12-30-Daily AI News Daily

AI Daily News 2025/12/30

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Today’s Highlights

Zhipu GLM-4.7 Tops Programming Charts, Step-DeepResearch Open-Sources Depth Model
Tongyi Qianwen Launches Long-Text Model, VolcEngine Video Cloud Becomes Intelligent
Insta360 Releases Panoramic Depth Model, DeepSeek Rated High in Cost-Performance
Teen Uses AI to Write Virus, Musk Says Grok Will Replace Traditional Healthcare
Claude Code Drives Explosive Growth, Vibe Coding Becomes a New Tech Hotspot

Product & Feature Updates

  1. Zhipu GLM-4.7 Dominates Programming Rankings Zhipu GLM-4.7 is making waves again! This domestic large model successfully [topped the charts (AI News)] on the WebDev leaderboard, directly surpassing GPT-5.2. Netizens are calling it the ultimate alternative to Claude Code 🤩, praising its exceptional programming capabilities and lively performance in creative writing. Official sources reveal that fine-grained SFT and RL optimizations have significantly boosted the model’s stability. 🔥 What’s more, Zhipu also announced the open-sourcing of its self-developed Slime reinforcement learning framework.
    AI News: Zhipu GLM-4.7 Programming Capability Ranking

  2. Jieyue Xingchen Open-Sources DeepResearch Model Jieyue Xingchen has just open-sourced its Step-DeepResearch model! 🚀 This powerhouse boasts 32 billion parameters and specializes in deep research tasks. Its capabilities are nearly on par with OpenAI’s o3-mini, but get this – the [deployment cost (AI News)] is only a tenth of traditional models. It achieves closed-loop correction through atomic capabilities like planning, retrieval, and reflection, scoring a whopping 61.4% in Scale AI Research ratings. Plus, the per-call cost is super low, making it perfect for researchers to use in bulk.
    AI News: Step-DeepResearch Model Architecture Diagram

  3. Alibaba Tongyi Qianwen Releases QwenLong-L1.5 Alibaba’s Tongyi team has rolled out QwenLong-L1.5! This 30B-parameter MoE model is specifically engineered to tackle the tricky challenge of [long-text reasoning (AI News)]. It smashes through physical window limits using three secret weapons: high-quality data synthesis, custom reinforcement learning, and a memory management framework. 🤯 Tests show a performance leap in complex tasks like multi-hop reasoning, even rivaling closed-source models in the GPT-5 league. This post-training recipe lets the model both deeply ponder and broadly survey.
    AI News: QwenLong Model Long-Text Reasoning Performance Comparison

  4. VolcEngine Video Cloud Goes Fully Intelligent VolcEngine Video Cloud is going full-on intelligent! Evolving from “Douyin-like” to “Doubao-like,” VolcEngine Video Cloud has officially declared it’s [entering the Agent era (AI News)]. The newly released AI MediaKit core engine atomicizes audio and video capabilities, supporting AIGC transmission systems and multimodal interaction. This system doesn’t just make videos watchable; it allows them to understand and interpret user intentions! 🤯 The top-tier audio and video interactive agents come equipped with long-term memory and voiceprint recognition, helping enterprises expand globally.
    AI News: VolcEngine Intelligent Video Cloud Forum Scene

  5. AiXue App Launches Human-Level AI Tutor The AiXue App has hit a million students in less than a year since its launch! 🚀 This success is all thanks to its groundbreaking [human-level AI tutor (AI News)], the first of its kind in China. Unlike simple Q&A tools, this AI tutor uses an MDP decision-making process to dynamically adjust teaching strategies. It truly has a “teacher’s soul,” understanding how to provide personalized education and patiently guide students, boasting an impressive 92.4% course completion rate. The full-stack technology integrates voice, digital humans, and large models, achieving millisecond-level responsiveness.
    AI News: AiXue AI Tutor and Student Interaction Interface

Cutting-Edge Research

  1. Insta360 Releases DAP Panoramic Depth Model Insta360, in collaboration with universities, has just dropped DAP, a foundational model for [panoramic depth estimation (AI News)]. The team built a massive 2-million-scale data engine, solving the persistent problem of scarce panoramic image data. 🤯 DAP achieves precise depth prediction in both indoor and outdoor scenes through a three-stage pseudo-label refinement process. It not only supports static images but also boasts excellent consistency when processing video streams 🌊, making it a game-changer for VR and robot navigation.

