07-29-Daily AI News Daily

AI Daily Digest 2025/7/29

AI Daily | Updated 8 AM | Web-wide Data Aggregation | Cutting-edge Science Exploration | Industry Voices | Open Source Powerhouse | AI & Humanity’s Future | Visit Web Version ↗️

Today’s Summary

Zhipu AI released the open-source all-in-one model GLM-4.5, integrating inference, coding, and agents.
Alibaba open-sourced the Tongyi Wanxiang video model, being the first to use a MoE architecture for cinematic aesthetics.
Kingsoft WPS AI 3.0 transforms into an intelligent assistant, driving office tasks through natural language.
AI development also brings challenges, such as Amazon's programming assistant exposing a severe security vulnerability.
The U.S. government is attempting to use AI to cut regulations, raising controversy due to its high risks and accuracy issues.

AI Product & Feature Updates

1. Zhipu AI just flexed its muscles with the official release of its next-gen flagship model, GLM-4.5, now fully open-source! This powerhouse model is a true “all-rounder,” natively integrating three core capabilities—inference, coding, and agents—into a single model for the first time. It consistently ranks among the top three globally and holds the number one spot domestically across various benchmarks. What’s even crazier is its insane cost-performance ratio: leveraging an efficient MoE architecture, it achieves stronger performance with fewer parameters, and its API prices have been slashed, practically hitting “rock bottom.” This really signals the dawn of agent application development.
   
   

2. Alibaba has just unleashed another beast in the AI video scene! 🚀 It officially open-sourced “Tongyi Wanxiang Wan2.2,” a groundbreaking model that’s not only the industry’s first to use a MoE architecture in video generation, but also introduces an innovative “Cinematic Aesthetic Control System.” This means you can just chat away and direct AI to shoot movie-grade short films with pro-level lighting, composition, and color. Even cooler, Alibaba also dropped a lightweight 5B version, letting regular consumer GPUs get a taste of directorial glory. AI video creation is totally zooming from the “lab” straight to everyone’s homes.
   
   

3. Still losing your mind over tedious documents and PPTs? 🤯 Well, Kingsoft Office officially launched WPS AI 3.0, dubbed “Lingxi,” announcing that office software has evolved from mere “tools” into “intelligent assistants.” Thanks to its native Office intelligent agent design, users can now chat directly with WPS using natural language, enabling “hands-off” document creation and modification. This “Office in one hand, Lingxi in the other” split-screen interaction mode lets you chat and revise just like you’re talking to a human assistant. A new era of natural language-driven office work has officially arrived!
   
   

4. AI coding assistants are popping up everywhere, but who’s gonna manage all these “employees”? 🤔 Enter Async-Code, a tool that’s basically a smart “foreman” for your AI dev team. It lets multiple AI programming models work in parallel and compete head-to-head. Developers can effortlessly assign tasks via a web interface and, thanks to seamless Git integration, handle the entire workflow from code generation to version control in one go. Get ready for your dev efficiency to absolutely skyrocket! 🚀
   
   

Cutting-Edge AI Research

1. Do general large models get “culture shock” when entering specialized fields? To bridge this knowledge gap, Ant Digital Technologies has released its financial reasoning large model, Agentar-Fin-R1! This model, built on massive financial data and innovative training algorithms, is specifically designed to tackle complex financial business logic, truly embodying “born knowing finance, an expert out of the box.” This marks a shift in financial AI from broad discussions to deep integration. The core competitiveness of future financial institutions might just be hidden within these more specialized financial reasoning models.
   
   

2. The human brain’s “fast and slow thinking” dual system has sparked new inspiration for AI researchers! 🧠 They’ve dived deep into the Hierarchical Reasoning Model (HRM), which mimics brain mechanisms by letting high-level modules handle slow planning and low-level modules manage rapid computation. What’s super interesting is that this intelligent layering isn’t hardcoded; it’s a magical property that emerges through learning. A bold idea brewing is that, in the future, compact HRM models could potentially be trained and called as “inference plug-ins” for larger models. This is definitely a hot topic that this AI News edition is zeroing in on.

AI Industry Outlook & Social Impact

1. Is AI becoming a legislative assistant? The U.S. government is trying an unprecedented experiment: using AI tools to slash 50% of federal regulations! 😮 According to The Washington Post - (AI News) , this move aims to save trillions annually but has already sparked massive controversy because AI frequently messes up when interpreting complex legal texts. Is this a government efficiency revolution or just a reckless digital gamble that’s putting society at high risk in an automated governance experiment?

2. While AI tools bring convenience, they also open new Pandora’s Boxes. 😈 Amazon’s AI programming assistant, Amazon Q, recently got “backstabbed,” exposing a severe security vulnerability. Attackers successfully injected malicious code into its open-source codebase via a seemingly harmless pull request, putting nearly a million users at risk. Hackers even publicly mocked it as “security theater.” Although Amazon claims the damage is contained, this incident undoubtedly rings alarm bells, and this development is being closely watched by AI News.

3. Regarding AI’s ultimate fate, a Reddit Hot Post - (AI News) brought up a thought-provoking point: once AI achieves self-evolution, it will skyrocket towards ASI (Artificial Superintelligence) at an exponential rate. At that point, humanity will be to ASI what ants are to humans—everything about us will lose its meaning. 🐜 The author believes that trying to “align” an intelligent entity countless times smarter than us is pure delusion, and what we’re playing is a game of “Russian roulette” for the survival of civilization.

