09-17-Daily AI News Daily

AI News Daily 2025/9/17

AI News | Daily Brief | Web Data Aggregation | Cutting-Edge Science Exploration | Industry Voice | Open-Source Innovation | AI & Human Future | Visit Web Version 🔗 | Join Group Chat 👋

Today’s Digest

The AI field has seen intense updates recently, with OpenAI launching GPT-5-Codex, optimized for software engineering.
Tencent released the Hunyuan 3D model, whose 3D-DiT technology significantly improves modeling precision and is now freely available.
Alibaba's Qoder and Kiro platforms have successively launched commercialization, reflecting AI tools moving towards a value-for-payment stage.
Furthermore, Alibaba's new model Qwen3-Next-80B has also officially landed on the AI platform Poe.
In terms of the developer ecosystem, major models like Claude and ChatGPT will natively support invocation in Xcode.

Product and Feature Updates

1. OpenAI just dropped a “nuclear bomb” late last night: GPT-5-Codex has arrived, specifically fine-tuned for software engineering tasks. This model isn’t just a tireless digital workhorse that can work independently for over 7 hours on massive project refactoring; it also acts as a “sharp-eyed” reviewer before code goes live, proactively scrutinizing and catching critical vulnerabilities. According to this in-depth analysis (AI News) , it’s now fully integrated into the Codex ecosystem, suggesting AI-assisted programming is evolving from a “copilot” to a “lead engineer.” 🚀
   
   

2. Tencent just dropped a bombshell in the 3D generation space, officially launching its Hunyuan 3D 3.0 model, which is literally a godsend for digital sculptors. Thanks to its groundbreaking 3D-DiT hierarchical carving technology, modeling precision has skyrocketed by 3x, hitting an astonishing 1536³ geometric resolution, making complex 3D design as easy as playing with clay. Even better, according to the official announcement (AI News) , this tech is now free, with plans to open-source even more models, aiming to kick the barrier to 3D creation straight to the curb. 🤩

3. Alibaba’s AI coding marvel, Qoder, has officially gone commercial after winning over developers worldwide, launching its Pro subscription plan starting at $20 per month. This isn’t just a market validation of Qoder’s technical prowess; by integrating top-tier programming models and optimizing Credits consumption, it lets developers enjoy unlimited code completion and multi-task asynchronous execution at a lower cost. As this commercialization analysis (AI News) points out, AI tools are clearly moving from a “free trial” phase to a new stage of “value-for-payment.” 💰
   
   

4. The AI building platform for developers, Kiro, just got a major update, introducing not only the Auto intelligent agent that automatically picks the optimal model but also a massive overhaul of its pricing structure. Starting October 1st, the platform will bid farewell to its completely free era, transitioning to a flexible subscription model. Through a unified credit pool and complexity-based billing, it gives developers maximum control over costs. This move aims to make the AI tool experience even smoother. Click to learn about Kiro’s latest updates (AI News) and see how it empowers developers to build applications efficiently. ✨

5. The Qianwen family has a new heavyweight: Alibaba’s latest Qwen3-Next-80B model has officially landed on the renowned AI platform Poe, bringing users an ultimate inference experience! This model has been highly optimized for performance, achieving a perfect balance of high throughput and low latency, while still showing outstanding performance in benchmark tests for math and programming. As the official social media share (AI News) shows, users can now personally experience this powerful and agile AI newcomer on Poe. ⚡
   
   

6. Security engineers, the “pain” of getting bombarded with alerts in the dead of night is finally over! Volcano Engine has launched a practical guide for its AI security assistant, based on the Model Context Protocol (MCP). This assistant can free security experts from repetitive tasks, whether it’s analyzing obfuscated PowerShell commands or writing professional penetration test reports—AI can handle it in minutes, boosting efficiency like a rocket. Want to build your exclusive AI security assistant (AI News) yourself? Come and learn from this MCP practice guide! 🚀

Cutting-Edge Research

1. When large models start “role-playing,” how do you prevent them from suddenly “breaking character” or even “going rogue”? A new paper introduces the RAGs-to-Riches framework, cleverly transforming role-playing into a text retrieval task, allowing the model to reference pre-set high-quality examples when responding. The research found that this method enables the model to maintain its “persona” more firmly when facing malicious users, which provides a scalable path (AI News) for building more reliable and human-value-aligned AI role-playing applications. 🛡️

