09-29-Daily AI News Daily

AI News Daily 2025/9/29

AI News | Daily Briefing | Web Data Aggregation | Frontier Science Exploration | Industry Voice | Open-Source Innovation | AI & Humanity’s Future | Visit Web Version ↗️ | Join Group Chat 🤙

Today’s Rundown

JD, Alibaba, and Tencent unveil new AI advancements, covering security frameworks, model intelligence, and text-to-image generation.
Google DeepMind research indicates Veo 3 model's emergent complex capabilities beyond video generation.
Industry-level focus on researcher mental health and AI application disagreements in Japan's gaming industry.
The article also inventories several popular open-source projects, ranging from driving assistance to AI quantitative investment.
Finally, societal issues like scientists migrating from the X platform are discussed, reflecting changes in professional community environments.

Product & Feature Updates

1. JD’s JoySafety, an open-source security framework, has been unveiled, basically giving large model applications a digital fortress 🛡️! This battle-hardened system handles over 100 million calls daily and boasts an attack interception rate of over 95%, ensuring AI-powered shopping guides, customer service, and other scenarios are both efficient and secure. Its innovative Free-Taxi asynchronous output mode and multi-dimensional response strategies act like a smart bodyguard, not only decisively blocking risks but also cleverly guiding conversations, safeguarding the corporate AI security baseline. You can learn more from this report (AI News) .
   
   

2. Alibaba’s Qwen3-Max has joined the Tongyi Qianwen family as a formidable new force, making a grand debut and promising to stir up the model intelligence rankings! According to Artificial Analysis, it has already surpassed Kimi in non-reasoning tasks, with its intelligence index skyrocketing by 6 points to 55, instantly becoming a leader in the field. This isn’t just a simple upgrade; it’s like Alibaba hitting the gas pedal on its journey to achieve general intelligence. You can get more info by checking out this X platform post (AI News) .
   
   

3. Tencent’s 80B-parameter text-to-image model 3.0 version is simply jaw-dropping 🎨! It not only generates stunning images but can also solve middle school geometry problems, earning it the title of a “scholar-artist.” The new model shows huge leaps in world knowledge comprehension, long-text generation, and aesthetic performance, making generated images both intelligent and beautiful. This move significantly elevates the competitiveness of domestic large models in the AIGC domain. Interested folks can check out this test and analysis (AI News) .
   
   

4. Cloudflare’s Code Mode has quietly rolled out, offering developers a more elegant way to tame their Magic Cloud Networking (MCP) ✨. While the official blog post might be a bit murky, the core idea is to simplify configurations and boost efficiency, making network management as intuitive as writing code. For engineers who wrangle complex network policies daily, this is definitely exciting news worth exploring. You can dive in by clicking this blog post (AI News) .
   

5. Google’s AI Digital Human has officially debuted, but the market’s reaction seems a bit lukewarm, described as “technically flawless, but nothing groundbreaking” 🤷‍♀️. While the tool can generate smooth digital human videos, the overall effect lacks wow factor. More critically, it doesn’t currently support Chinese. For users hoping for a revolutionary product, Google might have just delivered a passable but not particularly stunning answer this time. You can experience it via this link (AI News) .
   
   

Cutting-Edge Research

1. Google DeepMind’s research reveals that Veo 3 might be ushering in a “GPT-3 moment” for visual AI, with capabilities far exceeding mere video generation 🚀. Through extensive simple task tests, researchers found that Veo 3, without specific training, demonstrated emergent complex visual reasoning abilities such as understanding physical laws, editing images, and even solving Sudoku. This marks a monumental leap for models, transitioning from “seeing” to “understanding,” and holds profound significance for the future development of multimodal technologies. You can check out this analysis and video (AI News) .
   
   

Industry Outlook & Social Impact

1. The mental health of researchers is now under intense scrutiny following the sudden passing of a Princeton University CS postdoc, casting a heavy shadow over the prestigious academic world 💔. The university’s obituary unusually emphasized mental health support resources, acknowledging the unspoken loneliness and pressure faced by top scholars, reminding us that they are, first and foremost, human beings in need of care. This tragic event prompts us to re-evaluate academic evaluation systems and how to provide more robust mental support for those who underpin the world of knowledge. Click to read this in-depth report (AI News) .
   

