万三工作室发布了名为Wansan Studio的本地Excel聊天式BI工具，由Java开发者业余时间独立开发。该工具采用Electron构建UI，DuckDB作为核心OLAP数据库引擎，支持在本地处理百万行数据几乎0延迟，并使用BYOK模式的LLM进行逻辑推理。用户只需拖入Excel、CSV或JSON文件，通过自然语言提问即可自动生成图表和A4报告，数据安全方面强调原始数据不离开设备。开发者分享了全流程与AI协作开发的经验，展示了AI在软件开发中的强大能力。目前软件处于Public Beta阶段，官网提供下载，激活码为WANSAN-BETA-2025解锁全部功能。这款工具为简化BI报表分析提供了新思路，特别适合需要快速生成数据报告的场景。
原文链接：V2EX 分享发现
Tesla recently reported to the National Highway Traffic Safety Administration another crash involving its Robotaxi fleet in Austin, marking the 12th incident since the program's launch in October. Notably, this accident occurred despite the presence of a human safety supervisor, as Tesla plans to gradually phase out these safety monitors. The December 10th incident involved a Robotaxi in autonomous mode being struck by another vehicle that ran a red light. Despite the recent spate of accidents, Tesla maintains its position that its autonomous driving system is safer than human drivers and plans to expand the Robotaxi service to more cities in the coming months. This series of events has drawn intense scrutiny from regulators and the public regarding autonomous vehicle safety, particularly as Tesla seeks to reduce human oversight.
Source:Hacker News
AppScreenshots is an app store screenshot tool designed specifically for indie developers, designers, and small teams, supporting multiple platforms including App Store, Google Play, Chrome Web Store, and Huawei AppGallery. This tool can generate a complete set of screenshots in minutes without requiring any design experience. Key features include: one-click import of screenshots with drag-and-drop template adjustments; built-in 3D device frames for the latest iPhones, Android devices, and tablets; support for bulk translation and export in multiple languages to help apps go global; provides templates for common categories such as utilities, productivity, and finance; integrates AI technology to automatically generate backgrounds and elements, enhancing brand visual impact. A free version is now available, suitable for new app launches, store asset optimization, and multi-language version updates, effectively solving the pain point of developers needing professional assets without the budget for a designer.
Original Link:V2EX Share & Discover
A developer, frustrated with existing translation tools like Google incorrectly translating Buddhist terms (such as rendering '般若' as 'wisdom' instead of 'Prajñā'), has created their own open-source AI Buddhist scripture translator. This tool supports mutual translation between 18 languages including Sanskrit, Pali, and Tibetan, features a built-in database of 50+ Buddhist terms, and is powered by the DeepSeek API to ensure translation accuracy. It supports voice input and multilingual text-to-speech, with a pure front-end implementation that protects user privacy. The project is now open source, with an online demo and GitHub link available, and welcomes community feedback and suggestions.
Original Link:V2EX Share & Discover
This article shares a Buddhist scripture translator project based on the DeepSeek API, implemented purely on the frontend, addressing the issue of inaccurate handling of Buddhist terminology by general translation tools. Through carefully designed prompt engineering and a built-in database of 50+ Buddhist terms, the author achieves high-quality translations of Buddhist scriptures. The article provides detailed technical implementation details, including caching strategies, XSS protection, and API call optimization, while also sharing challenges encountered during development and their solutions. The project features a framework-free, zero-dependency design, making deployment simple, with users bringing their own API keys and no server costs. The code is open-source for developers to reference and learn from, demonstrating the practical value of AI in specialized domains.
Original Link:V2EX Share & Discover
The author shares their personal experience using Google's Gemini 3 Pro, encountering various issues during coding tasks. The model produced numerous errors in front-end development that were difficult to resolve, while Trae CN solo performed better. Its research mode and knowledge base features delivered poor results, with hallucinations and logical errors. The review concludes Gemini is slightly better than DeepSeek (due to multimodal capabilities) but falls far short of the online hype. For personal use, Claude Opus 4.5 is superior with faster response times, followed by GPT-5.1. Conclusion: Gemini 3 Pro delivers mediocre performance, ranking low among AI models.
Original Link:Linux.do
Users on the Cursor platform have made an exciting discovery about the GPT5.2-xhigh model: processing a request with 10 million tokens consumes only 1 credit. Calculations show this is more cost-effective than using a codex relay service at 0.1x rate, highlighting the significant cost-performance advantage of GPT5.2-xhigh. This insight comes from discussions in the Linux.do community, where multiple participants shared real-world application cases, emphasizing the importance of choosing efficient models in AI development. The article provides concrete data to help developers optimize resource allocation and improve work efficiency, making it a highly valuable practical insight for readers interested in AI technology and model optimization.
Original Link:Linux.do
最新评论
照片令人惊艳。万分感谢 温暖。
氛围绝佳。由衷感谢 感受。 你的博客让人一口气读完。敬意 真诚。
实用的 杂志! 越来越好!
又到年底了，真快！
研究你的文章, 我体会到美好的心情。
感谢激励。由衷感谢
好久没见过, 如此温暖又有信息量的博客。敬意。
很稀有, 这么鲜明的文字。谢谢。