Anthropic has spent the last year turning Claude into the darling of power coders just as AI usage has exploded across companies, workflows, and entire industries, pushing demand for agentic coding tools to unprecedented levels. In this environment of runaway adoption, a brutal miscalculation on compute and capacity is now blowing Anthropic’s strategy up in public. In a rare, sharply critical video, AI YouTuber Matthew Berman explains how opaque quotas, shifting policies, and confusing restrictions are undermining Anthropic’s once brilliant flywheel and handing OpenAI an effortless PR win. In this post, I summarize his critique, explain why I stopped trusting Anthropic for professional work a while back, and outline why building provider-agnostic agents is the only sane strategy in this unstable industry.

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Microsoft announced Wave 3 of Microsoft 365 Copilot, introducing Copilot Cowork as a new AI-driven work mode that executes multi-step tasks across Office applications. However, Copilot Cowork is a double misnomer because the tool qualifies as neither a copilot nor a coworker.

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Twenty years ago, I authored my first 4sysops blog post. However, my fascination with IT started much earlier. I can't recall exactly how I came to this realization, but I initially believed that computers were superior learning tools to books and that studying how to use them would give me superpowers. Forgive me, I was just an immature teenager. Although I soon forgot this idea, I was already hooked after the initial lines of my first computer program.

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OpenAI, once the undisputed leader of the generative AI boom, is now caught in a convergence of technical, competitive, financial, and trust crises that threaten its long-term survival. This is a shortened version of my article, the OpenAI Bubble.

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Visual Studio Code version 1.109 introduces agent orchestrations — a feature that transforms the IDE into a multi-agent development platform. You can now create custom agents that collaborate, delegate tasks to specialized subagents, and execute complex workflows autonomously. This article explains the concept and demonstrates agent orchestration with a simple example. I'll also share my opinion on Microsoft's concept of agent orchestrations. It's not particularly favorable.

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OpenClaw, previously known as Clawdbot and briefly as Moltbot, is a free, open‑source personal AI agent that runs locally on your computer, enabling you to automate any task a human can perform on a computer. It gained rapid popularity, accumulating 100,000 GitHub stars in record time, along with tens of thousands of forks as it went viral. OpenClaw skills pose severe security risks because they are unvetted modules that may contain hidden, malicious instructions for the agent's model. These harmful instructions could result in API key leaks, data theft, credential compromise, and system breaches due to malicious code execution. This guide covers OpenClaw skill structure, known security incidents, and step-by-step instructions for scanning agent skills with the Cisco AI Skill Scanner. The Cisco AI Skill Scanner provides comprehensive security analysis of OpenClaw agent skills before installation, detecting malware, data exfiltration, and prompt-injection vulnerabilities.

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