Google Gemini 3 flash模型近日正式发布，其核心优势在于响应速度快、成本低。实际测试显示，在生成复杂提示词场景中（如电影拍摄现场合影提示词），Gemini 3 flash仅需22秒完成，而Gemini 3 pro则耗时50秒以上，性能提升显著。该模型通过优化算法和资源分配，降低了用户使用成本，特别适合需要快速响应的AI应用场景。测试数据来自Linux.do社区用户实测，为开发者和技术爱好者提供了版本选择的实用参考。这一发布标志着AI大模型在效率优化上的新进展，推动前沿技术落地应用。
原文链接：Linux.do
This article shares the author's discovery of the real value of AI job search tools after submitting 500 resumes. Traditional job platforms are plagued with inactive postings and unresponsive recruiters, causing job seekers to waste significant time. AI technology acts like a 'keen-eyed career partner,' automatically filtering for active positions where recruiters are online and precisely targeting resume submissions. The author now only needs 10 minutes daily to set criteria, freeing up time to focus on skill development instead of endlessly refreshing job apps. This experience reveals the practical value of AI in job hunting, demonstrating how technology transforms traditional job searching, enabling candidates to use time more efficiently and focus on meaningful career growth.
Original Link:V2EX Share & Discovery
This article outlines a cutting-edge technology outsourcing requirement for developing a mobile-friendly Web 3D page. The core functionality involves loading and displaying 3D Gaussian Splatting models. The tech stack requires Three.js and @lumaai/luma-web, supporting .splat or .ply format models (approximately 30-50MB). It should implement finger rotation, zoom, and inertial scrolling interactions, with Raycasting to enable clicking on specific model parts to trigger HTML information popups. Mobile performance optimization is crucial to ensure no crashes or lag. Deliverables include complete frontend source code, model replacement documentation, simple deployment guide, and model compression guidance. Budget is 8,000 RMB with a 10-day timeline. This project demonstrates the application of advanced 3D rendering technology on the web, holding significant value for AI and GPU fields.
Original Link:V2EX Share & Discover
The creator developed the Mephisto project to address issues with existing temporary email services, such as excessive ads and tracker intrusions. Built with a React, Vite, and Tailwind tech stack, this tool features a pure memory architecture (RAM-only), ensuring data cannot be recovered after sessions end. Key features include client-side password generation (keys never sent to server), low-latency PWA design (using WebSockets for email reception), and mobile-friendly encrypted transfer functionality. The project is completely free and open source, offering robust privacy protection ideal for developers.
Original link:Hacker News
This article provides a comprehensive guide to the complete deployment process of OpenMemory MCP, covering project cloning, configuration file modifications (including docker-compose.yml and .env), database setup (PostgreSQL), embedding model selection (supporting OpenAI, Gemini, Ollama), and performance tier configuration (FAST/SMART/DEEP). The author shares practical deployment experience, addressing common issues such as Valkey activation failures and missing user_id, and successfully implements long-term memory functionality for large models. This technical note offers AI developers practical details on performance optimization, API key management, and frontend-backend connection debugging, serving as a valuable reference for enhancing memory capabilities in AI applications.
Original Link:Linux.do
A Linux community user has shared a self-developed open source project—a multi-model AI art platform that supports mainstream image generation models including Midjourney, Gemini, Flux, DALL-E, GPT-4o, Grok, and Tongyi Wanxiang. The developer decided to create this tool due to the lack of programs supporting multiple image generation models in the market and has provided an online demo. The article specifically highlights that the Flux series models offer the most flexible usage, and seeks suggestions on integrating the NSFW Z-Image model. This tool provides AI developers with a convenient multi-model integration solution, simplifying the image generation process and enhancing creative efficiency, making it a practical innovation in the open source AI ecosystem.
Original Link:Linux.do
Google's AI filmmaking tool Flow has recently announced a major update, now supporting 4K image download functionality. The tool, powered by Google DeepMind's advanced generative video model Veo, enables users to seamlessly create film clips and scenes. This upgrade marks a breakthrough in AI technology for high-definition content creation, providing filmmakers and content creators with more powerful creative tools that significantly enhance visual quality and production efficiency. This not only demonstrates Google's continued investment in AI innovation but also reflects the practical application value of generative AI in the creative industry, opening up new possibilities for the future of film and television production.
Original link:Linux.do
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。
Thank you for your sharing. I am worried that I lack creative ideas. It is your article that makes me full of hope. Thank you. But, I have a question, can you help me?
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。