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链上语言模型代理的操作层控制在真实资本中的应用Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital

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以下内容为 AI 自动翻译，英文原文附后供参考。

摘要

近期研究集中于在真实资本交易环境中部署自主语言模型代理，特别是通过DX Terminal Pro平台。在为期21天的评估期间，这些代理执行了约300,000次链上操作，达到了99.9%的结算成功率。这一高可靠性水平强调了围绕语言模型的操作层在复杂交易场景中确保有效性能的重要性。研究结果表明，凭借合适的控制和基础设施，AI代理能够在高风险金融环境中成功运作。

Recent research has focused on the deployment of autonomous language-model agents in real capital trading environments, specifically through the DX Terminal Pro platform. Over a 21-day evaluation period, these agents executed approximately 300,000 onchain actions, achieving an impressive settlement success rate of 99.9%. This high level of reliability underscores the critical role of the operating layer that surrounds the language models, which is essential for ensuring effective performance in complex trading scenarios. The findings suggest that with the right controls and infrastructure, AI agents can operate successfully in high-stakes financial environments.

要点

  1. 自主语言模型代理在真实资本交易环境中可以可靠地执行任务。

    Autonomous language-model agents can perform reliably in real capital trading environments.

  2. 操作层对AI代理在金融应用中的性能和成功至关重要。

    The operating layer is crucial for the performance and success of AI agents in financial applications.

  3. 高结算成功率表明AI在交易和金融领域的更广泛应用潜力。

    High settlement success rates indicate the potential for broader applications of AI in trading and finance.

为何重要

这项研究突显了AI驱动的代理在金融交易中转变效率和可靠性的潜力，这可能导致未来更自动化和智能的交易系统。

This research highlights the potential for AI-driven agents to transform financial trading by enhancing efficiency and reliability, which could lead to more automated and intelligent trading systems in the future.

按谁的角度看

产品经理

产品经理应考虑将AI代理与强大的操作层集成的影响，以增强金融应用中的产品可靠性和用户信任。

Product managers should consider the implications of integrating AI agents with robust operating layers to enhance product reliability and user trust in financial applications.

开发者

开发人员和工程师需要专注于构建和维护支持AI代理的操作层，因为这些层对于确保现实应用中的操作成功至关重要。

Developers and engineers need to focus on building and maintaining the operating layers that support AI agents, as these layers are critical for ensuring operational success in real-world applications.

学生与求职者

对于学生和求职者来说，这项研究展示了AI在金融领域日益重要性，突显了在开发和管理能够在真实资本市场中运作的AI系统方面的机会。

For students and job-seekers, this research illustrates the growing importance of AI in finance, highlighting opportunities in developing and managing AI systems that can operate in real capital markets.

覆盖来源

来源标题与摘录保留原文，以便核对与追溯。

  • arXiv cs.AI

    Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital

    The study evaluates the reliability of autonomous language-model agents in a real capital trading environment, specifically within the DX Terminal Pro deployment. Over 21 days, the agents executed 300K onchain actions with a 99.9% settlement success rate, highlighting the importance of the operating layer around the model for effective performance.