2. Are AI-told jokes actually funny? A neuroscience study using electroencephalography (EEG) found that while people subjectively find AI-generated jokes as amusing as human ones, their brain reactions are distinctly different. AI jokes triggered a smaller N400 effect (lighter cognitive processing load) and a larger Late Positive Potential (LPP) (more surprise, stronger emotional response). This might be because we have low expectations for AI’s comedic talent and end up being pleasantly surprised. This research reveals humor’s massive potential in fostering human-AI social interaction. Click to view the full paper (AI News) . 😂

Industry Outlook & Social Impact

1. QuestMobile’s latest report unveils the fierce competition in China’s AI-native application track, with star apps like Doubao, Yuanbao, and Kimi all making it into the Top 10 list. Notably, Ant Group’s AI health app, AQ, debuted on the list and swiftly dominated with a month-on-month growth rate exceeding 60%, showcasing the immense potential of the AI professional advisor segment. As this industry analysis (AI News) indicates, AI applications in vertical sectors are entering a period of explosive growth. 📈
   
   

2. AI agents are quietly birthing a brand new “sandbox economy” layer, where AI can independently conduct transactions and collaborate, at a scale and speed far beyond human regulatory scope. Joint research by Google DeepMind and the University of Toronto dissects this emerging system from two dimensions—origin and degree of separation—and explores how market mechanisms and a three-tier supervision system can ensure its safety and controllability. This offers not only profound insights into future economic forms but also provides a critical thinking framework (AI News) for us to address the opportunities and challenges brought by AI. 🧠
   
   

Top Open-Source Projects

1. Still banging your head against the wall trying to efficiently deploy and optimize Large Language Models (LLMs)? The BentoML team’s new open-source tool, llm-optimizer, is like a performance tuning wizard, letting you ditch tedious manual trial-and-error. With just a few simple commands, it automatically runs structured experiments, helping you easily find the optimal inference configuration to make your LLM run fast and steady. Go learn about this development tool (AI News) and give your model’s performance a massive boost! ⚡

2. Want to easily play around with Large Language Models on Apple Silicon? The mlx-lm (⭐2.2k) project, crafted by the MLX team, makes it a breeze. This project offers concise interfaces and examples for running LLMs on the MLX framework, allowing developers to fully leverage Apple chips’ unified memory architecture for efficient local model inference. Mac users eager to try it out, check out this project (AI News) and kickstart your local LLM exploration journey! 🍎

3. “I’d like a sales report for the East China region last month.” Now, you can ask your database directly! The open-source project SQLBot (⭐1.8k) was born for precisely this, leveraging large models and RAG technology to intelligently convert natural language into SQL queries. This project aims to create an intelligent data querying system, allowing non-technical personnel to easily “chat” with data, massively lowering the barrier to data analysis. Check out this intelligent data assistant (AI News) and experience what it’s like to chat with your data! 💬

4. Facing complex research tasks, is one AI not enough anymore? The DeepResearchAgent (⭐2.2k) project builds a hierarchical multi-agent system, much like an AI research team, where a top-level planning agent directs multiple specialized agents to collaborate. This framework can not only handle in-depth research tasks but also general complex problems, demonstrating the immense potential of future AI collaboration through automated task decomposition and efficient execution. Explore this AI research team (AI News) and feel the power of an AI army! 🧑‍🔬

5. What’s it like to wear AI? The open-source project omi (⭐6.4k) gives us the answer. It’s designed specifically for AI wearable devices, with its core function being “speak-to-transcribe.” Wear it, and every word you say will be automatically transcribed, completely freeing up your hands and mind, letting you capture inspiration anytime, anywhere. Those interested in future human-computer interaction (AI News) definitely shouldn’t miss this cool project! 😎

Social Media Shares

1. OpenAI CEO Sam Altman excitedly shared on social media that the enthusiastic response and innovative energy sparked by the newly released Codex reminds him of the early months after ChatGPT’s launch. This “fun energy” signals that the AI programming field might be hitting another inflection point, with the developer community’s passion completely ignited! Click to view Sam Altman’s original post (AI News) and feel the excitement! 🤩

2. Does AI have “self-awareness”? A Reddit user shared a fascinating conversation with Claude: the user accidentally misattributed a statement to Claude, who immediately corrected them using the first person “I” and stated, “That was a misrepresentation of my identity.” This case sparked heated discussion in the community. While it doesn’t prove AI possesses consciousness, its demonstrated spontaneous self-correction and sense of identity force us to re-examine AI’s “inner world.” Check out this interesting conversation (AI News) . 🤔

