10-24-Daily AI News Daily

AI News Daily 2025/10/24

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Today’s Summary

Kuaishou StreamLake released its AI programming product matrix, with its flagship model surpassing GPT-5 in benchmark tests.
In cutting-edge research, Google's Willow quantum chip achieved verifiable quantum advantage for the first time, calculating molecular structures at ultra-fast speeds.
In the industry, Meta cut 600 positions in its AI department while still recruiting for its superintelligence team.
Additionally, AI luminary Karpathy believes Tokenizers hinder AI development, advocating for AI to directly take pixels as input.
In the security domain, OpenAI's newly released Atlas browser was exposed to a serious prompt injection vulnerability.

COMET Browser Recommendation

1. AI search newcomer Perplexity has officially made its flagship product — Comet browser, aiming to reshape the internet experience — available to the world for free! It’s not just a browser; it’s a bold rebellion against today’s internet, which is full of purchase funnels and stifles curiosity. Perplexity believes chatbots are outdated, and with Comet Assistant, Email Assistant, and the brand-new Background Assistants platform, they’re building you a round-the-clock personal AI assistant team 🤖. Through these initiatives, and collaborations with Comet Plus content publishers, Perplexity is trying to transform the internet from a digital yellow pages back into the knowledge sanctuary that sparks human exploration 🤔.

2. Download Comet with this link to get 1 month of Pro membership : https://pplx.ai/justlikema97870 . Download Comet and log into your account, then ask at least one question with Comet to get 1 month of Perplexity Pro membership for free!

Product & Feature Updates

1. Gemini CLI now supports running interactive commands directly in the command line, making your development workflow feel like you’ve got an on-call coding wizard, boosting efficiency through the roof! This enhancement means developers can more seamlessly integrate AI capabilities into their daily terminal operations. Click to learn about this productivity-boosting CLI new feature (AI News) and let your code “run” itself 🏃‍♂️. From now on, the command line isn’t just cold characters; it’s a smart creative space ✨.

2. General Motors has officially announced a partnership with Google to bring the Gemini assistant into the cockpit. Starting next year, several of their vehicle models will welcome this chatty “co-pilot” 🚗. This AI assistant won’t just handle standard tasks like navigation and information; it can also chat with you like a knowledgeable tour guide about the history of bridges along your route, completely ditching the “command rigidity” issue of traditional voice assistants. This signals another upgrade in the automotive industry’s intelligent competition, with an arms race for “brains on wheels” officially kicked off (AI News) . Future cars won’t just be transportation; they’ll be smart companions that truly understand you! 🤖

3. The Alibaba Qwen team has rolled out an “epic” update for its Deep Research tool. Now, it can not only generate research reports with citations but also transform into a web designer and podcast host with just one click! 🤯 This feature, powered by self-developed models like Qwen3-Coder, Qwen-Image, and Qwen3-TTS, allows users to achieve a “text, visual, and audio” trinity of content output from data with just a click or two. This means AI research assistants are evolving from mere text generators, into an all-in-one multimodal content creation workshop (AI News) , making knowledge presentation much richer and more diverse 🎨.

4. Kuaishou’s StreamLake has officially made its big move, unveiling a “tools + models + platform” trinity AI programming product matrix aimed at building a complete closed-loop intelligent development ecosystem 🌐. Its self-developed flagship model, KAT-Coder-Pro V1, has surpassed GPT-5 in authoritative benchmark tests, demonstrating astonishing code understanding and generation capabilities, while the lightweight KAT-Coder-Air V1 is openly available for free, benefiting all developers 🧑‍💻. Kuaishou’s move isn’t just about flexing its muscles; it’s about building a sustainable new AI programming ecosystem to accelerate industry adoption (AI News) , making AI programming no longer exclusive to a select few 🔥.

5. The ByteDance Seed team has dropped a bombshell with the launch of its Seed3D 1.0 model! With just one ordinary image, it can end-to-end generate high-quality 3D models complete with fine geometry, realistic textures, and PBR materials ✨. This technological breakthrough is set to create a powerful “world simulator” for embodied intelligence, resolving current bottlenecks in physical interaction and content diversity, and exponentially boosting the efficiency of virtual world construction 🚀. Click to enter the project homepage and experience 3D generation magic (AI News) , and witness the instant leap from 2D to 3D!
   
