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Markdown
80 lines
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Markdown
---
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linkTitle: 11-28-Daily
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title: 11-28-Daily AI News Daily
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weight: 4
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breadcrumbs: false
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comments: true
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description: Quark has just dropped its latest AI Glasses G1, priced at an awesome
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1999 yuan! This bad boy is totally your first smart eyewear ✨, packing Qualcomm
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AR1 and.
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---
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## AI News Daily 2025/11/28
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> AI News | Daily Morning Read | Web Data Aggregation | Cutting-Edge Science Exploration | Industry Insights | Open Source Innovation | AI and Human Future | [Visit Web Version 🌐](https://ai.hubtoday.app/) | [Join Group Chat 👋](https://source.hubtoday.app/logo/wechat-qun.jpg)
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### **Today's Summary**
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```
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Quark has launched its first AI Glasses G1, priced at 1999 yuan, supporting 3K video recording and smart interaction.
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In cutting-edge research, DeepSeek unveiled an IMO Gold Medal-level math model, introducing a student-teacher-supervisor self-verification mechanism.
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In the industry, NeurIPS 2025 Best Paper was announced, with Alibaba's Qwen team winning for their gated attention mechanism research.
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Meanwhile, ByteDance announced it would double its 2025 scholarship to 200,000 yuan to incentivize top tech talent.
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The US launched the Genesis Mission, aiming to leverage AI and big data to accelerate scientific discovery, dubbed the new era's Apollo program.
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```
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### Product and Feature Updates
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1. Quark has just dropped its latest **AI Glasses G1**, priced at an awesome **1999 yuan**! This bad boy is totally your first smart eyewear ✨, packing **Qualcomm AR1** and Hengxuan BES2800 **dual flagship chips** and supporting **3K video recording**. To keep it budget-friendly, they skipped the screen display, but honestly, this launch is a huge step for Quark as they keep pushing boundaries in smart wearables and the [AI Application Field (AI News)](https://www.aibase.com/zh/news/23170) 🚀.<br/><br/>
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2. Annoyed by hitting context limits when chatting with Claude? Anthropic is here to save the day! Now, Claude.ai can intelligently and automatically **compress early context** when your conversation approaches its limit 🤯. This means you can have those marathon chats with Claude without it "forgetting" stuff, ensuring super smooth and deep conversations. Talk about a [Clever Update - (AI News)](https://x.com/alexalbert__/status/1993711472149774474) that tackles a major user pain point head-on! 🎉
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### Cutting-Edge Research
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1. DeepSeek is back with a bang, dropping their IMO Gold Medal-level model **DeepSeek-Math-V2**, a true game-changer in the math world! ✨ This isn't just about getting the right answer; it's all about the rigor of the process. This model innovatively introduces a "**student-teacher-supervisor**" **self-verification mechanism**, teaching AI to self-reflect and correct, shifting from "results-oriented" to "process-oriented" and achieving a qualitative leap in reasoning ability 🧠. If you're into groundbreaking research, you can dive into this [Excellent Paper Interpretation (AI News)](https://github.com/deepseek-ai/DeepSeek-Math-V2/blob/main/DeepSeekMath_V2.pdf) to check it out.
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2. Moonshot AI and Tsinghua University have teamed up to create **Seer**, a reinforcement learning training acceleration engine that's basically a rocket booster for RL training 🚀, making large model training speed skyrocket by **97%**! Seer pulls this off with three "black technologies": **segmented generation**, **context-aware scheduling**, and **adaptive grouped speculative decoding**. It dramatically optimizes Rollout efficiency and slashes **93% of long-tail latency** without changing the core algorithms. This isn't just a tech win; it's an elegant "revenge" against compute costs! Go ahead and [Learn the Details of This Technology (AI News)](https://arxiv.org/abs/2511.14617) now! ✨
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3. The **NeurIPS 2025** Best Paper Awards have been announced, and guess what? Chinese scholars totally shone! Alibaba's Qwen team snagged the **Best Paper** award for their "**gated attention mechanism**" research, offering a fresh new approach to optimizing large model attention mechanisms 🏆. And get this: Kaiming He's team's classic, **Faster R-CNN**, from a decade ago, scooped up the "Test of Time Award," once again proving its legendary status in object detection. This year's [NeurIPS Award List (AI News)](https://blog.neurips.cc/2025/11/26/announcing-the-neurips-2025-best-paper-awards/) is absolutely star-studded and packed with insights for the future! ✨
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4. AI agents keep "forgetting" things during long tasks, right? 🤔 Well, Anthropic just dropped a clever **dual-agent architecture** that solves this puzzle, basically giving AI its own reliable project manager! This system is made up of a "planning agent" for... well, planning, and a "coding agent" for execution. They hand off work using **Git commits** and **progress logs**, totally ensuring task continuity and state integrity. Seriously, this [New Paradigm (AI News)](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents) of bringing software engineering discipline into AI collaboration is just too cool! 😎<br/> <br/>
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5. Multi-object tracking in drone scenarios just got a fresh solution! ✨ A new study called **AerialMind** has dropped the first large-scale **Reference Multi-Object Tracking (RMOT) benchmark** for drone vision. The researchers didn't just stop there; they built an innovative semi-automated annotation framework called **COALA** and proposed a new method, **HawkEyeTrack**, to boost vision-language representation learning. This breakthrough totally paves the way for intelligent drone systems to understand natural language commands and achieve super precise tracking 🛰️. Check out the [New Research (AI News)](https://arxiv.org/abs/2511.21053)!
