment or hype.

投資人工智慧代幣需要採用與普通代幣類似的方法。盡職調查和理性決策至關重要，避免受市場情緒或炒作驅動的衝動投資。

Due Diligence

盡職調查

Beyond token market cap, consider the following factors before investing:

除了代幣市值之外，投資前還應考慮以下因素：

• Use Case: Evaluate whether the project offers a superior solution to real-world problems.
• Developers: Assess the credibility and experience of the team behind the AI token.
• Collaborations: Seek evidence of strategic partnerships with reputable organizations.
• Community: Determine the level of developer engagement on the platform and in related online communities.
• Competition: Analyze the competitive landscape and identify any potential rivals.

Diversification

用例：評估專案是否為現實問題提供了卓越的解決方案。開發人員的水平平台和相關線上社群的參與度。

AI tokens represent a high-risk investment category within the crypto market. A conservative approach is recommended, limiting AI token investments to a fraction of your overall crypto portfolio.

AI代幣代表了加密貨幣市場中的高風險投資類別。建議採取保守的方法，將人工智慧代幣投資限制在整個加密貨幣投資組合的一小部分。

Risks Associated with AI Tokens

與 AI 代幣相關的風險

Hype: Crypto markets are susceptible to hype-driven narratives that may not align with reality. The recent AI boom has fueled speculation in many AI tokens.

炒作：加密貨幣市場很容易受到炒作驅動的敘述的影響，而這些敘述可能與現實不符。最近的人工智慧熱潮引發了對許多人工智慧代幣的猜測。

Feasibility: While there are instances where combining AI and blockchain can be valuable, widespread adoption is still distant. Projects face significant technical and regulatory hurdles.

可行性：雖然在某些情況下，人工智慧和區塊鏈的結合可能很有價值，但廣泛採用仍然遙遠。項目面臨重大的技術和監管障礙。

Regulations: AI technology and blockchain are both subject to evolving regulations, posing additional risks for AI token investors.

法規：人工智慧技術和區塊鏈都受到不斷變化的法規的約束，這給人工智慧代幣投資者帶來了額外的風險。

Investor Takeaway

投資者要點

The AI-blockchain ecosystem is in its infancy, marked by extreme market volatility, rapidly evolving technology, and potential compliance issues. AI tokens carry significant risk, even within the volatile crypto investment space.

人工智慧區塊鏈生態系統正處於起步階段，其特點是市場劇烈波動、技術快速發展以及潛在的合規問題。即使在波動較大的加密貨幣投資領域，人工智慧代幣也存在巨大風險。

To mitigate risks, adopt a highly conservative strategy. Conduct thorough research, avoid hype-based investments, and limit your exposure to AI tokens within your crypto portfolio. Remember, stable, long-term investing can help you navigate the choppy waters of the crypto world.

為了降低風險，請採取高度保守的策略。進行徹底的研究，避免基於炒作的投資，並限制您在加密貨幣投資組合中接觸人工智慧代幣。請記住，穩定的長期投資可以幫助您在加密世界的波濤洶湧中航行。