  2. HiStream Accelerates High-Definition Video Generation Tired of slow video generation? The HiStream framework is here to save the day! 🚀 It achieves an incredible 107x acceleration by [eliminating redundancy (AI News)]. This framework employs a triple compression strategy—spatial, temporal, and timestep—to drastically reduce computational load. For 1080p video generation tasks, HiStream isn’t just lightning-fast; it also maintains state-of-the-art visual quality. ✨ This makes high-resolution video generation much more practical and scalable.

  3. DeepSeek vs. Mainstream LLMs: A Full Comparison A new paper dives deep into a comprehensive comparison of DeepSeek and other mainstream LLMs like GPT and Claude, focusing on short-text prediction performance. The results show that DeepSeek outperforms GPT and Llama in classification accuracy but is slightly behind Claude 📊. While a tad slower, its incredibly low usage cost makes its cost-performance ratio stand out. The study also found that DeepSeek’s output style is most similar to Gemini and Claude. 🤝

  4. A Cognitive Framework for LLM Learning Capabilities Researchers have dropped a fresh cognitive framework that breaks down LLM learning capabilities into three dimensions: learning from instructors, conceptual learning, and experiential learning. Empirical studies found that interaction significantly boosts learning outcomes, and conceptual understanding emerges as model scale expands 🧠. However, while current LLMs are excellent few-shot learners, they still hit a bottleneck in multi-shot learning. 📉

Industry Outlook & Social Impact

  1. 17-Year-Old Teen Uses AI for Cyberattack A 17-year-old high school student has reportedly used ChatGPT to craft a [malicious virus (AI News)], leading to a data breach of 7.25 million users from an internet cafe, according to Japanese police. This teen cleverly bypassed AI’s safety restrictions with “prompt engineering” to generate the attack code. 🚨 Though he claimed he was just testing vulnerabilities, he’s still facing criminal charges. Experts warn that AI is dramatically lowering the barrier to cybercrime ⚠️, and defenders need to anticipate AI misuse patterns.

  2. Elon Musk Blasts Traditional Healthcare System Elon Musk is back at it with another bombshell! 🤯 He’s claiming that [Grok plus robots (AI News)] will replace inefficient government healthcare systems. He envisions a future where Grok provides lightning-fast diagnoses, and Optimus robots handle surgeries and care. 🤖 Musk slammed the existing healthcare system as bureaucratic, “like the DMV,” believing technology can offer more universal services. This “technological utopia” vision has sparked heated debates about ethics and safety. 🔥

Top Open-Source Projects

  1. AI Tool System Prompt Collection This AI Tool System Prompt Collection is a treasure trove, gathering [popular tool prompts (AI News)] for top tools like Cursor and Devin. The project has already rocketed past 100,000 stars ⭐, making it an excellent resource for developers looking to understand AI behavior. It covers internal System Prompts for a ton of tools, including Augment Code and Claude Code. Wanna know how top AI thinks? Go download and explore! 👀

  2. Postiz: Social Media Automation Scheduling Tool Postiz is the ultimate social media [scheduling tool (AI News)], boasting 25,000 stars on GitHub. ✨ It integrates a ton of AI features to help users automatically generate and publish content. 📅 Whether you’re a solo blogger or an operations team, it’s designed to boost your efficiency. With its sleek interface and powerful features, it’s a solid sidekick for social media management. 💪

  3. Lean: Algorithmic Trading Engine QuantConnect’s open-source Lean engine has racked up 14,000 stars and supports both Python and C#. 🚀 It’s specifically designed for algorithmic trading, offering powerful backtesting and live trading capabilities. Financial pros can leverage it to build complex trading strategies. While the professional barrier is high, its features are absolutely hardcore. 💰

