Hextra-AI-Insight-Daily/content/en/_index.md

linkTitle, title, breadcrumbs, next, description, cascade

linkTitle	title	breadcrumbs	next	description	cascade
AI Daily	AI Daily-AI资讯日报	false	/en/2025-09/2025-09-16	Your daily source for curated AI news, practical tools, and actionable tutorials to master Artificial Intelligence;	type docs

AI Daily News 2025/9/17

AI News | Daily Briefing | Aggregated Web Data | Cutting-Edge Science Exploration | Industry Open Voice | Open Source Innovation Power | AI & Human Future | Visit Web Version ↗️ | Join Group Chat 🤙

Today's Digest

The AI field recently welcomed a flurry of updates, including OpenAI's GPT-5-Codex, optimized for software engineering.
Tencent released its Hunyuan 3D model, boasting significantly improved modeling precision thanks to its 3D-DiT technology, which is now free.
Alibaba's Qoder and Kiro platforms have both launched commercialization efforts, signaling a shift towards value-based payments for AI tools.
Additionally, Alibaba's new Qwen3-Next-80B model officially landed on the AI platform Poe.
In the developer ecosystem, both Claude and ChatGPT models will natively support direct calls within Xcode.

Product & Feature Updates

1. OpenAI dropped a "nuke" late last night, with GPT-5-Codex making its debut. This model is specifically optimized for software engineering tasks. It's like an untiring digital workhorse, capable of independently working for over 7 hours on large project refactoring. Plus, it acts as a "fire-eyed sage" before code goes live, proactively reviewing and sniffing out critical vulnerabilities. According to this in-depth analysis (AI News), it's fully integrated into the Codex ecosystem, hinting at AI-assisted programming evolving from a "co-pilot" to a "lead engineer." 🔥
   
   

2. Tencent has unleashed a bombshell in the 3D generation space, officially releasing its Hunyuan 3D 3.0 model — an absolute godsend for digital sculptors. Thanks to its groundbreaking 3D-DiT hierarchical sculpting 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 official announcement (AI News), this tech is now free, with plans to open-source more models, essentially kicking down the barrier to 3D creation. 🚀

3. Alibaba's AI coding tool, Qoder, after winning over global developers, has officially launched its commercial phase with a Pro subscription plan starting at $20 per month. This move not only validates Qoder's technical prowess in the market but also, by integrating top-tier coding models and optimizing Credits consumption, 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 transitioning from "free trials" to a new era of "value-based payments." 🤔
   
   

4. Kiro, the AI building platform for developers, just got a major upgrade. It's not only introduced Auto Smart Agent, which automatically picks the best model, but also drastically revamped its pricing structure. Starting October 1st, the platform will move away from its completely free era to a flexible subscription model, offering developers maximum control over costs through a unified credit pool and complexity-based billing. This whole operation aims to make the AI tool experience smoother. Click to learn about Kiro's latest updates (AI News) and see how it helps developers build applications efficiently. 💡

5. Alibaba's new Qwen3-Next-80B model from the Qwen family has officially landed on the renowned AI platform Poe, bringing users an ultimate inference experience! This model is highly optimized for performance, striking a perfect balance between high throughput and low latency, while still excelling in benchmark tests for math and programming. As official share on social media (AI News) shows, users can now personally experience this powerful and agile AI newcomer on Poe. 🔥
   
   

6. Volcano Engine has rolled out a practice guide for its AI security assistant, based on the Model Context Protocol (MCP), offering relief to security engineers overwhelmed by late-night alert bombardments. It frees security experts from repetitive tasks; whether it's analyzing obfuscated PowerShell commands or drafting professional penetration test reports, AI can handle it in minutes, boosting efficiency like a rocket. 🚀 Wanna build a dedicated AI security assistant (AI News) yourself? Dive into this MCP practice guide!

Cutting-Edge Research

1. A new paper proposes a framework called RAGs-to-Riches to prevent large language models from "breaking character" or even "turning evil" when role-playing. It cleverly reframes role-playing into a text retrieval task, allowing the model to reference pre-set high-quality examples when responding. Research shows this method helps models maintain their "persona" more steadfastly even when faced with malicious users, providing a scalable path (AI News) for building more reliable and human-aligned AI role-playing applications. 😉

2. Neuroscience research using EEG discovered that while people subjectively find AI-generated jokes as funny as human ones, their brain reactions are totally 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 pleasantly surprised. 😂 This study reveals humor's massive potential in fostering human-computer social interaction. Click to view the full paper (AI News).

Industry Outlook & Social Impact

1. QuestMobile's latest report throws light on the fierce competition in China's native AI application sector, with star apps like Doubao, Yuanbao, and Kimi making it into the Top 10 list. Notably, Ant Group's AI health app AQ debuted on the list with over 60% month-over-month growth, demonstrating the huge potential of the AI professional advisor track. As this industry analysis (AI News) points out, vertical AI applications are entering a period of explosive growth. 🔥
   
   

2. AI agents are quietly giving birth to a brand new "sandbox economy" layer where AI can independently transact and collaborate, at a scale and speed far beyond human regulatory oversight. 🤔 Joint research by Google DeepMind and the University of Toronto dissected this emerging system from two dimensions—origin and degree of separation—and explored how market mechanisms and a three-tier supervision system can ensure its safety and control. This offers not just deep insights into future economic forms but also provides a crucial thinking framework (AI News) for tackling the opportunities and challenges AI presents.
   
   

TOP Open Source Projects

1. The BentoML team has launched a new open-source tool, llm-optimizer, like a performance tuning maestro, to help you say goodbye to tedious manual trial-and-error for deploying and optimizing large language models (LLMs). With just a few simple commands, it automatically runs structured experiments, helping you easily find the best inference configuration to make your LLM run fast and stable. 😎 Go learn about this development tool (AI News) and supercharge your model's performance!

