一位开发者因现有翻译工具如Google对佛教术语翻译错误，如将’般若’译为’wisdom’而非’Prajñā’，自己开发了开源AI佛经翻译器。该工具支持梵文、巴利文、藏文等18种语言互译，内置50+佛教术语数据库，使用DeepSeek API驱动，确保翻译准确。支持语音输入和多语言朗读，纯前端实现保护隐私。项目已开源，提供在线体验和GitHub链接，欢迎社区反馈和建议。
原文链接：V2EX 分享发现
SUI is a newly released programming language that aims to revolutionize the accuracy of code generation by large language models (LLMs). The language claims to enable LLMs to generate code with 100% accuracy, a breakthrough goal in the field of AI-assisted programming. Currently, while LLMs have made significant progress in code generation, accuracy issues remain the primary obstacle to their widespread adoption. If SUI can achieve its stated goal, it would significantly advance the development of AI-assisted programming technology, providing software developers with more reliable and efficient code generation tools. However, there is currently limited public information available about SUI's technical details, implementation methods, and actual performance. Its claimed 100% accuracy requires more real-world case studies and independent verification to be substantiated.
Original Link:V2EX Share & Discover
A formally trained Go language developer is facing the challenge of choosing a second language, sparking heated discussion in the V2EX community. The developer already has a foundation in C++ and Java syntax, currently focusing on Go and Python, and hopes to select a new language to enhance their skills. The community widely recommends Rust, considering it a systems-level language that complements Go and can improve the completeness of their technical stack. Some suggest learning JavaScript/TypeScript to expand frontend capabilities, or choosing Java to ensure broader employment opportunities. The article reflects the trend of attention to emerging languages in the backend development field, providing developers with ideas for technical advancement while demonstrating the importance of continuous learning in the AI era.
Original Link:V2EX Share & Discover
The GLM-4.6 model now officially supports the thinking feature in Claude Code, bringing more powerful reasoning capabilities to AI applications. According to official documentation, the model's /chat/completions endpoint enables the thinking feature by default, with the model autonomously determining whether thinking is necessary. Researchers have successfully adapted the thinking display feature for CCR by splitting thinking parameters. For configuration, users need to use the latest version of CCR and set it up through the OpenAI-format Coding endpoint, with example configurations provided. Although the interleaved thinking feature is temporarily missing, this update significantly improves the GLM model's performance in complex tasks, providing developers with more flexible AI tool options.
Original Link:Linux.do
This article discusses three major technical challenges in using Chrome DevTools MCP: AI-launched browsers unable to log into accounts, implementing AI-controlled batch file uploads, and how to directly control browsers instead of using incognito mode. These issues address practical application scenarios for AI browser automation, providing developers with practical approaches to optimize AI interaction experiences, helping to improve web automation efficiency and reliability, representing cutting-edge exploration in the field of AI browser control.
Original Link:Linux.do
This article introduces a practical method for solving Word document formatting issues using AI. By having AI generate HTML code with formatting styles, which is then rendered in a browser and copied to Word, you can one-click preserve formatting settings such as fonts, font sizes, and indentation. For mathematical equations, the article proposes having AI output raw LaTeX format, then automatically converting it to renderable equations through Word macro scripts, solving the problem of equation display errors caused by incompatibility between HTML and Word rich text. This method eliminates the need for manual formatting adjustments, significantly improving work efficiency after generating content with AI, especially suitable for scenarios requiring consistent document formatting, such as academic reports and technical documents. The article provides detailed operation steps, prompt examples, and macro script code, making it highly practical.
Original link:Linux.do
一位科班出身的Go语言开发者面临第二语言选择难题，在V2EX社区引发热烈讨论。该开发者已掌握C++、Java基础语法，目前主攻Go和Python，希望选择一门新语言提升技能。社区普遍推荐Rust，认为其作为系统级语言与Go形成互补，能提升技术栈完整性。部分建议学习JavaScript/TypeScript拓展前端能力，或选择Java确保就业面。文章反映了后端开发领域对新兴语言的关注趋势，为开发者提供技术进阶思路，同时展现了AI时代持续学习的重要性。
原文链接：V2EX 分享发现
最新评论
I don't think the title of your article matches the content lol. Just kidding, mainly because I had some doubts after reading the article.
这个AI状态研究很深入，数据量也很大，很有参考价值。
我偶尔阅读 这个旅游网站。激励人心查看路线。
文章内容很有深度，AI模型的发展趋势值得关注。
内容丰富，对未来趋势分析得挺到位的。
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光纤技术真厉害，文章解析得挺透彻的。
文章内容很实用，想了解更多相关技巧。