11-18-Daily AI News Daily

AI News Daily 2025/11/18

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Today’s Summary

Google NotebookLM now boasts a new image import feature that automatically recognizes and parses handwritten formulas in images.
In frontier research, AI scientist Kosmos debuted, completing about six months of human workload in a single run.
Industry-wise, Meta executives addressed AI investment bubble concerns, stating their $72 billion annual expenditure is well under control.
Andrej Karpathy, on the other hand, posits AI as Software 2.0, highlighting verifiability as the key to its automation capabilities.
In the open-source community, JetBrains has launched DPAI Arena, a competitive platform for AI coding agents.

Product and Feature Updates

1. Alibaba’s Tongyi Qianwen has hit a major milestone, welcoming ten million users! This is just the beginning of a grand narrative. The official team hinted in this announcement that a broader era of intelligence is on the horizon. This isn’t just a numerical victory; it’s the dawn of a new paradigm for universal creation. Get ready! ✨
   

2. Google’s Veo 3.1 model is now acting like a creative chef! You just need to provide three reference images – people, scenery, and style – and it’ll whip up a stunning 8-second, 1080p video for you. According to this report (AI News) , this “video ingredients” feature is now available to Gemini Pro/Ultra users, making video creation as simple as ordering from a menu. The character consistency and lighting coherence are absolutely seamless – it’s pure magic! 🎬
   
   

3. Google NotebookLM’s new image import feature lets you turn your casual snaps of classroom whiteboards or textbooks into a searchable personal knowledge base! The system automatically recognizes and parses handwritten formulas and tables in images, allowing you to ask questions naturally. You can find more details in this news . Google even plans to integrate AR glasses in the future, aiming for the ultimate “what you see is what you ask” learning experience. Super helpful! 🧠
   
   

4. YouTube seems to be quietly rolling out its own AI assistant, a delightful surprise function users stumbled upon! As this share demonstrates, the built-in “Ask” feature and AI video summaries let you quickly grasp key content before watching and ask questions anytime. This completely transforms video consumption, turning one-way viewing into an interactive knowledge exploration journey. Game on! 🎮
   

5. Google, with its brand-new File Search API, seems to have given complex RAG engineering a “reprieve” – or maybe even a death sentence! As this blogger sharply pointed out, developers no longer need to fuss over chunking, embedding, and vector retrieval. Now, you can just dump files into a “store” and ask questions. Google has irreversibly compressed the entire RAG tech stack’s complexity into the platform’s underlying layers. Talk about a game-changer! ✨

Frontier Research

1. Kosmos, the tireless new colleague, has arrived in the scientific community! This AI scientist can accomplish approximately six months of human workload in just a single run. Utilizing an innovative structured world model, it integrates papers, runs code, and proposes hypotheses within incredibly long contexts of over ten million tokens, already leading to multiple original scientific discoveries. To dive into this research paradigm-shifter, check out this in-depth report (AI News) or go straight to its technical paper . Mind-blowing! 🤯
   

2. Transformer Copilot presents a fascinating idea: imagine an AI model learning with a “copilot” sitting right next to it, specifically tasked with correcting its mistakes! Researchers designed this “Copilot” model to learn from the “error logs” generated by the main model (Pilot) during fine-tuning, correcting its inference results in real-time. This novel “master-apprentice” framework teaches AI to reflect and improve, significantly boosting its performance across multiple benchmarks. Pretty neat, right? ✨

3. AI voice systems: Can they really pick up on human social cues? An an interesting paper discovered that when asked to speak “politely and formally,” top-tier AI voice systems unconsciously slow down their speech, perfectly mimicking human behavior. This shows that AI isn’t just learning language; it’s subtly absorbing our complex social and cultural nuances. It’s quietly transforming from a mere tool into a “social actor” that truly understands the room. How wild is that? 🗣️

Industry Outlook & Social Impact

1. Meta executives are staying cool amidst worries about an AI investment bubble. They calmly stated that while a $72 billion annual expenditure sounds wild, everything is totally under control. They believe this massive investment isn’t some crazy gamble but a strategic play for the future, already showing real returns through their advertising and recommendation systems. As this report from Goldman Sachs points out, compared to historical tech waves, our current investment is nowhere near “out of control.” 😎

2. Privacy: Are we trading it for AI’s convenience? A community discussion revealed a harsh truth: most people are willing to sacrifice data sovereignty for convenience. The core of this debate revolves around the power abuse of centralized AI and the challenges of auditing it. While local models offer a glimmer of hope, hardware limitations and platform ecosystem barriers mean the path to privacy protection is still a long and winding one. Something to chew on, right? 🤔