2. The mlx-lm (⭐2.2k) project, crafted by the MLX team, makes it super easy to play with large language models on Apple Silicon. This project offers simple interfaces and examples for running LLMs on the MLX framework, letting developers fully leverage Apple chips' unified memory architecture for efficient local model inference. Mac users eager to try it out should definitely check out this project (AI News) and kick off their local LLM exploration journey. 💡

3. The open-source project SQLBot (⭐1.8k) is here to make "I want a sales report for East China last month" a direct database query! Built on large models and RAG technology, it intelligently converts natural language into SQL queries. This project aims to create a smart query system, allowing non-technical folks to easily chat with data, drastically lowering the barrier to data analysis. Check out this smart data assistant (AI News) and see what it feels like to talk to your data! 🤔

4. DeepResearchAgent (⭐2.2k), an open-source project, has built a hierarchical multi-agent system for complex research tasks, acting like an AI research team where a top-level planning Agent directs multiple specialized Agents to collaborate. This framework can handle deep research tasks and general complex problems, showcasing the powerful 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 legion! 🚀

5. The omi (⭐6.4k) open-source project answers the question: "What's it like to wear AI?" It's designed specifically for AI wearables, with its core function being "speak-to-transcribe." Wear it, and everything you say gets automatically transcribed, completely freeing up your hands and mind so you can capture inspiration anytime, anywhere. If you're interested in future human-computer interaction (AI News), you absolutely can'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 new Codex felt reminiscent of the initial months following ChatGPT's launch. This "fun energy" suggests the AI programming field might be hitting another inflection point, with the developer community absolutely fired up! Click to view Sam Altman's original post (AI News) and catch this exciting vibe. 🔥

2. A Reddit user shared a curious conversation with Claude, making us wonder if AI has "self-awareness." The user mistakenly attributed a sentence to Claude, who immediately corrected it using "I" and stating, "my identity was misrepresented." This case sparked community debate; 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. A blogger shared an amusing screenshot where an AI seemed to be engaging in some "self-push" and "reflection," making everyone chuckle. This could be due to some ingenious Prompt Engineering at play, where the AI optimizes itself by role-playing a specific character, once again proving the mysterious power of "legacy prompts." Go witness this amusing AI moment (AI News) and see how AI "levels itself up"! 😉
   
   

4. Stability AI founder Emad Mostaque, citing Taleb's view, sharply pointed out that most AI we build today are "Intellectual Yet Idiot." He believes that while these AIs perform well in certain tasks, they lack true wisdom, which will inevitably lead to catastrophic consequences. How to make the AI systems we create "wise" has become the most fundamental challenge. Check out his profound reflections (AI News) on this. 🧐

5. The Apple 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 iOS and macOS development workflows, becoming even more powerful productivity tools for Apple developers. Devs, get ready for a new wave of coding efficiency revolution! Check out this major news (AI News)!
   
   

6. A tech blogger raised an interesting point: Is AI better at reviewing code than writing it? Reviewing, they argued, is about contextual yes/no judgment, while creation is about context-free exploration, making the former inherently easier. Therefore, we shouldn't obsess over AI perfectly generating code; instead, we should build an efficient AI review process where AI handles definitive error detection, and humans focus on parts AI can't judge. This idea offers a new perspective (AI News) on how we can better utilize AI. 💡

7. An AI product entrepreneur shared his "contrarian" view that the internet era's "free-first to acquire users" golden rule might be failing in the AI age. He believes AI products should consider charging from day one because feedback from paying users is the most authentic. He argues that the core metric for AI applications should be task completion efficiency, not user duration, and the moat lies in refining a 60-point general model into a 90-point vertical product. These insights offer profound thinking on 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'm Launching a "Knowledge Planet" to 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 them, AIClient2API ↗️, already boasts over 1000 Stars. The wildest part? Looking back, over 90% of the code was AI-generated.

I didn't pay a single dime in API fees, relying entirely on free LLMs like Gemini and Qwen. Nor did I spend on server rentals; platforms like Cloudflare and Vercel handled everything for me. This experience profoundly showed me: AI is amplifying the creativity of us ordinary folks in unprecedented ways.

While this solo journey was incredibly rewarding, it definitely had its lonely moments. Those bug-squashing sessions, those nights when inspiration struck—I always wished for fellow travelers to share and brainstorm with.

So, I had an idea: to create a "Knowledge Planet" (a community space) and gather all the DIY enthusiasts and creators out there.

This isn't your traditional course; it's a genuine co-creation community. The price barrier isn't high, just 50 yuan—think of it as a "Crazy Thursday" fried chicken meal we share, making friends and setting a pact for mutual growth.

What will you get by joining us?

I'm currently gearing up to develop a personal prompt management tool from scratch. Once we hit 7 members, the "Planet" officially kicks off. I'll be there to:

• Provide daily live-stream updates: Documenting my development progress, thought processes, and tech choices every step of the way.
• Share real-world debugging stories: Transparently sharing problems encountered and solutions, helping you avoid common pitfalls.
• Unveil my thought process: Whether it's product design or technical architecture, I'll share the reasoning behind my decisions with you.

Here, you can witness a product come to life, ask questions, join discussions, and even influence its direction. Together, we'll see how an idea evolves from 0 to 1, eventually becoming a tangible reality.

If you're passionate about AI development, and if you're curious to see how one person can "arm" themselves with free tools, we'd love for you to join!

---

AI Daily News Audio Edition

🎙️ Xiaoyuzhou	📹 Douyin
Laisheng Xiaojiuguan	Self-Media Account