---
linkTitle: AI Daily
title: AI Daily-AI资讯日报
breadcrumbs: false
next: /en/2025-09/2025-09-13
description: Your daily source for curated AI news, practical tools, and actionable
  tutorials to master Artificial Intelligence;
cascade:
  type: docs
---
## AI News Daily 2025/9/14

> AI News | Daily Morning Read | All-Network Data Aggregation | Frontier Science Exploration | Industry Free Voice | Open Source Innovation Power | AI and Human Future | [Visit Web Version↗️](https://ai.hubtoday.app/) | [Join Group Chat🤙](https://raw.githubusercontent.com/justlovemaki/CloudFlare-AI-Insight-Daily/main/docs/images/wechat.png)

### Today's Summary

```
Kuaishou Kling launches new Avatar feature for realistic digital humans, Doubao Aistudy introduces AI tutor.
Westlake University tackles rampant AI-generated papers with AiraXiv and DeepReview systems.
Google DeepMind develops new tech to significantly reduce LIGO detector noise and boost observation capabilities.
Baidu's open-source ERNIE model tops Hugging Face global charts thanks to its outstanding performance.
AI coding sparks heated debate, its tool value varying with developer skill, prompting industry reflection.
```

### Product and Feature Updates

1.  Doubao Aistudy, an AI tutoring product, is quietly revolutionizing home education with astonishing results. Users simply snap a photo of a problem, and its **AI teacher** guides children step-by-step through solutions using voice and drawing, breaking down complex topics. A [Real User Share (AI News)](https://x.com/vista8/status/1966840180578676849) suggests this immersive, interactive learning experience already exceeds many expectations. ✨
<br/>![AI News: Doubao Aistudy AI Tutor Product Demo](https://source.hubtoday.app/images/2025/09/news_01k51vfkzqeeht08yjkpgskg4m.avif)<br/>

### Frontier Research

1.  Westlake University is tackling the deluge of AI-generated academic papers with a 'fight fire with fire' approach, launching the **AiraXiv** platform and the **DeepReview** peer-review system. AiraXiv provides dedicated archiving for AI-generated scholarly works, while DeepReview simulates human expert thought processes, delivering high-quality review feedback in minutes to address the problem at its source. This [Frontier Research on arXiv (AI News)](https://arxiv.org/abs/2503.08569) reveals its AI reviewer's performance even surpasses GPT-o1, opening up new possibilities for the future of academic publishing. ✨
<br/>![AI News: DeepReview Review Process Flowchart](https://source.hubtoday.app/images/2025/09/news_01k51vfqadfs4s6b058487wn20.avif)<br/>

2.  Google DeepMind is making waves again, this time helping humanity 'listen' to the universe's heartbeat—gravitational waves. Their latest achievement has landed in the top-tier journal **Science**. They developed **Deep Loop Shaping** technology, which uses AI to slash the noise intensity of LIGO detectors in the **10-30Hz** low-frequency range to just **1/30th** of its original level, massively boosting the signal-to-noise ratio. This breakthrough not only sees LIGO's [Observable Universe Volume Skyrockets 70% (AI News)](https://www.science.org/doi/10.1126/science.adw1291), but it also means we can detect cosmic events like black hole mergers much earlier. Pretty cool, right? 🤯
<br/>![AI News: LIGO Detector Working Principle Diagram](https://source.hubtoday.app/images/2025/09/news_01k51vftwpex4t7dkef2mqkksp.avif)

3.  CogGuide is a new research proposing a solution to a common pain point: large models often 'take shortcuts' during reasoning instead of truly understanding. This method builds a 'comprehend-plan-select' cognitive process, guiding the model like a cognitive coach through zero-shot, full-modality reasoning. It effectively curbs the model's tendency to cut corners. This [Thought-Provoking Paper (AI News)](https://arxiv.org/abs/2509.06641) shows that by simply using clever guidance, without fine-tuning model parameters, AI's reasoning ability can be significantly boosted with exceptional universality. Pretty smart, right? 🤔

4.  New research has proposed a clever countermeasure to a persistent problem: data is the lifeblood of deep learning models, but high-quality labeled data is expensive and scarce, often leading to overfitting. A [New Research Proposes a Clever Countermeasure (AI News)](https://arxiv.org/abs/2404.02353) leverages advanced text-to-image diffusion models to "conjure up" new training samples for **semantic data augmentation**. This approach not only expands datasets but also significantly boosts the model's generalization capabilities in unseen domains, making AI much more 'worldly-wise.' Pretty neat! ✨

5.  The **FA-VAE** framework has been proposed by researchers to address a common issue: ever feel like AI-generated images sometimes lack texture or have blurry details? A [Latest Deep Analysis Paper (AI News)](https://arxiv.org/abs/2509.05441) reveals the root cause: existing models, when compressing images, generally exhibit a bias against **high-frequency information**, leading to the loss of fine textures. This framework acts like a 'high-frequency hearing aid' for AI, enabling it to reconstruct sharp image details much better and generate more realistic works. Big win for visual quality! 🖼️

### Industry Outlook and Social Impact

1.  The debate over AI coding assistant pricing—$20 or $200 a month, which offers more bang for your buck? An [In-depth Online Discussion (AI News)](https://x.com/dotey/status/196685276333281453) provides the answer: it totally depends on the user's skill level. For coding pros, expensive tools are 'divine weapons' that generate immense value; for newbies, they might just be 'performance beasts' that are tough to tame. Ultimately, the bottleneck is the human itself. Food for thought! 🤔