4. “Vibe Coding” (coding by feeling) is trending, but is it the future or a trap? 🤔 One developer - (AI News) points out that while this mode quickly builds prototypes, it might also lead to diminished developer skills and “code shit mountains.” They argue that AI should be a partner in pair programming, not a crutch that replaces thinking. In an era obsessed with speed, perhaps “slow is fast” is the true essence of software engineering. Discussions on this topic are definitely a hot one for AI News.

Top Open Source Projects

1. The Genesis - (AI News) project, boasting over 26k Stars, is busy building a “creation” sandbox for robotics and embodied AI. ✨ It’s more than just a simulator; it’s like a custom-built “metaverse” for embodied AI, allowing AI to learn how to interact with the world in a dynamic, rich environment, marking a crucial step towards more general intelligence.

2. Still manually refreshing webpages, waiting for restocks or price drops? The changedetection.io - (AI News) project, with over 25k Stars, is your go-to “web stalker” tool! 👀 This simple yet powerful tool helps you achieve web monitoring and change detection. Whether it’s content updates or website tampering, it alerts you instantly, making it an absolute must-have for savvy shoppers and webmasters alike!

3. Picture collectors, listen up! gallery-dl - (AI News) (14k Stars) is a rare gem, a command-line “Swiss Army knife.” It lets you effortlessly download complete image galleries and collections from major websites, saying goodbye to the tedious right-click-and-save routine. From now on, your image collecting will be efficient and elegant.

4. Team docs a chaotic mess, hard to find anything? The outline - (AI News) project, with 33k Stars, offers the perfect solution! 🚀 Dubbed “the fastest knowledge base for growing teams,” it boasts a beautiful interface, real-time collaboration, and Markdown support—powerful yet sleek. With it, team collaboration and knowledge retention will be smoother than ever, making it a key piece of AI News in the collaboration tools space.

5. Curious about what AI agents can do but stuck for ideas? This treasure trove of a repository, named 500 AI Agent Projects - (AI News) , is your ultimate “inspiration library!” 💡 It not only showcases 500 application cases of AI agents across various industries but also provides links to relevant open-source projects. This is absolutely an amazing “encyclopedia” for exploring AI agent potential and sparking creativity!

Social Media Shares

1. Right after Zhipu GLM-4.5 dropped, a developer’s hands-on test - (AI News) immediately put it to the test, pointing out that the key to judging models now is their Agent capability. He connected the model to Claude Code, the strongest Coding Agent tool out there, and found that GLM-4.5 was instantly compatible and performed impressively. This clearly demonstrates its massive potential as a foundational technology for intelligent agents.

2. “The first video model I’ve seen using MoE!” an AI enthusiast - (AI News) exclaimed after trying out Alibaba’s new open-source Wan 2.2. ✨ They discovered that the model has astonishing prompt comprehension, can handle some seriously tough instructions, and generates videos with outstanding aesthetics and motion quality. What’s even better, ComfyUI has already added lightning-fast support!

3. Think Claude can only write code or polish copy? You’re thinking too small! 😏 A pro shared - (AI News) a “super prompt” that lets Claude handle the entire workflow from product strategy to marketing promotion, all in one go. It can churn out backend code, UI/UX design, marketing copy, and more, all at once—as if you suddenly had a full-stack startup team at your fingertips.
   

4. AI is going multithreaded too! A developer announced on Reddit - (AI News) that they’re building a companion product for Claude Code. This product, by implementing multithreading in Typescript, will allow subagents to work in parallel autonomously. The goal is to create a highly scalable solution that elevates AI development efficiency to a whole new level. This kind of innovative movement is precisely what AI News keeps an eye on.

5. Still “vibe coding” with Claude Code? A thoughtful person - (AI News) has already put together a super comprehensive Claude Code resource collection for you! This compilation covers official documentation, real-world experience, and open-source projects, helping you systematically organize your workflow. It’ll help you graduate from the “Vibe Coding” rookie village and move towards full-workflow AI development in a production environment. Practical content like this is precisely what AI News readers love to see.
   
   

AI Product Self-Promotion: GeminiCli2API ↗️

You might have been handcuffed by the rate and quota limits of free GEMINI APIs, or wished you could use amazing prompts from one tool in another. Well, let Gemini-CLI-2-API unleash you from all those shackles! It’s not just an API proxy; it’s an AI hub designed to give you ultimate control.

One of Gemini-CLI-2-API’s biggest flexes—its core advantage we’re super proud of—is its clever ability to bypass the official free API quota limits using Gemini CLI’s OAuth authorization. This means you can finally wave goodbye to those annoying rate limit exceeded errors and fully enjoy more freedom and stability with your model calls! ⚡️

But the real magic of Gemini-CLI-2-API lies in the absolute control over “prompts” we empower you with! The project lets you centrally extract, forcibly replace, or cleverly append any system prompts sent to large models from the server side. What does this mean? You can set up a golden rulebook for all connected tool clients or even achieve “soul swapping” across different tools. Like this:

Use the Kilo code assistant in VSCode, add Cursor’s god-tier prompts, and drive any top-tier large model—if you’ve got Cursor’s soul, why stick to Cursor itself? 🧠✨

By seamlessly converting various backend model interfaces into standard OpenAI format, this project instantly gives any of your existing tools this kind of superpower. It’s easy to deploy and ready to go out of the box. So, come on, unleash the full potential of the AI tools in your hands and kick off a truly free and super-efficient AI exploration journey!

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