3. Andrej Karpathy made a brilliant analogy: AI isn’t electricity; it’s Software 2.0, and its automation superpower lies in verifiability. As this excellent summary (AI News) explains, tasks whose results can be quickly and objectively evaluated (like programming and math) will be automated first. Meanwhile, domains involving creativity, strategy, and other hard-to-quantify areas will remain human intellectual strongholds for the foreseeable future. Food for thought! 🧠
   

4. A clever video, crafted with AI tools, vividly illustrates how our brains gradually fall into addiction. As Xiaohu’s share (AI News) points out, this video echoes a study showing that short-video platforms are profoundly altering our brain structures and cognitive abilities. It’s not just a showcase of AI’s creative prowess; it’s a deep reflection on our digital lifestyle. Kinda makes you think, doesn’t it? 🤔
   

Open Source TOP Projects

1. The cursor-free-vip project is your savior when you hit that dreaded “trial limit reached” message in Cursor! This tool, which has already snagged a whopping ⭐42.2k stars on GitHub (AI News) , automatically resets your machine ID, letting you easily bypass restrictions. It’s like an unlimited refill key, unlocking the door to Pro features for you. Score! 🚀

2. The WSABuilds project makes it a breeze to run Android apps natively and smoothly on Windows! It provides integrated WSA packages with Google Play Store and Root permissions pre-installed, earning it a stellar ⭐13.3k stars on GitHub (AI News) . Say goodbye to tedious configuration and hello to a one-click journey into the Android ecosystem on your PC. Super cool! 🔥

3. JetBrains’ DPAI Arena is an open benchmarking platform designed to answer a crucial question: What’s the real skill level of AI coding assistants? It’s basically a “gladiatorial arena” for AI coding agents! This ambitious project aims to measure AI productivity in real-world workflows and plans to eventually hand over management to the Linux Foundation to ensure fairness and neutrality. You can check it out here (AI News) for more deets. Pretty exciting stuff! 🤩
   

Social Media Shares

1. The AI tool protocol MCP: Is it the future, or just an over-engineered “new term”? A fierce debate is raging in the developer community . One side argues that existing models’ function call capabilities are already robust enough, making a new protocol unnecessary. The other firmly believes MCP holds irreplaceable value in scenarios like unified authentication, tool discovery, and remote access. The battle rages on! Who do you got? 🥊

2. An article claiming “only three types of AI products can succeed” has sparked a massive debate and pushback in the developer community . Many folks pointed out that this classification totally overlooks tons of commercially successful non-chat AI applications like Grammarly and DeepL. They stressed that AI’s true value lies in boosting efficiency, not in some unrealistic fantasy of full automation. This discussion is a good reminder to watch out for “survivor bias” that can pop up from limited community perspectives. Food for thought! 🤔

3. Shao Meng offers some savvy advice for when your timeline suddenly gets spammed with the same new product, “Muset”: This usually screams “concentrated PR campaign!” His seasoned tip? Just tag it, let the dust settle for a bit. If the hype’s still real a week later, then dive in. This move is a smart way to filter out all that marketing foam. Good call! 💡

4. Yangyi dropped a “human-flavor disguise” trilogy in a tweet (AI News) for making AI-generated text sound more “authentic”: Ditch the dashes, swap quotes for “「」”, and throw in a deliberate typo or two. This darkly humorous guide has us spotting a whole new batch of “human-AI collaborations” masterpieces all over social media. LOL! 😂

5. Kosmos’s power is truly mind-blowing: Imagine an AI that can integrate thousands of papers and autonomously perform complex reasoning for months, just like a human scientist! As this share (AI News) reveals, its core is a structured world model, enabling it to maintain logical coherence across tens of millions of tokens. This isn’t just about enhanced model memory; it’s a fundamental revolution in scientific research. Get ready for a paradigm shift! 🚀
   

6. Baoyu shared a simple yet super effective trick in this post (AI News) for those racking their brains over perfect prompts: Instead of making AI play a complex role, just tell it to “explain this paper to a high school student.” This small shift often gets AI to churn out the most straightforward and on-point answers. Genius! ✨
   

7. Gemini Vision has turned processing those tricky, blurry invoice photos from a nightmare into a piece of cake! A developer shared his automation workflow on Reddit (AI News) , demonstrating that Gemini Vision can accurately extract structured data even from super low-quality images. This perfectly showcases how modern vision models are tackling gnarly real-world problems. So cool! 🔥

AI News Daily Audio Edition

🎙️ Xiaoyuzhou	📹 Douyin
Laisheng Xiaojiuguan	Self-Media Account