上海地铁实现全自动无人驾驶运行。列车凌晨4点自动唤醒、自检出库，无需驾驶员操作。目前四条线路已投入使用，代表中国轨道交通智能化技术重大突破，提升运行效率与乘客体验。 Shanghai's subway operates fully automated without human drivers. Trains automatically wake up at 4 AM, self-inspect, and depart. Four lines currently operational, representing China's major breakthrough in intelligent rail transit technology, enhancing operational efficiency and passenger experience.
AI帝国的兴起揭示了前所未有的权力集中现象。谷歌、微软等科技巨头通过垄断数据、算力和人才，正在重塑全球技术格局。这种发展模式呈现出数字殖民主义特征，从肯尼亚的内容审核工人到乌拉圭的水资源争夺，AI发展的代价被转嫁给全球南方。更令人担忧的是，这些公司正在系统性地侵蚀民主制度，通过"技术大使"和监管俘获获得准主权地位。尽管抗争力量正在兴起，但技术民主化的时间窗口正在快速缩小，我们必须在AI帝国完全固化之前重新夺回对技术方向的民主控制权。
了解如何吸引财富、爱情和快乐？《吸引力法则》详细解析了宇宙间最强大的法则，并在第一周就登上《纽约时报》畅销书排行榜！本文将通过5个维度解读这本书，一起探索如何找到并实现自己想要的生活！20多年来，有声书《吸引力法则》一直受到深受欢迎，被翻译成30多种语言。
Explore the concepts of analog, digital, and quantum information processing with this 8 minute video, and understand the differences between them.
China's $138 billion government investment in Physical AI and claimed 70% global market share in embodied robotics positions it as a formidable force reshaping Southeast Asia's technological landscape. Chinese companies like Unitree are delivering cost-effective humanoid robots and industrial automation systems that could accelerate regional adoption while potentially displacing local manufacturers. For SEA, this presents both opportunities—access to affordable AI robotics for manufacturing and agriculture—and challenges, as regional economies must compete with China's state-backed AI ecosystem while developing their own indigenous capabilities to avoid technological dependence.
软件3.0时代的到来对东南亚软件工程师带来双重影响：一方面，传统低端编码工作面临AI替代威胁，初级开发者就业压力加大；另一方面，AI工具的普及大幅提升开发效率，降低了技术门槛和创业成本。关键在于主动转型：掌握AI编程工具、提升英语能力、培养业务理解力。那些能与AI协作的开发者将获得更大发展机遇，甚至可能实现技术跃升，在全球市场中获得竞争优势。
MiniMax M1 is a revolutionary open-source AI model featuring a 1 million token context window and Lightning Attention mechanism. Trained for just $535,000 versus GPT-4's $100+ million cost, it delivers competitive performance while consuming 75% less computational power than rivals like DeepSeek R1. Released under Apache 2.0 license, democratizing frontier AI capabilities.
Google VEO 3 is Google's revolutionary AI video generator that creates 8-second videos with synchronized audio from text prompts. Now available in 71 countries including many SEA nations, it costs $19.99-$249.99/month. For Southeast Asia's mobile-first, culturally diverse region, VEO 3 democratizes video production, enabling small creators and cultural organizations to produce high-quality content at fraction of traditional costs. However, challenges include English-only audio output and risks of cultural misrepresentation, requiring careful adoption to preserve authentic regional storytelling traditions.
DeerFlow是字节跳动新开源的深度研究框架，将大语言模型与专业工具无缝结合，显著提升研究效率。基于LangChain和LangGraph构建，其多智能体协作系统为研究人员、内容创作者和数据分析师提供强大支持。 用户只需提出研究需求，DeerFlow即可自动规划执行流程，通过搜索引擎、数据分析等工具完成复杂任务，最终生成高质量报告。其支持多种语言模型，并可通过MCP服务器扩展功能。无论是分析GitHub热门项目还是生成专业研究报告，DeerFlow都能显著提高效率与质量。
The Reversal Challenge in LLM Fine-Tuning Recent research reveals standard fine-tuning causes LLMs to lose their reasoning flexibility. While models can perform logical reversals (if A→B, then B→A) and syllogisms through in-context learning, they fail at these same tasks after fine-tuning. A key discovery shows "format specialization" as the culprit, where models overfit to specific formats rather than understanding underlying logic. The innovative solution leverages the model's own in-context reasoning abilities to generate examples of desired reasoning patterns, then incorporates these into the fine-tuning dataset. This approach bridges the gap between the rigid fine-tuning process and the dynamic flexibility of in-context learning.