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6. How on earth should we really measure developer productivity? 🤔 An empirical study called **SpaceX** uses the **SPACE framework**, digging into open-source repository data, to totally expose the limits of single-dimensional evaluation. Guess what they found? Negative emotions actually correlate positively with commit frequency, hinting at a frustrating cycle of developers constantly tweaking things. They even proposed a comprehensive productivity score (CPS) for a more all-around assessment of developer effectiveness 💡. This study is a solid reminder that understanding a developer's "heart" might just be as crucial as checking their code commit count. Find out more in this [Empirical Study (AI News)](https://arxiv.org/abs/2511.20955)!
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7. Automated code repair just hit a new milestone! The **InfCode framework** introduces an "**adversarial iteration**" mechanism, basically pitting code patches and test cases against each other in an epic battle to forge robust, unhackable patches 🛡️. This framework lets test generators specifically hunt for patch weaknesses, while the patches constantly evolve to pass these tough challenges, ultimately crushing it with a SOTA score of **79.4%** on **SWE-Bench**. This [Paper on Multi-Agent Code Repair (AI News)](https://arxiv.org/abs/2511.16004) really showcases AI's increasingly powerful capabilities in software engineering! 💪
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### Industry Outlook and Social Impact
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1. ByteDance is seriously stepping up its talent cultivation game! The **2025 ByteDance Scholarship** isn't just doubling the prize money to a whopping **200,000 yuan** 💰; they're also throwing in an extra **100,000 yuan** for the winners' supervisors as a huge shout-out for their hard work. This year's scholarship covers a bunch of cutting-edge fields like large models, robotics, and AI for Science, with 20 PhD students from top universities bagging awards. This move totally highlights ByteDance's [Emphasis on Top Tech Talent (AI News)](https://www.jiqizhixin.com/articles/2025-11-27-8) and injects new energy into industry-academia collaboration. ✨
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2. Amazon CTO **Werner Vogels** just dropped his predictions for the five major tech trends of 2026 🔮, foreseeing a new era of **human-AI collaboration** where AI is a trusty sidekick, not the main star. He particularly emphasized that **companion robots** will totally ease the global loneliness crisis, **quantum security** will be the *only* secure option, and **personalized AI tutoring** will completely revolutionize traditional education. This [In-depth Annual Forecast (AI News)](https://www.jiqizhixin.com/articles/2025-11-27) paints a vivid picture of a future where technology and humanity are deeply intertwined. ✨
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3. The US government has launched an incredibly ambitious "**Genesis Mission**," aiming to leverage **AI and big data** to supercharge scientific discovery – seriously, it's being called the "Apollo Program" of a new era! ✨ This executive order is all about integrating national resources to push AI's application in fundamental scientific research, signaling a profound shift in research paradigms. This move clearly shows AI has risen to a [National Strategic Level (AI News)](https://www.reddit.com/r/artificial/comments/1p7cyb6/us_launches_apollostyle_mission_to_harness_ai_and/), and the future looks bright! 🌟
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### Open Source TOP Projects
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1. The Alibaba Tongyi team has open-sourced **Z-Image-Turbo**, an image generation model that's a total game-changer! 🚀 It hits an astonishing **1-second image generation speed** at a 6B size, perfectly balancing speed and quality. This model doesn't just support both Chinese and English input and font overlay; the generated images also have a surprisingly faint "AI taste," with results nearly matching top-tier models, making high-quality image generation more accessible than ever before. Come on, [Experience This Amazing Tool Online (AI News)](https://huggingface.co/spaces/Tongyi-MAI/Z-Image-Turbo) and feel the thrill of ultra-fast creation! ✨<br/><br/>
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### Social Media Shares
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1. Good news for all you folks still rocking a 3060 graphics card for image generation! A netizen just shared an awesome "budget-friendly" solution for running the **Flux 2** model on **ComfyUI**, meaning no need to download those huge diffusion models or TEs. By swapping to a **GGUF Loader** and using a Q4 KM quantized model, they successfully generated high-quality 1248x832 images in just 5 minutes, and the results are pretty darn good 👍. This [Practical Workflow Sharing (AI News)](https://old.reddit.com/r/FluxAI/comments/1p7eff3/for_my_fellow_3060_peasants/) is literally a godsend for low-spec gamers!
