Apple’s recent paper, The Illusion of Thinking, has sparked a wave of discussions both online and offline. Some have latched onto it as a definitive "gotcha" moment against large language models (LLMs), claiming they’re nothing but fancy statistical engines that can’t truly reason. But here’s the thing: we already should know that. Anyone who’s spent time digging into how LLMs work knows they’re built from neural networks, statistics, and sheer compute horsepower. There’s no magic “thinking” happening under the hood, no matter how many times a CEO stands on a stage and calls them “intelligent.” And yet — that doesn’t make them any less impressive or useful…​.

The Model Context Protocol (MCP) is taking the developer world by storm, and now, with its latest spec update: Streamable HTTP support has arrived!…​

Introduction Hello, Java enthusiasts! Today, I’m excited to share a tool that I believe will make your database interactions much simpler. If you’ve worked with Java databases, you know that setting up JDBC connections can sometimes be a bit cumbersome. That’s where my JBang script, conveniently named jdbc, comes into play. It’s designed to streamline the process, making your life as a developer a bit easier…​.

Once upon a time, in a world not too distant from our own, a great invention was unveiled: the “Intelligent Machine,” or simply "AI." Its creators promised wonders—unlimited reasoning, flawless decision-making, and the power to revolutionize industries. It was said that this new technology could think like a human, solve problems beyond human capability, and would soon render manual labor, tedious management, and even complex tasks obsolete. The leaders of the world—CEOs, politicians, and influencers—were enchanted. "This is the future," they declared. "AI will guide us to new heights of productivity, efficiency, and innovation." The tech CEOs, drunk on the promise of reducing costs, began to replace workers with AI-powered systems. Programmers were let go, customer support became fully automated, and entire departments were dissolved as the AI took their place. The AI was hailed as the ultimate solution to every problem. Businesses bragged about their "AI-driven" strategies, while governments boasted about using AI to streamline services. Investors poured in their wealth, driving the AI bubble higher and higher. Society was caught in the frenzy, trusting AI to steer the ship, no longer caring to question its methods…​.

Over the past weeks, we’ve received questions about the recent announcement that Red Hat’s Middleware engineering and product teams, which include Quarkus, are moving to IBM…​.