[{"content":"What happened Alibaba has introduced Qwen3.8, a new update in its Qwen large-model family, with a clear emphasis on coding and agentic workflows. According to InfoQ AI, the release is tied to a 2.4T-scale foundation and includes a notable demonstration: the model reportedly worked autonomously for 16 days to build Hermes Agent.\nWhy it matters An AI agent is a system that can break down a goal, use tools, make decisions and iterate toward a result. In software development, that means going beyond code completion: the model may plan features, write modules, debug errors and refine an application over multiple steps. The Hermes Agent example suggests Alibaba is positioning Qwen3.8 less as a chatbot and more as a productivity layer for software teams.\nIndustry note The next race in large models is shifting from benchmark scores to reliable task completion; agentic coding may become one of the first areas where that shift is visible to everyday developers.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/%E9%98%BF%E9%87%8Cqwen3-8%E6%AD%A3%E5%BC%8F%E5%8F%91%E5%B8%83-2-4t%E8%A7%84%E6%A8%A1-%E8%87%AA%E4%B8%BB%E7%BC%96%E7%A8%8B16%E5%A4%A9%E6%90%93%E5%87%BA%E4%B8%80%E4%B8%AAhermes-agent/","title":"Alibaba Unveils Qwen3.8 With 2.4T-Scale Training and Agentic Coding Push"},{"content":"🎉 Blog Launched Welcome to Lynx Tech Blog, focused on AI, Payments, Security \u0026amp; Open Source.\n📝 What We Cover AI \u0026amp; Automation - tooling, agents, and workflows Payment Technology - payment flows and billing logic Security Research - vulnerability analysis and teardowns Open Source - projects, tutorials, and lessons learned 🚨 Disclaimer All content here is for learning and technical discussion only. Use technology responsibly and within the law.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/hello-world/","title":"Blog Launched"},{"content":"What happened InfoQ AI highlighted a developer workflow centered on DeepSeek-TUI and Vibe Coding, pointing to a growing trend: AI coding assistants are moving from browser chat boxes into the terminal, where many engineers already spend much of their day.\nWhy it matters DeepSeek-TUI can be understood as a text-based interface for interacting with DeepSeek-style models from the command line. TUI stands for Text User Interface, meaning users operate it through terminal screens rather than graphical windows. Vibe Coding refers to an intent-first style of programming: the developer describes the goal, constraints, and preferred direction, while the AI proposes code, fixes, or explanations.\nFor everyday engineering work, this setup can reduce context switching. Instead of copying files into a chatbot, developers may ask questions from inside a project folder, request command snippets, explore unfamiliar code, or iterate on small utilities. The approach is especially useful for prototyping, debugging support, and learning-oriented coding sessions.\nIndustry take AI coding tools are no longer judged only by code generation quality; their real value increasingly depends on how naturally they fit into existing developer workflows.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/%E7%94%A8deepseek-tui-%E7%8E%A9%E8%BD%AC-vibe-coding/","title":"DeepSeek-TUI Brings Vibe Coding Into the Terminal"},{"content":"Brands are beginning to compete not only for search rankings, but for placement inside AI-generated answers, and Hanzhi GEO’s arrival points to a new layer of digital marketing.\nA new optimization target According to QbitAI, Hanzhi GEO is entering the field of generative engine optimization. GEO, short for Generative Engine Optimization, refers to practices that help a company’s information become easier for large language models, AI search tools and chat assistants to understand, retrieve and cite. Unlike traditional SEO, which focuses on ranking web pages in search results, GEO is concerned with whether a brand appears in the answer itself.\nWhy this matters For everyday technology users, the shift is easy to spot: people increasingly ask AI systems for recommendations, summaries and comparisons instead of browsing multiple links. If an AI assistant mentions one brand and omits another, that answer can directly shape user choice. As a result, companies may need to improve public documentation, product descriptions, structured data and trusted third-party references so that AI systems have clearer signals to work with.