Java 三十周年重磅发声：James Gosling 怒斥 AI 是“一场骗局”，是科技高管“疯狂压榨”程序员的新工具

Core Insights - The article discusses the significant impact of Java programming language over the past 30 years, highlighting its evolution and continued relevance in the tech industry [1][21] - James Gosling, the creator of Java, critiques the current AI hype, labeling it as a marketing ploy and expressing skepticism about its long-term value [16][19] Java's Evolution and Impact - Java was introduced 30 years ago with the vision of "Write Once, Run Anywhere," which revolutionized software development by providing a more user-friendly alternative to C and C++ [2][3] - Despite facing competition from emerging languages, Java remains one of the most popular programming languages globally, ranking in the top ten according to Stack Overflow and fourth in the TIOBE index [3][4] - The language's enduring popularity is attributed to its reliability, backward compatibility, and focus on solving real-world problems, making it a staple in enterprise environments [20][21] James Gosling's Contributions and Views - James Gosling's journey from a curious child to a tech pioneer illustrates his innovative spirit and ability to simplify complex concepts [5][6] - Gosling emphasizes the importance of community and collaboration in the open-source movement, which he believes is essential for the continued evolution of Java [13][20] - He expresses concerns about the AI trend, arguing that it often misrepresents advanced statistical methods as autonomous systems, which could mislead investors and developers alike [16][19] Java's Technical Advancements - Recent improvements in Java include enhancements in type inference, array declarations, and significant advancements in the Java Virtual Machine (JVM) regarding memory management and garbage collection efficiency [17][18] - The JVM's ability to handle large memory spaces and its high-quality code execution have made Java particularly stable in cloud environments [10][18] Future of Programming and AI - Gosling believes that programming will remain a crucial skill, regardless of advancements in AI, and stresses the need for individuals to understand the systems they work with [19] - He critiques the notion that AI will reduce the demand for software engineers, viewing such claims as self-serving and misleading [19]