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Coinbase 首席执行官布莱恩·阿姆斯特朗 (Brian Armstrong) 在 8 月底宣布,这笔交易涉及两个人工智能代理交易 AI 代币——允许大语言模型 (LLM) 处理和增长的数据串——而不是传统的加密代币。
Coinbase has made history by facilitating the first-ever AI-to-AI cryptocurrency transaction, marking a significant milestone in the convergence of artificial intelligence and blockchain technology.
Coinbase 通过促进首个 AI 到 AI 加密货币交易创造了历史,标志着人工智能和区块链技术融合的一个重要里程碑。
Announced by Coinbase CEO Brian Armstrong in late August, the transaction saw two artificial intelligence agents trading AI tokens—data sequences that enable large language models (LLMs) to operate and evolve—instead of conventional crypto tokens.
Coinbase 首席执行官布莱恩·阿姆斯特朗 (Brian Armstrong) 在 8 月底宣布,在该交易中,两个人工智能代理交易 AI 代币,即支持大型语言模型 (LLM) 运行和发展的数据序列,而不是传统的加密代币。
Conducted using USDC on Coinbase’s Layer 2 Base network, the development highlights the expanding potential for AI-driven transactions in the global economy.
该开发利用 USDC 在 Coinbase 的 Layer 2 Base 网络上进行,凸显了人工智能驱动的交易在全球经济中不断扩大的潜力。
Breaking Financial Barriers with AI-Driven Crypto Wallets
通过人工智能驱动的加密钱包打破财务障碍
Unlike humans, AI bots are unable to open bank accounts, a limitation that has always restricted their ability to carry out real-world tasks, such as booking travel or managing finances. However, with the integration of AI in crypto wallets, this barrier is being broken down.
与人类不同,人工智能机器人无法开设银行账户,这一限制始终限制了它们执行现实世界任务的能力,例如预订旅行或管理财务。然而,随着人工智能与加密货币钱包的集成,这一障碍正在被打破。
This innovative approach allows AI to directly interact with other AI agents, humans, or businesses holding cryptocurrency. Considering that these transactions are also free and near-instant, bypassing many of the conventional limitations of financial systems, the implications are significant.
这种创新方法允许人工智能直接与其他人工智能代理、人类或持有加密货币的企业进行交互。考虑到这些交易也是免费且近乎即时的,绕过了金融系统的许多传统限制,其影响是重大的。
In this case, the AI agents purchased additional AI tokens with the tokens, enabling them to communicate and autonomously complete tasks. The development marks a radical shift in the possible mode of operation for artificial intelligence systems going forward.
在这种情况下,人工智能代理用代币购买了额外的人工智能代币,使它们能够进行通信并自主完成任务。这一发展标志着人工智能系统未来可能的操作模式发生了根本性转变。
Eventually, the ability to independently handle transactions could see AI agents undertaking more complex operations that require payments, such as subscribing to APIs or even purchasing physical products and services.
最终,独立处理交易的能力可以让人工智能代理承担更复杂的需要支付的操作,例如订阅 API,甚至购买实体产品和服务。
Armstrong has consistently advocated for the onboarding of LLMs into the crypto economy, envisioning a future where AI agents with crypto wallets can engage more fully in everyday economic activities, ultimately enhancing their value to human users.
阿姆斯特朗一直主张让法学硕士进入加密经济,并设想未来拥有加密钱包的人工智能代理可以更充分地参与日常经济活动,最终提高其对人类用户的价值。
AI’s Growing Role in Transforming the Crypto Space
人工智能在加密货币领域变革中发挥着越来越重要的作用
Coinbase’s achievement aligns with a broader trend of AI finding applications in the crypto space. Predictive trading algorithms, autonomous decision-making on blockchain platforms, and even AI-generated assets like NFTs are just a few of the areas where AI is already being deployed.
Coinbase 的成就符合人工智能在加密领域寻找应用的更广泛趋势。预测交易算法、区块链平台上的自主决策,甚至人工智能生成的资产(如 NFT)只是人工智能已经部署的几个领域。
As the digital economy evolves, AI-driven technologies are becoming more sophisticated, presenting new opportunities for automation and efficiency in domains once governed solely by human decision-makers.
随着数字经济的发展,人工智能驱动的技术变得越来越复杂,为曾经仅由人类决策者管理的领域的自动化和效率带来了新的机遇。
Looking ahead, AI-to-AI transactions are expected to disrupt industries that rely on fast, secure, and decentralized value transfer. And as some predict that AI could assume even more advanced financial roles in the future—from processing vast volumes of transactions to managing on-chain assets autonomously—Armstrong’s call for developers to integrate AI models into crypto wallets underscores the potential for further innovation.
展望未来,人工智能对人工智能的交易预计将颠覆依赖快速、安全和去中心化价值转移的行业。正如一些人预测人工智能在未来可能扮演更先进的金融角色——从处理大量交易到自主管理链上资产——阿姆斯特朗呼吁开发人员将人工智能模型集成到加密钱包中,这突显了进一步创新的潜力。
Relatedly, there are broader implications for the integration of blockchain and AI beyond financial transactions. As reported earlier by CNF, AI is increasingly being used to detect and prevent cybercrimes, including ransomware and illicit crypto operations.
与此相关的是,区块链和人工智能的整合除了金融交易之外还有更广泛的影响。正如 CNF 早些时候报道的那样,人工智能越来越多地被用来检测和预防网络犯罪,包括勒索软件和非法加密操作。
Together with enhancing data privacy, the convergence of blockchain and AI fosters decentralization, creating a more secure and robust digital landscape.
在增强数据隐私的同时,区块链和人工智能的融合促进了去中心化,创造了一个更安全、更强大的数字环境。
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