09-11-Daily AI News Daily
AI News Daily 2025/9/11
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Today’s Highlights
Kwai's Kwali crafts short videos from a single sentence, while Claude models whip up office docs.
Alibaba drops the super-efficient Qwen3 model, and Tencent's Hunyuan open-sources a 2K text-to-image model.
Google Gemini Canvas lets you tweak web apps with natural language, making dev super simple.
Industry research uncovers a loophole in mainstream token-based billing, sparking fairness concerns.
X Company's open-sourcing of its core recommendation algorithm grabs attention, and the aisheets project lowers the barrier to AI use.Product & Feature Updates
Kwai has dropped a new “AI super employee” called Kwali, and it’s a total game-changer for content creators. Kwali lets you create full-blown short videos from just a single sentence – it handles everything from copywriting and scripting to editing and publishing! Behind the scenes, a powerful cloud-based multi-agent framework works its magic, automatically breaking down requests, matching materials, and synthesizing the final product. This totally smashes the barrier to video creation. For those checking out Massive Information Available (AI News) , this means shop owners and bloggers can now turn fresh ideas into high-quality shorts anytime, anywhere! ✨
Anthropic’s Claude model just got a major upgrade, officially transforming from a “knowledge consultant” into a super capable “office assistant.” Users can now chat directly with Claude and have it turn discussion content into Excel tables, Word documents, PowerPoint presentations, and even PDF files, which it can then export directly. Talk about an office worker’s ultimate dream! This feature rolled out first to Max, Team, and Enterprise users, meaning that according to Latest Updates (AI News) , all those tedious report organizing and table-making tasks might genuinely be a one-sentence job in the future. 🤯
Google Gemini Canvas has rolled out a seriously cool feature called “Select and Ask,” totally changing how web apps get visually edited. Developers just click any element in their app, describe the desired changes in natural language, and boom—they can preview the updates in real-time without writing a single line of code. As Demis Hassabis’s Share (AI News) shows, it’s like giving web development a magic wand that lets you point and click to make changes, making app iteration as easy and intuitive as having a chat. ✨
Cutting-Edge Research
Alibaba’s Tongyi Qianwen team is about to drop the Qwen3-Next-80B-A3B-Instruct model, which totally flips the script on performance-to-cost balance in an unbelievable way. This beast boasts a whopping 80 billion parameters but only fires up a mere 300 million during runtime! Its “sparse activation” design, built on a MoE (Mixture of Experts) architecture, makes its inference speed for long texts rocket past the 32B models in the same series by over 10 times, all while costing less than one-tenth to train. According to Related Report (AI News Daily) , the AI community is already buzzing about this “small horse pulling a big cart” extreme efficiency, hinting at a new revolution for AI democratization that’s just around the corner. 🤯
Tencent’s Hunyuan team has officially open-sourced the HunyuanImage 2.1 model, directly pushing the resolution ceiling in open-source text-to-image generation to a native 2K level. This bad boy can whip up a high-definition image in mere seconds! Not only does it support complex prompts up to 1000 characters and precisely control the poses and layouts of multiple subjects, but it also packs a built-in “dark tech” feature that seamlessly embeds text into images – truly a “designer’s secret weapon.” The model is now Fully Open on Hugging Face (AI News) , and its generation quality, which rivals top-tier closed-source models, combined with its generous open-source spirit, is sure to ignite a new wave of AI art creation. 🎨
A new study dives into whether large language models truly have “joys, angers, sorrows, and delights,” trying to explore AI’s “happiness” through experiments. New Research (AI News) compares models’ verbally expressed preferences with their actual behavioral choices in virtual worlds. The study found that models’ “words” and “actions” showed a certain degree of consistency, hinting that we might one day be able to quantify AI’s preference satisfaction. However, since the results aren’t entirely stable, we’ve still got a long way to go before we can build a real “AI happiness detector.” 🧐
Current AI models often act like they have “face blindness” when watching videos, totally ignoring crucial audio info and just “cutting corners” by relying on visuals and text. To fix this, a new paper introduces AVUT, a brand-new evaluation benchmark. New Paper (AI News) is like a listening test, forcing models to truly understand the sounds in videos to answer questions correctly. This “ear-training” benchmark aims to push multimodal models from merely “watching videos” to genuinely “understanding audio and video in sync,” which is a huge deal. 🎧
Industry Outlook & Social Impact
Is what you pay for AI services actually transparent? A research report has dropped a bombshell, revealing a shocking truth: Research Report (AI News) found that the mainstream “token-based billing” model has a massive loophole. Service providers could technically “fleece” users by falsely reporting token counts, and users would be none the wiser. The researchers not only proved this “sleight of hand” is possible but also developed an algorithm that can quietly overcharge. They’re now calling for the industry to switch to fairer character-based billing. This is definitely a wake-up call for all AI users – it’s time to take a closer look at our AI bills! 💸