   

6. MiniMax is about to drop its flagship video model, Hailuo 2.3, achieving stunning breakthroughs in realism, precision, and style diversity, positioning itself as another strong contender against Veo 🎬. The new version, relying on its exclusive NCR architecture, excels in motion capture, micro-expression animation, and physical reflection simulation, even capable of presenting perfectly synchronized mirror reflections in cinematic 8K quality ✨. With the opening of free trials and fierce competition among top models (AI News) , the democratization of AI video creation is hurtling forward at an unprecedented pace 🚀.
   
   

7. OpenAI’s video generation tool, Sora, has unveiled an exciting roadmap, soon introducing a “character cameo” feature that lets your pets or even plush toys star in AI videos! 🐾 What’s more, basic video editing, private community channels, and an upcoming Android version all indicate that Sora is evolving from a mere generation tool, into a fully-featured, socially connected creative platform (AI News) 🚀. These updates not only optimize the creative experience but also pave the way for AI video’s communal and widespread adoption 🌐.
   
   

Cutting-Edge Research

1. Google’s quantum AI team just dropped a bombshell: their Willow quantum chip successfully ran a “quantum echo” algorithm, achieving “verifiable quantum advantage” for the first time ever! 🤯 This means quantum computing isn’t just theoretically faster; for real scientific problems, its computational results can be both verified and consistently reproduced, a historical first. It calculates molecular structures 13,000 times faster than the world’s fastest supercomputers, marking quantum computing’s official transition from “lab wonder” to “real-world tool” (AI News) and paving brand new paths for drug discovery and materials science 🧪.

2. A new study put 20 mainstream large language models through an ideological bias test, and the results revealed their unique political and value orientations, like giving each AI a “personality test” 🧠. This research delves into LLMs’ inherent tendencies when handling sensitive topics, providing an important reference for us to understand and evaluate AI’s “values” (AI News) . It also reminds us to maintain critical thinking when relying on AI 🤔. After all, algorithms aren’t absolutely neutral; behind them are the shadows of data and the imprints of their designers 👣.

3. The GigaBrain-0 model has been proposed in a new paper, cleverly leveraging large-scale data generated by world models for training, effectively “learning from simulation, surpassing reality” 🤖. This tackles the challenge of expensive and time-consuming real-world robot data collection head-on. Through RGBD input and “embodied chain of thought” supervision, the model significantly enhances generalization and robustness in complex, long-duration operational tasks, drastically reducing robot learning costs 💡. This research showcases the immense potential of training general-purpose robots with high-quality simulated data (AI News) , paving a more efficient path for the development of robotics 🚀.

4. A new paper introduces a “one-shot” joint framework that integrates entity recognition and disambiguation, streamlining the traditionally two-step, complex, and inefficient entity linking task 🔗. What’s even cooler is how this method leverages large language models to enrich the contextual information of entity mentions, greatly improving the model’s performance when dealing with cross-domain data – like fitting the model with a “wide-angle lens” 🔭. This research demonstrates that enhancing contextual understanding with LLMs is an effective way to solve entity linking challenges (AI News) , making knowledge graph construction smarter and more precise 🎯.

Industry Outlook & Social Impact

1. Meta has cut 600 positions in its AI department, a move that makes one wonder if the “optimization” trend has begun sweeping through the AI industry 🤔. Despite the disheartening layoff news, reports indicate Meta is still actively recruiting for its superintelligence teams, staging a real-life “song of ice and fire” ❄️🔥. This might reflect a strategic shift by tech giants in the AI domain, namely, concentrating resources on high-stakes bets on more cutting-edge, higher-risk general artificial intelligence (AI News) , while some application-layer roles face a shake-up 🔄.

2. NetEase Media has officially launched the “2025 Next-Generation Artificial Intelligence Entrepreneurship Competition,” seeking innovative sparks in the AI field globally, with a top prize exceeding 1 million RMB 💸. The competition focuses on three cutting-edge tracks: AI Infrastructure, AI Applications & Agents, and AI Hardware, inviting over 30 leading investment institutions and industry bigwigs to sit on the judging panel—truly an “AI entrepreneur’s dream factory” ✨. This global innovation event aims to discover AI potential and build a resource matching platform (AI News) , providing excellent startup teams with “full lifecycle” growth support, from capital to technology 🚀.
   
