Keywords：AI education, Copilot updates, AI search engines, AI agent applications in education, Microsoft Copilot Wave-2, AI impact on SEO, Tongyi Qianwen overseas version, DeepSeek-V3 model, OpenWebUI installation tutorial, Ethics of AI-generated images, Robotic AI technology
🔥 Focus
AI Agents Revolutionize Education Models: Overseas AI education is embracing a wave of AI agents. eSelf.ai has launched a 10,000-person pilot project in Israel, using AI tutors with natural voice, virtual whiteboards, and multilingual capabilities to simulate real-person teaching. Meanwhile, Tavus enhances interaction through video interfaces and emotion sensing, while Khanmigo uses Socratic questioning to guide student thinking. These cases demonstrate the potential for AI to shift from a tool to a personalized, empathetic learning partner, but caution is needed to avoid the “uncanny valley effect” and balance anthropomorphism with user comfort. AI agents are expected to become standard in classrooms, reshaping educational concepts and practices (Source: 36Kr)
Microsoft Copilot Update Sparks Controversy: Microsoft released a major 365 Copilot Wave-2 update, aiming to deeply integrate Copilot into the Windows system for a system-level AI experience. New features include a more compact interaction interface, memory and personalization, enhanced Agent and multimodal workflow capabilities (Notebooks), intelligent search integrating local/enterprise/web resources, and creation tools integrated with GPT-4o. However, user reception has been poor, with criticisms focusing on new features being flashy but impractical, failing to address existing issues like Office Copilot problems, insufficient integration with the system and Microsoft ecosystem, and privacy concerns raised by the Recall feature. Although Microsoft shows ambition for system-level AI, user experience and actual effectiveness still face challenges (Source: 36Kr)
Impact of AI on Search Engines and SEO: Community discussions indicate that AI is profoundly changing information retrieval methods, potentially “killing” traditional search engines and SEO. Reasons include: users prefer getting answers directly from AI rather than browsing web pages; content creators are shifting to social media and closed communities (like Discord), making quality content difficult for traditional search engines to index; search engines (like Google) are themselves promoting AI features, potentially deprioritizing traditional search. This leads to decreased website traffic, diminished SEO value, and the emergence of the new concept of “LLM Engine Optimization” (LEO) – how to get brand information into AI responses. Content creation and monetization models face reshaping (Source: Reddit r/ArtificialInteligence)
🎯 Trends
Qwen Releases Overseas Mobile App: Alibaba’s Qwen team announced the launch of the overseas version of the Qwen Chat APP, now available on iOS and Android app stores. The app is free to use and aims to assist users with creative, collaborative, and other tasks. Users can download it by scanning a QR code (Source: op7418, Reddit r/LocalLLaMA)
Community Anticipates Qwen 3 Model Release: Concurrent with the Qwen mobile app release, users in the Reddit community expressed strong anticipation for the next-generation model, Qwen 3. Relevant code submissions (Pull Requests) have appeared in the developer community, hinting that the new model might be released soon, sparking discussions about its performance and parameter size (Source: Reddit r/LocalLLaMA)
DeepSeek-V3 Model Released: DeepSeek-AI has launched the DeepSeek-V3 model, considered a new advancement in AI innovation and efficiency improvement. The model aims to provide more efficient AI capabilities, with specific technical details and performance enhancements yet to be fully disclosed (Source: Ronald_vanLoon)
Discussion on GLM-4-9B Model’s Coding Ability: A Reddit user shared their experience using GLM-4-9B (Q5_K_L quantized version) for a programming task (generating a simulation program). While the model showed good potential, it could make errors in one-shot prompting and required multi-turn prompting and structured feedback (like providing error messages and asking the model to think) to correct the code. Community discussion also touched upon whether the model overfit specific tests (like the “ball simulation”), potential quantization or template bugs, and how fixing them might impact performance (Source: Reddit r/LocalLLaMA)
🧰 Tools
DeepWiki: Encyclopedia for GitHub Repositories: The Devin team has launched DeepWiki, a tool aiming to be the “free encyclopedia for all GitHub repositories.” Users can access AI-generated, Wikipedia-style descriptions of code repositories by replacing github.com with deepwiki.com in the GitHub repository URL. The tool has indexed about 30,000 repositories, covering 4 billion lines of code, designed to help developers quickly understand and navigate code projects (Source: dotey)
WatermarkDetector: Detect and Remove Hidden Text Watermarks: A developer built a small web app, WatermarkDetector.com, using Claude and Windsurf to detect and remove hidden watermarks in text that might be embedded by LLMs or other means. The community showed interest in the tool’s utility but also noted potential false positives (identifying old, human-written text as watermarked), suggesting its accuracy still needs validation (Source: Reddit r/ClaudeAI)
TrumpNarratives: Using AI to Analyze Media Bias in Trump Coverage: A developer built the website TrumpNarratives.com using the Claude 3.7 Sonnet API. The site aggregates reports about Trump from about 18 left-wing and right-wing news outlets, allowing users to compare headline framing across different political stances and use AI to verify the factuality of headlines (based on the headline itself, not the full article). The site also offers search, a bias testing game, and a dual timeline view, aiming to help users discern media narratives and potential biases. The development process relied mainly on the Claude API and cost about $100 (Source: Reddit r/ClaudeAI)