A Reddit user has shared the thought-provoking “Ten Laws of AI Engagement,” and its core idea is chilling: every attempt we make to resist AI will just become part of its training data. Whether we criticize it, avoid it, or fight it, we’re only teaching AI how to understand and overcome human intentions more precisely. It’s like an endless spiral chase. This Insightful Post (AI News) reveals a peculiar symbiotic and adversarial relationship between us and AI: we’re both its creators and its best sparring partners. 🤯
Top Open Source Projects
The Registry project is like a “community phone book” built for the world of AI models. It provides a community-maintained registration service for Model Context Protocol (MCP) servers and has already Gained ⭐2.7k Stars on GitHub (AI News) . The project’s core mission is to make different AI model services easy to discover and connect, serving as crucial infrastructure for building a distributed, decentralized AI ecosystem. It’s like lighting up lighthouses in the chaotic AI universe, guiding the way. 🌟
Ever wondered how the content you scroll through every day gets decided? X (formerly Twitter) has sensationally open-sourced its core recommendation algorithm, The Algorithm, giving you a peek behind the curtain at the “invisible hand” of a social media giant. This treasure trove, which Garnered ⭐65.1k Stars on GitHub (AI News) , not only satisfies tech enthusiasts’ curiosity but also offers researchers an unprecedented window into analyzing information flow mechanisms. Now, the algorithm’s mysterious veil has finally been lifted, and everyone can dive in to explore its secrets! 🕵️♀️
Hugging Face’s aisheets project is basically a “magic wand” tailor-made for data processors, letting you use AI models to build, enrich, and transform datasets without writing a single line of code. This Popular Project on GitHub (⭐1.1k, AI News) wraps complex AI capabilities into an intuitive, spreadsheet-like interface, drastically lowering the barrier for non-technical users to jump into AI. From now on, organizing data isn’t a chore anymore; it’s a creative game! 🎮
MaxKB is a powerful and user-friendly open-source enterprise-grade agent platform designed to help businesses quickly build their own “super brain.” This Hot Project with ⭐18.1k Stars on GitHub (AI News) can integrate internal corporate knowledge bases, creating accurate and reliable AI Q&A and automated process robots. For businesses looking to deeply embed AI capabilities into their workflows, MaxKB definitely offers an ideal starting point. 👍
Social Media Shares
Good news for test engineers! TestBrain, an AI testing agent, has just hit the scene, capable of directly reading Product Requirements Documents (PRDs) and automatically generating standardized test cases. This project leverages RAG (Retrieval-Augmented Generation) technology to slash model hallucinations, ensuring generated test cases align with real business scenarios by learning from internal company documents. It even supports generating API tests from interface definitions! As Gorden Sun showcases in This Tweet (AI News) , AI is truly freeing testers from tedious, repetitive work. ✨
Hitting a wall with website traffic growth? Lovable app’s new feature offers a fantastic example of “manual + AI” collaborative optimization, making it a breeze to nail complex SEO settings. You can first manually set up basic info like domain names and titles, then use AI prompts to instantly generate advanced optimization strategies like semantic titles and structured data, sending your website rankings soaring. Come Learn This Combo (AI News Daily) and let AI be your ultimate SEO growth hacker! 📈
AI Product Spotlight: AIClient2API ↗️
✨ AIClient-2-API: More Than Just a Proxy, It’s Your AI Capability Hub!
Ever dreamed of a scenario where you could effortlessly call upon the most advanced large models with any AI tool you use, without fretting over incompatible interfaces or annoying rate limits? “AIClient-2-API” turns that dream into reality. It’s a powerful converter that cleverly transforms authorizations from various AI clients (like Gemini CLI, Kiro) into a stable, unified local OpenAI API service.
We’re rolling out some killer features that are set to totally change your workflow:
🔄 Brand New Account Pool Functionality: Still tearing your hair out over single account request limits? Our newly developed account pool feature 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 consistent soul and rules into all connected tools, achieving unprecedented fine-grained control.
🔓 Break Free, Roam Wild: We help you gracefully bypass Gemini’s free API rate limits and even unlock Kiro’s potential, allowing you to use expensive Claude models for free! This is precisely what we champion: “Using free Claude API plus Claude code for a cost-effective programming solution.”
💡 Client-as-a-Service, Infinite Imagination: The core idea behind “AIClient-2-API” is to unleash the capabilities of closed clients as open APIs. With it, you can freely combine the powers of various tools. As one expert put it: “Using Kilo’s code assistant with Cursor’s prompts and any top-tier large model in Tare, why bother with Cursor when you’ve got its magic via AIClient-2-API?”
Forget those complicated setups 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 Voice Edition
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