   

3. A research paper, through interviews with Dutch media practitioners, proposes an ingenious concept: “Controlled Change” 🧐, regarding how generative AI will reshape professional authority in journalism. Journalists aren’t passively accepting technological impacts; instead, they’re actively setting guidelines, experimenting with AI tools, and evaluating their limitations, thereby firmly retaining their voice while embracing innovation 💡. This study reveals the dynamic process of active adaptation and self-regulation within the news industry amidst the AI wave (AI News) , showcasing the subtle interplay and coexistence between human professionalism and machine intelligence 🤝.

Top Open Source Projects

1. Ever wondered if you could compress an LLM’s long text context into a tiny image, then have a Vision-Language Model (VLM) “read the image” to decompress it? The mind-blowing Un-LOCC (⭐1.2k) project does exactly that! It renders text into PNG images, achieving a Token compression ratio as high as 2.8:1 🤯. This method requires no model modification, boasts a simple architecture, and provides a highly creative “dimensional reduction” approach to handling long contexts (AI News) —it’s truly the king of cost-effectiveness! 👑

2. Say goodbye to piles of paper documents! Give paperless-ngx (⭐33.1k) a try – it’s a community-driven, super-powerful document management system that helps you scan, index, and archive all your physical documents for true “paperless” office efficiency 📄✨. It’s like your personal digital archivist, making information retrieval easier and more efficient than ever before (AI News) , so you can ditch the rummaging through endless files! 👋

3. Looking for a self-hosted monitoring tool that’s both good-looking and powerful? uptime-kuma (⭐76.8k) is definitely your go-to choice! It boasts a beautiful interface and robust features, letting you easily monitor the operational status of websites, servers, and various network services 📊. This open-source tool is not only simple to configure but also supports multiple notification methods, making your operations work both intuitive and reassuring (AI News) 😊.

4. ByteDance’s open-source ByteKMP Compose ArkUI native rendering solution cleverly sidesteps the memory and package size increments caused by Skia rendering, making it a godsend for KMP developers ✨. This solution, by adapting ArkUI’s Native Drawing CAPI interface, ensures high performance while significantly reducing resource consumption and effectively avoiding OOM risks in multi-page scenarios 🚀. This isn’t just an underlying technical upgrade; it’s a profound exploration into performance optimization for cross-platform UI development (AI News) , bringing tangible performance benefits to developers! 💪
   
   

5. Still using Postman for API development and debugging? Time to try the open-source star player, hoppscotch (⭐75.2k)! It offers a lightweight, fast, and feature-rich API development ecosystem 🚀. As a completely open-source alternative to Postman/Insomnia, it has won the hearts of developers worldwide with its smooth experience and active community (AI News) , making API debugging simple and delightful! 🎉

Social Media Shares

1. AI guru Andrej Karpathy gave a revolutionary critique of an OCR paper, arguing that AI’s input shouldn’t be text at all, but rather pixels forever! 🤯 He sharply pointed out that Tokenizers are ugly “middlemen” that not only lose visual information like typography and color but also introduce various technical overheads and security risks 😡. Karpathy’s view challenges the fundamental paradigm of LLMs (AI News) , advocating for AI to “read” by “seeing pictures” and “seeing is believing.” This might herald a fundamental shift in AI’s information entry point from “language” to “vision” 💡.
   
   

2. Next.js has officially launched a set of AI model performance evaluation benchmarks, specifically testing large models and AI Agents on their code generation and migration capabilities within the Next.js framework—essentially a “grand exam” for AI coding prowess 🧑‍💻. The evaluation results show GPT-5-Codex and Claude Code performing strongest in their respective domains. Interestingly, some models behave quite differently as standalone LLMs versus as Agents, revealing a subtle relationship between the model and its execution environment 🤔. Click to view this detailed AI code capability ranking (AI News) and see who the true Next.js coding champions are! 🏆
   
   

3. OpenAI’s newly released Atlas browser has been hit with a serious “prompt injection” vulnerability! Attackers can embed invisible commands into webpages, tricking the AI into performing actions against user intentions 😱. This issue is like an “invisible trap” set for AI, once again sounding the alarm on AI security and reminding us that while we enjoy intelligent conveniences, we must also be wary of their potential vulnerabilities 🛡️. Jike community users shared an example of this security vulnerability (AI News) , and OpenAI has stated they are actively addressing it. Phew! 😮‍💨
   
   

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🎙️ Xiaoyuzhou	📹 Douyin
Laisheng Xiaojiuguan	Self-Media Account