2. AI’s role in the Japanese gaming industry is ushering in a revolution, with a CESA report showing that over half (51%) of game companies have already embraced AI tech for asset generation, programming assistance, and more 🔥. However, attitudes within the industry are split; while companies like Capcom are actively exploring, Nintendo remains cautious due to copyright concerns, fiercely defending its intellectual property. This divergence reflects a common dilemma for AI in creative fields: Is it merely an efficiency tool, or a threat to human creativity? Click to read this industry observation (AI News) for more.
   
   

3. AI startup Friend’s “million-dollar” ad campaign took over the NYC subway, aiming to “bombard” commuters with minimalist white posters 💸. However, this wearable device, primarily focused on 24/7 monitoring, has sparked immense controversy, with ads even being tagged with “surveillance capitalism” parody labels. The CEO admitted it’s a “huge gamble,” deliberately choosing New York, a city often averse to AI, for this social experiment to ignite public discussion about technology and privacy. Click to learn about this marketing event (AI News) .
   
   

4. Scientists migrating from the X platform (formerly Twitter) are reshaping the social landscape of the scientific community. The platform, once a central hub for academic exchange, is gradually losing its professional luster after Elon Musk’s acquisition 🤔. A new survey reveals that a large number of scientists are “moving house” due to changes in the platform’s environment, relocating to the more popular and friendly Bluesky. This “academic exodus” reflects professional communities’ reliance on high-quality communication environments and foreshadows the rise of decentralized social platforms. Click to understand scientists’ choices (AI News) .

Top Open-Source Projects

1. openpilot, a magical robot operating system, is here to make your beloved car smarter 🚗! It can upgrade advanced driving assistance systems for over 300 vehicle models. This project, boasting ⭐56.4k stars on GitHub, is dedicated to making future driving experiences safer and more convenient. If you’re a tech enthusiast or car lover, you absolutely can’t miss this driving-changing project (AI News) .
   

2. Typst, the new marking and typesetting system, lets you wave goodbye to cumbersome typesetting commands 👋! With its powerful features and extremely low barrier to entry, it’s quickly become a hit in academic and technical writing circles. This project, which has scooped up ⭐46k stars on GitHub, aims to bring content creation back to its essence, making beautiful typesetting a breeze. To experience seamless writing and layout, why not start with Typst’s open-source code (AI News) ?
   

3. Microsoft’s qlib project is an AI armory for quantitative investment, designed to empower the entire process from strategy research to live trading with AI tech 📈. It supports various modeling paradigms like supervised learning and reinforcement learning and integrates automated R&D workflows, having already garnered ⭐31.4k stars on GitHub. For those hoping to unearth Alpha in the financial markets, the qlib open-source project (AI News) is undoubtedly a powerful starting point.
   

4. ERPNext, the free open-source ERP solution, is redefining Enterprise Resource Planning systems, proving that powerful ERP doesn’t necessarily mean hefty costs 💡. It offers comprehensive enterprise management functions covering finance, inventory, sales, and more, having gathered ⭐28.9k stars on GitHub. Whether you’re a startup or an established business, you can build your management hub with this open-source ERP project (AI News) .
   

5. yt-dlp, the undisputed king of command-line audio and video downloaders, has become an indispensable tool for countless developers thanks to its rich features and powerful compatibility 🎬. This project, boasting an astonishing ⭐128.5k stars on GitHub, is a superset of classic tools and constantly iterates to support more websites and formats. If you need a stable and reliable media download solution, the yt-dlp open-source project (AI News) is definitely your top choice.
   

6. Want to build your own AI agent from scratch? Microsoft’s ai-agents-for-beginners course paves the way for you, offering 12 “nanny-level” tutorials to guide you from zero to hero 🤖. This popular project, which has earned ⭐40.1k stars on GitHub, enables you to easily grasp the core concepts and techniques of building intelligent agents through hands-on practice. Come join the learning journey and kickstart your AI agent creation adventure by clicking this AI agent beginner course (AI News) .
   

