07-31-Daily AI News Daily

AI News Daily 2025/7/31

AI Daily | Updated 8 AM Daily | Aggregating Data from Across the Web | Exploring Frontier Science | Industry’s Free Voice | Open-Source Innovation Power | AI and the Future of Humanity | Visit Web Version ↗️

Today’s Digest

ChatGPT has rolled out a guided learning mode, while Google NotebookLM can now turn notes into videos.
Alibaba has released the efficient open-source model Qwen3-30B, and AMD processors now support large model local execution.
The AI video generation field is heating up with intensified competition, and Chinese large models are notably performing well on open-source community leaderboards.
Zhipu AI's low-price strategy is accelerating the commoditization of Tokens, and AI-assisted programming is also introducing new challenges.
Frontier research is exploring AI motion understanding and stronger reasoning frameworks, pushing AI from mere imitation towards deeper cognition.

AI Product and Feature Updates

  1. OpenAI’s ChatGPT has launched “Study Mode,” transforming AI from a straight-answer “ace student” into a patient, guiding mentor. This powerful feature is now fully available to free users, making personalized education accessible to everyone. In a surprising twist, its complete AI News: System Prompt Light-Speed Cracked by Netizens has been swiftly deciphered by netizens, offering us a peek into the secrets of AI’s “tailored teaching.” 🤔
    AI News: AI Tutor Mode

  2. Google’s AI note-taking app NotebookLM has introduced a “Video Overview” feature, which is seriously a game-changer for lazy learners! 🤩 After users upload their material, AI can automatically generate short videos with narration, transforming complex concepts into vibrant audiovisual feasts. While currently English-only, Google Has Promised Future Multi-Language Support , making the AI-driven learning revolution something to really look forward to.

  3. Alibaba’s Tongyi Qianwen team has pulled off a “four ounces against a thousand pounds” feat, releasing their latest open-source model, Qwen3-30B-A3B-Instruct-2507. This model, activating only 3 billion parameters, can challenge closed-source giants like GPT-4o in core capabilities such as math and code. This achievement paves a new path for low-cost deployment of AI applications, with the model already Fully Open-Sourced on ModelScope and HuggingFace - AI News . 🚀
    AI News: Alibaba New Model

  4. Xiaomi Auto issued a timely “reality check” when pushing out its end-to-end assisted driving system update. The official statement firmly emphasizes that assisted driving at this stage is absolutely not autonomous driving, and technological advancement cannot replace human vigilance. This declaration reminds all car owners to always stay focused and be responsible for safety, which is precisely the industry responsibility focus of this AI News issue.
    AI News: Xiaomi Safety Reminder

AI Frontier Research

  1. A recent study titled MOVE: Motion-Guided Few-Shot Video Object Segmentation has revealed a massive blind spot in the field of AI vision. Researchers created the MOVE dataset specifically to test AI’s ability to identify objects based on their motion patterns, and the results showed that top models generally performed poorly. This research uncovers AI’s “dynamic vision blindness,” pointing to new directions for future research, and it’s a tech frontier AI News continues to track.

  2. The JAX framework is becoming a crucial “adhesive” as AI controlling robots is no longer science fiction. Google developers revealed that JAX cleverly connects traditional model control theory with cutting-edge deep learning techniques, making efficient optimal control possible. This heralds a new era where future robots will possess stronger autonomous decision-making capabilities. Go check out Learn How JAX Empowers Robots with Intelligence - AI News .

  3. Graph-R1 is ushering in a new paradigm for the Retrieval Augmented Generation (RAG) field, cleverly integrating three major technologies: agents, graph RAG, and reinforcement learning. This triune architecture indicates that RAG technology is moving from mere information retrieval to deeper levels of reasoning and decision-making. This offers a more powerful New Approach (AI News) for tackling complex problems.
    AI News: Graph-R1 Architecture

AI Industry Outlook and Social Impact

  1. AMD’s Ryzen AI Max+ 395 processor is making running trillion-parameter models locally no longer a dream, transforming PCs into AI workstations! This processor now supports running ultra-large models with up to 128 billion parameters locally. Thanks to its unique Mixture-of-Experts (MoE) mode, tasks that once required expensive servers can now be accomplished on mini PCs, significantly lowering the Threshold for High-End AI Applications - AI News . 💪
    AI News: AMD Ryzen AI

  2. “I’ve never fought a war so rich!” a developer exclaimed after experiencing Zhipu AI’s “1 trillion tokens for just 50 yuan” package. This Anecdote (AI News) vividly reflects the fierce “price war” in the AI model market, as giants push costs to the absolute limit. While this is a huge boon for developers, it also signals that the industry is about to enter a brutal reshuffle. 💸
    AI News: Developer’s Exclamation

  3. HuggingFace’s authoritative leaderboard recently saw a “leaderboard domination” spectacle, with nine out of the top ten models surprisingly coming from China! This overwhelming advantage sparked heated discussions within the community, showcasing not only the concentrated strength of China’s AI technology but also marking the Rapid Rise in Influence within Open-Source AI Ecosystem - AI News of China globally. 🎉

  4. A Reddit user posed a thought-provoking Perspective (AI News) : when AI begins to “reverse engineer” humans, what should we be wary of? AI deconstructing our thoughts and emotions might not be for imitation, but rather for surpassing us. This reminds us that the ultimate question in AI development might be the philosophical challenge of coexisting with a potentially superior intelligence. 🤔