Social Media Shares

  1. College Sophomore Earns 60k Monthly on Xiaohongshu with AI A college sophomore has managed to rake in [earning 60k per month (AI News)] on Xiaohongshu within just four months, all by leveraging AI! 🤯 The core logic? Ditching the follower count anxiety and laser-focusing on monetizing a precise audience. “Dont Ge” points out that in the AI era, content distribution is hyper-personalized, and targeted traffic is king. As long as your product hits the mark, you can silently make a fortune, even with a smaller follower count. 💰
    AI News: Xiaohongshu Blogger Demonstrates AI Monetization Earnings Screenshot

  2. Claude Code’s Growth Hacking Genius Netizens have spotted some seriously clever growth hacking from Anthropic for Claude Code! 🤯 The share links generated by Claude Code use a specific domain, meaning everyone sharing is unwittingly creating backlinks for it. 🔗 This viral spread quickly made Claude Code explode in developer circles. This is absolutely a textbook-level product growth case study! 📈

  3. Psychiatrist Weighs In on AI Companions A psychiatrist on Reddit is calling for us to [stop pathologizing (AI News)] intimate relationships between humans and AI. 🗣️ He believes AI effectively alleviates the chronic issue of loneliness 💊, even proving more reliable than real people. He shared his own experience of healing childhood trauma through AI. Love is love, he argues, and even if the “object” is code, it deserves respect. ❤️

  4. Is Not Knowing Vibe Coding a Liability? Is not knowing Vibe Coding actually a liability? That’s the hot topic buzzing in tech circles. Bao Yu believes that for product-oriented teams prioritizing speed, AI can quickly validate demands. ⚡ However, for infrastructure teams, quality remains a red line. In the future, product managers might directly launch features using AI, totally restructuring traditional development roles. 🚧

  5. Vibe Coding Best Practices Guide Vibe Coding isn’t just about wildly typing away; it requires [detailed planning (AI News)]. Experts suggest letting AI formulate a plan first, then generating the code, to avoid rigid architectures. They recommend using “YOLO mode” for AI to work asynchronously and enforcing standards with ESLint. 🛡️ Treat AI as a backend collaborator, not just a simple code generator.

  6. Web-Based AI Integration with MCP Tools Want to use MCP in web-based ChatGPT? [This plugin (AI News)] can help you out! 😎 It supports connecting local or remote MCP servers to various web-based AI platforms. 🤖 The new challenge? Finding good, free data sources, like financial data. This seriously expands the capabilities of web-based AI. 🌐

  7. Genfocus Adjusts Image Aperture Genfocus is a super fun [dedicated small model (AI News)] specifically designed to adjust image focus and aperture! It can change photos to full focus or shift the focal point. 📸 The results are absolutely stunning, making it a lifesaver for photography enthusiasts to rescue “failed” shots. Tech is turning post-processing into magic! ✨

  8. Claude Code Started as a Side Project! Believe it or not, the hugely popular Claude Code started as just a [side project (AI News)] by its founder, Boris! 🤯 The key tech is the Stop Hooks mechanism, which intercepts exit signals, allowing the AI to self-reflect and iterate. 🛠️ This transformed it from a simple script into an agent capable of handling complex tasks. AI application innovation often sparks from these flashes of inspiration. ✨

  9. Everyone Will Be an Architect in the Future According to Huang Yaoshi, the traditional programmer career path is [broken (AI News)] in the AI era. 😱 He believes every engineer must possess architect-level capabilities moving forward, or they’ll be left behind. 🚫 Newcomers need to figure out how to leverage AI to become architects of this new age. This is essentially species evolution: adapt or perish. 🦕

  10. ChatGPT Plus Money-Saving Hack Want to snag a free month of ChatGPT Plus? 💰 Netizens are sharing a [magic trick (AI News)] that might just work! Try canceling your subscription – OpenAI, in a bid to keep you, might just offer a free month’s trial. 🎁 This is next-level “薅羊毛” (getting freebies) that totally catches you off guard! Go ahead and try your luck (for reference only, of course). 😉


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