Zohran Mamdani Just Inherited the NYPD Surveillance State
The article explores the growing role of advanced surveillance technologies in New York City’s police department, highlighting concerns over privacy and civil liberties. It examines how the NYPD has...
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AI Code Generation: The Productivity Paradox in Software Development
The integration of AI into software development has sparked debate about its impact on developer productivity. While AI tools promise to speed up coding tasks, recent studies show a...
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The Tech Landscape of 2026: What Developers Need to Learn Now
This article outlines the key trends shaping the future of software development in 2026, emphasizing the shift from coding to system design and integration. Developers are expected to adapt...
Read moreBlood Tests for Alzheimer’s Are Here
The US Food and Drug Administration approved a new blood test for Alzheimer’s, developed by Roche, which measures a specific form of the tau protein in the blood. This...
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Top Takeaways From Devoxx Belgium 2025
The article highlights the key takeaways from Devoxx Belgium 2025, an important Java and AI conference. It covers AI advancements, software architecture, and security topics, with a special mention...
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A New Light-Based Cancer Treatment Kills Tumor Cells and Spares Healthy Ones
A groundbreaking light-based cancer treatment has been developed by researchers from the University of Texas at Austin and the University of Porto in Portugal. This method uses tin oxide...
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OpenAI Signs $38 Billion Deal With Amazon
OpenAI has entered a significant partnership with Amazon, securing $38 billion in AWS cloud infrastructure to support its AI models. This agreement highlights the growing integration of major tech...
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What Is Agent Observability? Key Lessons Learned
本文由Lior Gavish撰写，探讨了代理可观测性的概念及其在实际应用中的重要性。当代理进入生产环境并成为业务运营的关键部分时，评估其可靠性的能力变得至关重要。生产级代理必须被观察，以确保其功能被采用并为用户提供预期价值。文章还讨论了如何定义失败、评估代理性能以及监控代理的挑战。对于数据+AI团队来说，代理可观测性是确保系统稳定性和效率的重要工具。 Key facts 代理可观测性旨在减少和最小化停机时间，以确保系统稳定性和用户价值。 停机时间的定义取决于具体用例，例如客户成功聊天机器人和收入运营代理的衡量标准不同。 Dropbox将代理停机时间定义为无引用的响应、延迟过高或未引用正确来源。 Monte Carlo的开发团队使用基于语义距离、扎根性和正确工具使用的指标来评估代理停机时间。 大多数团队目前使用采用率作为代理可靠性的主要指标，但正逐步转向更全面的停机时间和相关指标。
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