The GNU C compiler is excellent with reasoning about Boolean values. It may be too clever. Like Microsoft Clippy-level clever ...

第一，智能体部署的性价比超高：仅激活 30 亿参数，即可实现媲美激活参数量高出 10–20 倍模型的性能，为智能体部署提供极高的性价比。（达到了Sonnet4.5的水平。） 其次，长程推理、工具调用能力出色。通过精心设计的训练方案，该模型在长程推理、复杂工具调用以及执行失败后的恢复方面表现出色，确保在动态编码任务中具备稳健性能。 第三，集成方式也很灵活。适配多种 CLI ...

Minecraft has always marketed itself as a pleasant and safe experience; however, the addition of The One Who Watches by Mythicus Studios and Pixel Coder to the Minecraft Marketplace takes away that ...

当你写完一段代码，满心期待地运行测试，结果却发现测试失败了，或者根本跑不起来——这种挫败感几乎每个程序员都经历过。现在，人工智能是否能像一个经验丰富的同事一样，帮你找出问题并修复这些令人头疼的测试代码呢？

0. 核心目标：从“代码产出者”变成“文档定义者”这篇文档不是教你怎么把 Ctrl+C / Ctrl+V 换成“让 AI 写代码”，而是希望帮你完成一次根本性的角色转换：Code is generated, Document is the ...

Vedam School of Technology, a next-generation institution redefining computer science education in India, today announced the ...

LLM-in-Sandbox 提出了一个简洁而有效的范式：通过给大模型提供一台虚拟电脑，让其自由探索来完成任务。实验表明，这一范式能够显著提升模型在非代码领域的表现，且无需额外训练。 研究者认为， LLM-in-Sandbox 应当成为大模型的默认部署范式 ， 取代纯 LLM 推理 。当沙盒可以带来显著的性能提升，并且部署成本几乎可以忽略不计时，为什么还要用纯 LLM？

Java 26, due in March with structured concurrency, lazy constants, AOT object caching, and primitive types in patterns, instanceof, and switch, has entered a second rampdown phase for bug fixes. Java ...

It’s the moment software engineers, executives and investors turn their work over to Anthropic’s Claude AI—and then witness a thinking machine of shocking capability, even in an age awash in powerful ...

Abstract: Large Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming tasks and ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...