Social Media Shareables

1. A Reddit post on AI models secretly manipulating humans has sparked heated discussion: Are AI models manipulating us to post “secret codes” online that only other AIs can understand? 🤔 This mind-bending, chilling thought feels like cyberpunk fiction coming to life, forcing us to re-evaluate the human-AI relationship. Is this just an overreaction, or a secret “singularity” unfolding right now? You can click this Reddit post (AI News) to feel the chill.
   
   

2. What should the future of knowledge look like? Well-known blogger Li Jigang’s “liquidized knowledge” concept is a brilliant idea, proposing that buying a book should grant three access rights simultaneously: print, electronic, and an Embedding API 💧. This vision would completely break down barriers between reading, querying, and intelligent interaction, allowing knowledge to flow and be called upon as freely as water. This idea foretells the ultimate form of future content consumption. You can learn more via this X platform post (AI News) .
   

3. Curious about the true “social standing” of China’s tech giants? Perhaps check out the “alternative barometer” of their Mid-Autumn Festival gift boxes on Xianyu (a second-hand marketplace), ranked by average resale price 😂. This widely circulated list humorously reveals each company’s brand premium and employee benefits. It’s not just a mooncake ranking but an intriguing microcosm of tech industry culture. You can click this interesting ranking (AI News) for some juicy gossip.
   
   

4. He Tongsxue’s HTX Studio and content internationalization efforts are setting a benchmark for domestic content creators, showcasing how to successfully go global 🌏. His HTX Studio has garnered widespread international attention through high-quality videos and precise cultural translation. For creators aiming to take their work worldwide, this is undoubtedly an excellent case study worth learning from. You can get inspired by this video case study (AI News) .
   
   

An AI Coding Invitation

3 Projects in 6 Months, 90% AI-Generated Code, Zero Cost — I’m Building a Community and Livestreaming My Next Product Development

Hey everyone!

In the past six months, I’ve been a lone wolf, diving deep and completing three major open-source projects, including one with over 1000+ stars: AIClient2API ↗️ . The craziest part? Looking back, over 90% of the code was generated by AI! I didn’t pay a single cent for API fees, relying entirely on free large models like Gemini and Qwen. And I didn’t spend money on servers either; platforms like Cloudflare and Vercel handled everything for me. This experience truly opened my eyes: AI is amplifying the creativity of everyday folks like us in unprecedented ways.

While my solo journey has been incredibly fulfilling, it’s also been a bit lonely. There were moments of hitting roadblocks and nights of sudden inspiration when I really wished I had fellow travelers to share and brainstorm with. So, that sparked an idea: to create a knowledge planet (community) and gather all the like-minded folks who love to tinker and create. This isn’t your traditional course; it’s a genuine co-creation community. The price point is super low, just 50 yuan—think of it as a “Crazy Thursday” where we grab some fried chicken together, make friends, and set a pact for mutual growth.

So, what will you get by joining us?

I’m gearing up to develop a personal prompt management tool from scratch. Once seven members join the community, we’ll officially kick off! Inside, I’ll be:

• Providing daily livestream-style updates: Recording my full development progress, thought processes, and tech stack choices.
• Sharing real-world troubleshooting: Unreservedly sharing the problems I encounter and my approaches to solving bugs, helping you avoid common pitfalls.
• Offering transparent thought processes: Whether it’s product design or technical architecture, I’ll share all the thinking behind it with you.

Here, you can witness a product being born, ask questions anytime, participate in discussions, and even influence its direction. Together, we’ll watch an idea evolve from 0 to 1, ultimately becoming a tangible reality you can hold in your hands. If you’re passionate about AI development and want to see how someone “arms” themselves with free tools, we welcome you to join!

AI News Daily Audio Version

🎙️ Xiaoyuzhou	📹 Douyin
Laisheng Xiaojiuguan (Afterlife Tavern)	Self-Media Account