2.  **AI Coding** is a scorching hot topic in tech circles, and a [Popular Post on Hacker News (AI News)](https://readhacker.news/s/6Bz4F) quickly sparked intense debate, even escalating to the philosophical realm of 'perception is reality.' This wave of discussion perfectly mirrors the polarized views within the industry on AI programming capabilities: fervent embrace on one side, cautious observation on the other. This very debate about code, truth, and the future is an excellent footnote to the 'singularity approaching.' Wild stuff! 🤯

### Top Open Source Projects

1.  Baidu's latest open-source **ERNIE-4.5-21B-A3B-Thinking** model has surprisingly parachuted to the #1 spot on Hugging Face's global model trend charts! 🎉 This lightweight **MoE** model, built on Baidu's proprietary PaddlePaddle framework, boasts outstanding reasoning capabilities and a **128K** long context window, making it a "must-have" for Agent products. This move not only garnered a retweet and recommendation from the Hugging Face CEO but also significantly boosted the presence of domestic large models in [Discussion in the Open Source Community (AI News)](https://x.com/vista8/status/1966810908963037392). What a splash! 🚀
<br/>![AI News: ERNIE Model Tops Hugging Face Charts](https://source.hubtoday.app/images/2025/09/news_01k51vfxvhep7aqvk8x6g8yndd.avif)
<br/>

2.  **PowerShell**, the Swiss Army knife for system administrators and developers, is no longer just for Windows; it's now a powerful tool for all systems. This evergreen project, [Boasting ⭐48.6k Stars on GitHub (AI News)](https://github.com/PowerShell/PowerShell), proves its robust cross-platform vitality and irreplaceable status. Whether it's for automated operations or complex script writing, it's one of the most reliable buddies in your toolkit. Super useful! 💻

3.  The **codebuff** project offers an elegant solution for those tired of constantly hopping between IDEs and terminals, letting you summon code generation magic directly within your terminal. ✨ Though young, this tool has already garnered ⭐1.3k stars in the [GitHub Community (AI News)](https://github.com/CodebuffAI/codebuff) thanks to its 'use-and-go' convenience, showing immense potential to become a new favorite for developers' efficient workflows. Pretty slick! 🚀

4.  **simdjson** is your savior when performance becomes a bottleneck—it's a 'performance monster' capable of parsing JSON at gigabytes per second! 🚀 This project, with its extreme speed, is already being used by many renowned companies like Meta and ClickHouse in their core products. Its [GitHub Homepage (AI News)](https://github.com/simdjson/simdjson) boasts a whopping ⭐21.2k stars. If you're dealing with massive JSON data, it's definitely the top pick. Seriously fast! 💨

5.  The **flash-linear-attention** project is the 'energy-saving accelerator' born to tackle this: attention mechanisms are major power hogs for large models. This project provides an efficient implementation for the most advanced **linear attention models**, aiming to make models larger, faster, and more resource-efficient. It's one of the key technologies driving AI architecture evolution. The project quickly attracted ⭐3.1k stars in the [Open Source Community (AI News)](https://github.com/fla-org/flash-linear-attention), signaling a bright future for linear attention. Super efficient! ✨
    
---

## AI Product Spotlight: [AIClient2API ↗️](https://github.com/justlovemaki/AIClient-2-API)

### 🌟 AIClient-2-API: More Than Just a Proxy, It's Your AI Power Hub!

AIClient-2-API turns this fantasy into reality: imagine a scenario where you can effortlessly call upon top-tier large models with any AI tool, without fretting over incompatible interfaces or annoying rate limits. This powerful converter cleverly transforms authorizations from various AI clients (like Gemini CLI, Kiro) into a stable, unified local OpenAI API service.

We've packed in some game-changing features that will revolutionize your workflow:

🔄 **New Account Pool Feature**: Still battling single account request limits? Our brand-new account pool lets you configure multiple model accounts, enabling automatic round-robin and failover. Say goodbye to single points of failure and give your AI services enterprise-grade high availability! 💪

🧠 **Prompt Alchemy**: This might just be the most powerful proxy feature you've ever seen! You can easily **extract, override, or even append** all system prompts flowing through it. This means you can inject a unified soul and set of rules into all connected tools, achieving unprecedented fine-grained control. ✨

🔓 **Break Free, Roam Wild**: We've got your back, elegantly bypassing Gemini's free API rate limits and unlocking Kiro's potential, allowing you to **use expensive Claude models for free**! This aligns perfectly with our advocacy: **using free Claude API with Claude code for an economical and practical programming solution**. 🚀

💡 **Client as a Service, Imagination Unleashed**: The core philosophy of "AIClient-2-API" is to liberate closed client capabilities into open APIs. With it, you can freely combine the power of various tools. As one expert put it: "**Using kilo code assistant with Cursor's prompts and any top-tier large model in tare, why even use Cursor?**" The possibilities are endless! 🤯

Forget the cumbersome configurations and constant switching! "AIClient-2-API" helps you consolidate resources and focus on creation itself. Join now and kickstart your AI superpower journey! 🚀
    
---

## AI News Daily Audio Version

| 🎙️ **Xiaoyuzhou FM** | 📹 **Douyin** |
| --- | --- |
| [Next Life Pub](https://www.xiaoyuzhoufm.com/podcast/683c62b7c1ca9cf575a5030e) | [Self-Media Account](https://www.douyin.com/user/MS4wLjABAAAAwpwqPQlu38sO38VyWgw9ZjDEnN4bMR5j8x111UxpseHR9DpB6-CveI5KRXOWuFwG)|
| ![Pub](https://source.hubtoday.app/logo/f959f7984e9163fc50d3941d79a7f262.md.png) | ![Intelligence Station](https://source.hubtoday.app/logo/7fc30805eeb831e1e2baa3a240683ca3.md.png) |