  5. Is AI programming a sweet treat or poison? A developer contributed over 20,000 lines of code to an open-source project using “Vibe Coding,” yet left the project maintainers in an Amusingly Awkward Predicament . This interesting case reveals new challenges that AI-assisted development brings to collaboration and code quality control, which is also one of the focuses of AI News. 🤦‍♀️
    AI News: AI Code Merge Challenge

Top Open Source Projects

  1. Alibaba Tongyi Lab’s open-source WebAgent - AI News project is like an intelligent web surfer endowed with superpowers. It can autonomously search for information and execute tasks on the internet, painting a blueprint for the next generation of smart search. 🌐
    AI News: WebAgent Project

  2. Still struggling with team knowledge management? The Outline - AI News project, boasting over 33k stars on GitHub, aims to be “the fastest knowledge base for growing teams.” With its beautiful interface and real-time collaboration support, it’s an ideal choice for building your team’s knowledge system, and its developments are a key focus for AI News.

  3. If you’re looking for a self-hostable project management tool, Focalboard - AI News , with over 24k stars, is definitely worth checking out. It perfectly replicates the core functionalities of Trello and Notion, allowing you to keep your project data firmly in your hands and achieve true “data freedom.”

  4. The open-source project Prompt-Optimizer - AI News , which has garnered over 11k stars, is your personal optimization master for crafting high-quality prompts, a key to mastering large models. It helps you refine your prompts, allowing AI to better understand your intentions and generate more stunning results.

  5. Large model inference slow? Why not try LMCache - AI News ? It tackles performance bottlenecks by providing an ultra-fast KV cache layer. It’s like a “turbocharger” that can significantly boost the response speed of LLM applications and enhance user experience.

Social Media Shares

  1. Kuaishou’s video generation model Kling has received a major upgrade, with results that are simply “wild”! 💥 User shares indicate that the new version of the model has made qualitative leaps in facial clarity, lighting processing, and motion smoothness. For content creators, this is yet another evolution in productivity tools, and AI News highly recommends it.

  2. Video editing tool Runway’s latest model Aleph has been opened to some users, and from the first leaked Experience Video - AI News , its effects are “a bit too strong.” It seems Runway wasn’t kidding this time; Aleph’s performance might set a new industry benchmark again. ✨

  3. A blogger shared the ultimate solution for “Vibe Coding” using Trickle AI: Can AI programming really be “write wherever you think”? This AI News: Super Detailed Guide meticulously breaks down how to build a fully functional information aggregation website with just one afternoon and 6 dollars.

  4. The core secret to getting AI to help you write code efficiently is “planning first, clear structure.” Before letting AI start coding, take the time to write clear specifications (specs) and provide rich context. Remember, Clear Planning - AI News is the key to efficient collaboration; AI is your co-pilot, not autonomous driving.
    AI News: AI Programming Planning

  5. Is the role-playing prompt “You are an XX expert” actually useful? It’s actually quite scientific! This isn’t hocus pocus, but an effective probabilistic guidance, instructing AI to prioritize calling upon “high-quality” information related to that role. So, Next Time You Write a Prompt, Don’t Forget to Give Your AI a Clear Role - AI News .

  6. Following OpenAI, the system prompt for AI development tool Trickle has also been unearthed, sparking heated discussion over its “tool-driven, mandatory execution” design philosophy. Is this “no-nonsense” Execution Style - AI News the future form of AI Agents, or does it stray from the original intention of “intelligence”?

  7. Why isn’t your content taking off? The “copy first, then surpass” methodology is blunt but extremely effective. First, replicate popular content from top bloggers; once your fundamentals are solid, then delve into user needs for secondary creation and gradually establish your own style. This Practical Guide - AI News points content creators toward a clear path for advancement.

  8. A seasoned developer posed a soul-searching question on Reddit: How do you build truly “reliable” AI agents? This revealed the vast chasm between tutorials and the real world. This Post - AI News solicited “secret tips” from the community that can’t be learned from tutorials, sparking a deep discussion about building highly reliable AI.

AI Product Self-Recommendation: GeminiCli2API ↗️

Gemini-CLI-2-API is your ultimate solution if you’re tired of constantly switching between various AI models and being tied down by annoying API rate limits! This isn’t just any ordinary API proxy; it’s a magic box that can “turn base metal into gold” for tools like Gemini CLI and Kiro client, transforming them into powerful OpenAI-compatible APIs. ✨

This project’s core appeal lies in its “reverse thinking” and powerful features:

Client to API Transformation, Unlocking New Possibilities: We cleverly leverage Gemini CLI’s OAuth login, allowing you to easily bypass the rate and quota limits of official free APIs. What’s even more exciting is that by encapsulating the Kiro client’s interface, we’ve successfully cracked its API, enabling you to seamlessly call the powerful Claude model for free! This offers you an “economical and practical solution for programming development using free Claude API plus Claude Code.”

System Prompts, Under Your Control: Want to make your AI more obedient? We provide powerful System Prompt management features. You can easily extract, overwrite, or append system prompts in any request, finely tuning AI behavior on the server side without needing to modify client code.

Top-tier Experience, Commoner’s Cost: Imagine using Kiro Code Assistant in your editor, combined with Cursor’s efficient prompts, all paired with any top-tier large model—with Cursor, why even need Cursor? This project lets you combine elements to create a development experience comparable to paid tools, all at an extremely low cost. It also supports MCP protocol and multi-modal inputs like images and documents, so your creativity knows no bounds. 🚀

Say goodbye to cumbersome configurations and hefty bills, and embrace this new AI development paradigm that’s free, powerful, and flexible all in one! 💪


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