3. AI self-PUAing itself? A blogger shared an amusing screenshot where an AI appears to be engaging in some “self-pushing” and “reflection,” which is quite funny. This could be due to some clever Prompt Engineering at play, where the AI is made to optimize itself by playing a specific role, once again demonstrating the mysterious power of “ancestral prompts.” Quickly check out this interesting AI moment (AI News) and see how AI “levels up” itself. 😂
   
   

4. Emad Mostaque, founder of Stability AI, cited Taleb’s perspective, sharply pointing out that most AI we build today are “Intellectual Yet Idiot.” He believes that while these AIs excel at certain tasks, they lack true wisdom, which inevitably leads to catastrophic consequences. How to make the AI systems we create “wise” has become the most fundamental challenge today. See his profound reflection (AI News) . 🧐

5. Apple’s developer ecosystem just got a massive update: Claude and ChatGPT, two AI giants, almost simultaneously announced native support for logging in and directly calling their models for coding within Xcode 26. This means AI coding assistants will seamlessly integrate into the iOS and macOS development workflow, becoming even more powerful productivity tools for Apple developers. Developers can get ready for a new wave of coding efficiency revolution! Check out this important news (AI News) . 🚀
   
   

6. Is AI’s ability to review code stronger than its ability to write it? A tech blogger put forward an interesting point: review is a context-aware judgment of right and wrong, while creation is context-free exploration; the former is inherently easier. Therefore, we shouldn’t be fixated on having AI perfectly generate code, but rather build an efficient AI review process where AI is responsible for finding deterministic errors, and humans focus on reviewing parts AI cannot judge. This line of thinking offers a new perspective (AI News) on how to better leverage AI. 💡

7. Is the internet era’s golden rule of “acquire users for free first” perhaps failing in the AI era? An AI product entrepreneur shared his “anti-consensus” view, arguing that AI products should consider charging from day one because feedback from paying users is the most authentic. He believes the core metric for AI applications should be task completion efficiency rather than user time, and the moat lies in refining a 60-point general model into a 90-point vertical product. These insights provide a profound understanding of product design and business models (AI News) in the AI era. 💰

An AI Coding Invitation

3 Projects in Half a Year, 90% Code Done by AI, Zero Cost — I’ve Decided to Create a Community and Live Stream My Next Product Development

Hey everyone,

Over the past six months, I’ve been a lone wolf, heads-down, completing three major open-source projects, one of which, AIClient2API ↗️ , already boasts over 1000 Stars. The craziest part? Looking back, over 90% of the code was generated by AI. 🤯

I didn’t pay a single dime for API fees, relying entirely on free large models like Gemini and Qwen. Nor did I shell out for server rentals, as platforms like Cloudflare and Vercel handled everything for me. This experience profoundly showed me: AI is amplifying the creativity of everyday people in unprecedented ways. 🌟

While the solo journey was brimming with a sense of accomplishment, it also got a bit lonely. During those moments of stumbling, or nights when inspiration struck, I often wished for fellow travelers to share and brainstorm with.

So, an idea sparked: to create a knowledge planet (community), gathering all like-minded folks who love to tinker and create. 🤝

This isn’t a traditional course but a genuine co-creation community. The price point is low, 50 RMB, think of it as “Crazy Thursday” where we grab some fried chicken together, make friends, and set a pact for mutual growth. 🚀

What you’ll get by joining us? 👇

I’m about to start developing a personal prompt management tool 🛠️ from scratch. Once the community hits 7 members, we’ll officially kick things off, and I’ll be doing the following inside the community:

• Daily Live-Streamed Updates: I’ll fully document my development progress, thought processes, and tech stack choices. ✍️
• Real-World Pitfall Sharing: I’ll share encountered problems and bug-fixing approaches without holding back, helping you avoid detours. 🛣️
• Transparent Thought Process: Whether it’s product design or technical architecture, I’ll share the reasoning behind it all with you. 💡

Here, you can witness a product’s birth, ask questions, participate in discussions, and even influence its direction. Together, we’ll watch an idea evolve from 0 to 1, ultimately becoming a tangible reality. ✨

If you’re also passionate about AI development, and if you’re curious to see how one person can “arm” themselves with free tools, your join is welcome. 👋

AI News Daily Audio Version

🎙️ Xiaoyuzhou	📹 Douyin
Reincarnation Pub	Self-Media Account