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Coinbase 執行長布萊恩·阿姆斯壯(Brian Armstrong) 在8 月底宣布,這筆交易涉及兩個人工智慧代理交易AI 代幣——允許大語言模型(LLM) 處理和增長的數據串——而不是傳統的加密代幣。
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 透過促進第一個 AI 到 AI 加密貨幣交易創造了歷史,標誌著人工智慧和區塊鏈技術融合的一個重要里程碑。
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 執行長布萊恩·阿姆斯壯(Brian Armstrong) 在8 月底宣布,在該交易中,兩個人工智慧代理交易AI 代幣,即支援大型語言模型(LLM) 運行和發展的數據序列,而不是傳統的加密代幣。
Conducted using USDC on Coinbase’s Layer 2 Base network, the development highlights the expanding potential for AI-driven transactions in the global economy.
該開發利用 USDC 在 Coinbase 的 Layer 2 Base 網路上進行,凸顯了人工智慧驅動的交易在全球經濟中不斷擴大的潛力。
Breaking Financial Barriers with AI-Driven Crypto Wallets
透過人工智慧驅動的加密錢包打破財務障礙
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.
與人類不同,人工智慧機器人無法開設銀行帳戶,這一限制始終限制了它們執行現實世界任務的能力,例如預訂旅行或管理財務。然而,隨著人工智慧與加密貨幣錢包的集成,這一障礙正在被打破。
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.
這種創新方法讓人工智慧直接與其他人工智慧代理商、人類或持有加密貨幣的企業進行互動。考慮到這些交易也是免費且近乎即時的,繞過了金融體系的許多傳統限制,其影響是重大的。
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.
在這種情況下,人工智慧代理用代幣購買了額外的人工智慧代幣,使它們能夠進行通訊並自主完成任務。這一發展標誌著人工智慧系統未來可能的操作模式發生了根本性轉變。
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.
最終,獨立處理交易的能力可以讓人工智慧代理承擔更複雜的需要支付的操作,例如訂閱 API,甚至購買實體產品和服務。
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.
阿姆斯壯一直主張讓法學碩士進入加密經濟,並設想未來擁有加密錢包的人工智慧代理商可以更充分地參與日常經濟活動,最終提高其對人類用戶的價值。
AI’s Growing Role in Transforming the Crypto Space
人工智慧在加密貨幣領域變革中的作用日益增強
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 的成就符合人工智慧在加密領域尋找應用的更廣泛趨勢。預測交易演算法、區塊鏈平台上的自主決策,甚至人工智慧產生的資產(如 NFT)只是人工智慧已經部署的幾個領域。
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.
隨著數位經濟的發展,人工智慧驅動的技術變得越來越複雜,為曾經僅由人類決策者管理的領域的自動化和效率帶來了新的機會。
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.
展望未來,人工智慧對人工智慧的交易預計將顛覆依賴快速、安全和去中心化價值轉移的產業。正如一些人預測人工智慧在未來可能扮演更先進的金融角色——從處理大量交易到自主管理鏈上資產——阿姆斯壯呼籲開發人員將人工智慧模型整合到加密錢包中,這突顯了進一步創新的潛力。
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.
與此相關的是,區塊鏈和人工智慧的整合除了金融交易之外還有更廣泛的影響。正如 CNF 早些時候報導的那樣,人工智慧越來越多地被用來檢測和預防網路犯罪,包括勒索軟體和非法加密操作。
Together with enhancing data privacy, the convergence of blockchain and AI fosters decentralization, creating a more secure and robust digital landscape.
在增強資料隱私的同時,區塊鏈和人工智慧的整合促進了去中心化,創造了一個更安全、更強大的數位環境。
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