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2. LangChain's idea of using the **file system** for **context engineering** totally aligns with Manus's core philosophy: freeing information from prompts and turning it into controllable **external states** 🤯. This approach lets agents treat the file system like their "cerebral cortex," retrieving and managing information via directory structures and command-line tools. It all points to one crucial takeaway: **Context ≠ Token Window**. This [Thoughts on Context Engineering (AI News)](https://x.com/frxiaobei/status/1994021524899013096) reveals that beyond model capabilities, excellent engineering design is still king! 👑<br/><br/>
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3. Turns out, **Next.js** static generation can be incredibly flexible! By cleverly configuring **dynamicParams** and **revalidate** parameters, you can get a massive **20 to 100-fold** boost in website loading speed ⚡. This **ISR (Incremental Static Regeneration)** mechanism lets users always access lightning-fast static pages while content silently updates in the background, perfectly balancing performance and data freshness. This detailed [Next.js Performance Optimization Guide (AI News)](https://x.com/hongming731/status/1993992696239685837) is absolutely a must-have secret weapon for frontend developers! 🌟<br/><br/>
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4. Here's a super interesting observation: Senior engineers are way more confident in directly adopting **AI agent** outputs than their junior counterparts 🤔. Why? Because they're pros at crafting **high signal-to-noise prompts** and breaking down tasks into machine-friendly units. They have a stronger prior judgment in their heads about "what's correct," letting them quickly review and verify AI-generated results, whereas junior engineers just don't have that experience and confidence yet. This [Opinion Sharing - (AI News)](https://x.com/dotey/status/1993969350844240263) really shows that coding agents are tools that amplify existing engineering capabilities, not replacements for engineers. 💡
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5. Spotify just spilled the beans on their real-world implementation of **background coding agents**, and get this: they've successfully merged **over 1500** AI-generated PRs! This totally showcases AI's massive potential in complex code migrations 🔥. By swapping out deterministic scripts for agents defined by natural language and hooking them up with **Claude Code**, they've boosted the efficiency of those super time-consuming migration tasks (think Java upgrades or UI component refactoring) by a whopping **60-90%**. This [Spotify's Practice Sharing (AI News)](https://engineering.atspotify.com/2025/11/spotifys-background-coding-agent-part-1) offers invaluable insights for companies looking to scale their AI coding agent applications. 🚀
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6. AI security issues are ringing alarm bells yet again! 🚨 Get this: an API written by **Codex**, even with some crucial fields commented out, was actually "guessed" by another Codex instance just by analyzing the method names! This is a perfect example of "**using one's spear to attack one's shield**" in action – AI-written code can totally be cracked by an AI model from the same source using probabilistic models. This [Anecdote on AI Security Loop (AI News)](https://x.com/Yangyixxxx/status/1993705745783947536) reminds us that while we're loving the convenience of AI, we absolutely have to stay super vigilant about its inherent security risks. ⚠️
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---
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## **AI News Daily Voice Version**
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| **Xiaoyuzhou** | **Douyin** |
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| [Laisheng Xiaojiuguan](https://www.xiaoyuzhoufm.com/podcast/683c62b7c1ca9cf575a5030e) | [Self-Media Account](https://www.douyin.com/user/MS4wLjABAAAAwpwqPQlu38sO38VyWgw9ZjDEnN4bMR5j8x111UxpseHR9DpB6-CveI5KRXOWuFwG)|
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