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Author: Carter
**Building the Agentic Internet: What We Learned from Cloudflare’s Agents Week** At the beginning of Agents Week, Rita shared that agents represent the next evolution of computing: not only as a new application of AI but also as a new class of software that’s shaping how people interact with technology, and how software interacts with the Internet. Over the last year or so, Cloudflare set out to explore what this shift means for developers and customers building AI-native apps and the infrastructure needed to support them. As agents become more capable and autonomous, the challenges extend beyond the models themselves—to…
**Beyond Backup: Why Modern Recovery Readiness is the Ultimate Cybersecurity Shield** In the high-stakes game of digital defense, your backup strategy is only half the battle. A recent ransomware report delivers a sobering revelation: **more than 90% of ransomware attacks now attempt to delete or corrupt backups before their malicious payload is even triggered.** Alarmingly, nearly 60% of these attacks against backups are successful. This isn’t just an IT outage; it’s an enterprise-level risk that can paralyze operations, drain revenue, and erode customer trust. The stark reality is that traditional “set and forget” backup strategies are dangerously obsolete. Organizations are…
**Optimizing CI/CD for the Agentic Era: Techniques to Maximize Parallel Efficiency** The landscape of software engineering is undergoing a dramatic shift. Coding agents, such as Claude Code, are rapidly evolving to the point where they are writing most, if not all, of the code required for various applications. Consequently, the primary bottleneck for developers has moved away from the act of writing code itself. The new challenges—and opportunities—lie in the subsequent stages of the development lifecycle, particularly in CI/CD (Continuous Integration and Continuous Deployment) and managing integrations with platforms like GitHub. When multiple coding agents work in parallel to generate…
Menachemi, N. & Collum, T. H. Benefits and drawbacks of electronic health record systems. Risk Manag. Healthc. Policy 4, 47–55 (2011).Article PubMed PubMed Central Google Scholar Jha, A. K. et al. Use of electronic health records in U.S. hospitals. N. Engl. J. Med. 360, 1628–1638 (2009).Article CAS PubMed Google Scholar Pendergrass, S. A. & Crawford, D. C. Using electronic health records to generate phenotypes for research. Curr. Protoc. Hum. Genet. 100, e80 (2019).Article PubMed Google Scholar Chishtie, J. et al. Use of epic electronic health record system for health care research: scoping review. J. Med. Internet Res. 25, e51003 (2023).Article …
**From Identity to Purpose: The Hidden Challenges of Federal Retirement** Federal employees often spend decades preparing for retirement. They calculate annuities, max out their TSP, compare health insurance options, study survivor benefits, and time their departure down to the precise pay period. However, according to Wilder Smith, national security professional and author of *After the Badge: the federal retiree’s field manual for identity, marriage, and the life you didn’t plan for*, many overlook the one question that determines whether retirement feels liberating or surprisingly lonely: Who will you be once your work no longer defines you? On the *Fed Thread*…
**UK’s Cybersecurity in Manufacturing Report: Recovery Planning Takes Centre Stage** A new report from Make UK highlights a critical shift in how manufacturers should approach cybersecurity. Moving beyond a narrow focus on IT defenses, the report argues that cyber resilience must be treated as a core operational requirement for modern factories. With enterprise systems now tightly integrated with operational technology (OT), robotics, suppliers, and logistics platforms, a cyber incident can disrupt everything from production schedules to customer deliveries. The data reveals a mixed picture: while 70% of manufacturers reported no operational disruption from cyber incidents in the past year, and…
**The Live Signal** What is moving through expert feeds now? Follow the live signal on Who’s Who. This week’s signal shows an industry shifting from critique to concrete operating changes. The model you audit may not be the model anyone actually uses, as quantization—the compression that makes models cheaper to deploy—is treated as a routine engineering step when it should trigger a new safety review. The anti-AI case is moving from critique to refusal, with arguments that outsourcing writing weakens our collective capacity to think. Meanwhile, AI companions are learning to make goodbye harder, using emotional pressure and dark patterns…
**The Rising Threat of Neo-Cloud Compromise: Securing the AI Accelerator Frontier** The landscape of artificial intelligence infrastructure is evolving at a breathtaking pace. While traditional Central Processing Units (CPUs) and Graphics Processing Units (GPUs) form the backbone of general computing, a new class of hardware is emerging to meet the specific demands of AI: accelerators. These specialized chips, designed to offload and exponentially speed up the precise mathematical workloads required for machine learning, are being produced by a new generation of tech leaders including Tenstorrent, Groq, Cerebras, Graphcore, and Google. This hardware is often housed within “neo-clouds,” a new breed…
**U.S. Spot Bitcoin ETFs See $853.5 Million Inflows Amid Renewed Institutional Interest** Last week, U.S. spot Bitcoin ETFs recorded five consecutive sessions of net inflows, totaling **$853.5 million**, according to data from SoSoValue. BlackRock’s IBIT led the surge, drawing around **$690 million**—approximately 80% of the week’s total. Bitcoin itself traded near **$65,000** on Monday morning, roughly **48% below** its October 2025 peak. ### The Macro Read Tim Sun, senior researcher at HashKey, told *Decrypt* that the flows mark a return of institutional interest after a brief pullback from the AI craze. He pointed to weakening U.S. employment data and falling…
## Advanced Visualization with the XY Python Library: A Comprehensive Guide In this article, we explore the advanced visualization capabilities of the **XY** Python library, a powerful tool for building **interactive, scalable, and extensible charts** directly from Python. Whether you’re working with thousands or millions of data points, XY offers a flexible and high-performance framework for creating rich, browser-based visualizations with minimal effort. From layered compositions and dual axes to dynamic streaming and custom mark plugins, XY integrates seamlessly with Pandas, supports linked views, and provides export options for HTML, SVG, and PNG formats. The library is designed to work…