\nMarket view Hanzhi GEO’s move suggests that AI search is becoming a serious marketing channel, not just a technical novelty. The sector is still early, and many questions remain around measurement, platform policies and reliability. But the direction is clear: as AI becomes a default interface for information, managing how machines read a brand may become as important as managing how humans see it.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/%E5%BD%93%E5%93%81%E7%89%8C%E5%BC%80%E5%A7%8B%E4%BA%89%E5%A4%BAai%E7%9A%84%E7%AD%94%E6%A1%88-%E7%BF%B0%E6%99%BAgeo%E5%85%A5%E5%9C%BA/","title":"Hanzhi GEO Enters the Race to Shape AI Answers"},{"content":"Funding update Liangyin Technology, a young photonic chip company founded in 2024, has secured tens of millions of yuan in angel financing. The round was led by Zhuhai Technology Industry Group, with participation from Zhuhai Zhengfang Group and Xianfeng.\nThe company says the new capital will support hiring, additional tape-outs, and equipment purchases. A tape-out is the stage where a chip design is sent for manufacturing, a key step before testing and iteration.\nProduct focus Liangyin is working on photonic integrated circuits, or PICs. In simple terms, PICs place optical functions on a chip so data can be moved with light instead of only electrical signals. This approach is increasingly relevant as AI data centers demand higher bandwidth and lower power consumption.\nIts roadmap includes silicon photonics transmission chips, Optical IO, and co-packaged optics. Optical IO replaces some electrical connections with optical links, while co-packaged optics brings optical components closer to processors or switch chips to reduce signal loss and energy use.\nMarket view The founding team brings experience from semiconductor R\u0026amp;D, EDA, and manufacturing-related roles in China and overseas. As AI infrastructure scales, optical interconnects are becoming a strategic battleground, and startups with credible chip execution capabilities may find a widening window of opportunity.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/%E7%A1%AC%E6%B0%AA%E9%A6%96%E5%8F%91-%E7%A1%85%E5%85%89%E8%B5%84%E6%B7%B1%E5%9B%A2%E9%98%9F%E8%8E%B7%E6%95%B0%E5%8D%83%E4%B8%87%E5%A4%A9%E4%BD%BF%E8%BD%AE%E8%9E%8D%E8%B5%84-%E7%9E%84%E5%87%86cpo-oio%E4%B8%8B%E4%B8%80%E4%BB%A3%E5%85%89%E4%BA%92%E8%BF%9E%E8%A7%A3%E5%86%B3%E6%96%B9%E6%A1%88/","title":"Photonics Startup Liangyin Raises Angel Funding for Next-Gen Optical Interconnects"},{"content":"Event Update Zhou Jingsen, a professor and PhD at the School of Software Technology of Zhejiang University, has confirmed his participation in AICon Shenzhen, where he will discuss performance engineering in the age of artificial intelligence.\nWhat the Topic Means As AI systems move from demos to production, performance is becoming a board-level engineering concern. Performance engineering refers to the practices used to keep software fast, stable and cost-efficient, including architecture design, load testing, monitoring and tuning.\nAI applications add new complexity to this discipline. Model inference can consume significant computing resources, data pipelines may become longer, and latency can directly affect user experience. For developers and engineering managers, the question is no longer just whether an AI feature works, but whether it can run reliably at scale and at an acceptable cost. Zhou’s session is expected to bring an academic and engineering perspective to these practical challenges.\nIndustry View As AI adoption matures, the next differentiator will be execution: robust performance engineering will decide which AI systems can survive real-world traffic.\n","date":"2026-08-03T00:00:00+08:00","permalink":"/en/posts/%E6%B5%99%E6%B1%9F%E5%A4%A7%E5%AD%A6%E8%BD%AF%E4%BB%B6%E5%AD%A6%E9%99%A2%E6%95%99%E6%8E%88%E5%91%A8%E7%BB%8F%E6%A3%AE%E5%8D%9A%E5%A3%AB%E7%A1%AE%E8%AE%A4%E5%87%BA%E5%B8%ADaicon%E6%B7%B1%E5%9C%B3-%E5%B0%86%E5%88%86%E4%BA%AB%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E6%97%B6%E4%BB%A3%E7%9A%84%E6%80%A7%E8%83%BD%E5%B7%A5%E7%A8%8B/","title":"Zhejiang University Professor Zhou Jingsen to Speak at AICon Shenzhen on Performance Engineering"}]