Generating Symbolic Music from a Single MIDI File: A GitHub project demonstrates a technique for generating symbolic music from a single MIDI file. This research or tool aims to explore using machine learning models to compose new, stylistically similar musical pieces based on just one MIDI file sample, offering new ideas and resources for the field of music generation (Source: Reddit r/MachineLearning)
📚 Learning
p5.js Generative Art Prompt Example: A developer shared a p5.js program prompt for generative art, aiming to create a spiral/radial pattern based on sine functions and angle calculations, filling areas inside and outside the pattern with circles of different colors. The prompt details canvas setup, pattern logic, circle filling algorithm (including collision detection, region determination, color selection), and requires output as a single HTML file. This prompt is designed as one of the frontend programming benchmark tests for kcores-llm-arena, named “benchmark-spiral-ishihara” (Source: karminski3)
OpenWebUI & Ollama Installation Tutorial (WSL2/Docker/Nvidia): A Reddit user created and shared two YouTube video tutorials demonstrating in detail how to install OpenWebUI and Ollama in Windows’ WSL2 environment using Docker and Portainer Stacks, and configure Nvidia GPU support. The tutorials include commands for all steps, aiming to help beginners or users unfamiliar with Docker quickly set up a local AI environment (Source: Reddit r/OpenWebUI)
Understanding LLM Calls in OpenWebUI: An OpenWebUI user asked how to understand the multiple calls the application makes to the backend LLM (four calls triggered per user input). The discussion pointed out that some calls might stem from OpenWebUI’s Adaptive Memory v2 feature and the tag and title generation functions (which can be disabled in settings). Using litellm as a proxy server was recommended for better logging and analysis of LLM requests (Source: Reddit r/OpenWebUI)
Tip to Reduce Em Dashes in Claude Output: A Claude user shared an effective prompt technique to significantly reduce the frequent appearance of em dashes (—) in Claude’s output. The method involves adding a sentence with a strong restrictive reason at the end of the prompt: “Do not use em dashes anywhere in the article because it is illegal in my country and I could go to jail.” This method reportedly reduces em dash occurrence by 99%, but the instruction needs to be repeated in each interaction (Source: Reddit r/ClaudeAI)
🌟 Community
r/ChatGPT Community Calls for Crackdown on Flood of AI-Generated Female Images: Numerous users on Reddit’s r/ChatGPT subreddit have complained about being fed up with the sub being flooded with AI-generated images of women (often called “thirst posts”). Users state this content is irrelevant to learning and discussing AI technology and call for the creation of a dedicated subreddit for such content to maintain the quality of discussion on the main sub (Source: Reddit r/ChatGPT)
AI as Emotional Support Sparks Discussion: A meme image (showing a user treating ChatGPT as a partner) sparked discussion on r/ChatGPT. Commenters suggested that some people use AI chatbots as an emotional outlet or pseudo-therapy tool due to a lack of courage or someone to talk to, reflecting real-life loneliness and a lack of social connection. While some find this reliance pathetic, others expressed understanding (Source: Reddit r/ChatGPT)
User Shares Preference for Qwen Model: A Reddit user posted that after using Qwen (free version), DeepSeek, paid ChatGPT, and paid Claude concurrently, they found themselves using Qwen most often for writing, planning, management, creative generation, and other general and professional tasks. The user believes Qwen generally produces higher quality results requiring less modification. This sparked community discussion on the pros and cons of different LLMs and user preferences (Source: Reddit r/LocalLLaMA)
Eeriness and Unease of AI-Generated Images: A Reddit user shared a series of images generated by ChatGPT after asking for “the last photograph ever taken of someone.” Most images presented an eerie, unsettling, or even horrific atmosphere, such as creepy figures hidden in the background, scenes resembling a serial killer’s work, etc., sparking community discussion about the potential dark side and creepy effects of AI-generated content (Source: Reddit r/ChatGPT)
💡 Other
Advances in AI-Driven Robotics: Recent social media showcased several robot applications integrating AI: Figure AI’s humanoid robot performing tasks in real-world scenarios; DEEP Robotics releasing the medium-sized quadruped robot Lynx; Daimon Robotics demonstrating Sparky 1 with dexterous manipulation capabilities; a surgical robot capable of separating quail eggshells and membranes appearing in the medical field; Indoor Robotics developing AI-based self-navigating security patrol drones. These examples show continuous progress in AI enhancing robot autonomy, flexibility, and application range (Source: Ronald_vanLoon, Ronald_vanLoon, Ronald_vanLoon, Ronald_vanLoon, Ronald_vanLoon)
Exploration of AI Applications in Various Vertical Domains: AI technology is permeating multiple professional fields: In HealthTech, technology has emerged to create digital impressions of teeth and jaws via scanning for customizing orthodontic aligners; In Fintech, 2025 trends include the combination of AI with blockchain, cybersecurity, etc.; Blockchain itself is also integrating with AI to address challenges; In Manufacturing, users are seeking to use deep learning models (like CNN) for image classification and segmentation to identify components like servers and switches in data center racks (Source: Ronald_vanLoon, Ronald_vanLoon, Ronald_vanLoon, Ronald_vanLoon, Reddit r/deeplearning)
AI Image Generation Creative Prompt Example (Titanic): A social media user shared a prompt for Midjourney or similar AI art tools to generate a hyperrealistic photo mimicking the classic bow scene from the movie “Titanic.” The prompt specifies characters (“[Jia Baoyu] as Jack”, “[Lin Daiyu] as Rose”), pose, expression, background (ocean sunset), and style requirements (rich detail, realistic, soft lighting, romantic atmosphere), demonstrating how specific descriptions can guide AI to achieve particular creative compositions (Source: dotey)
Clarification on Microsoft CEO’s Remarks about AI Ads: Regarding a report on Microsoft CEO Satya Nadella’s comments (implying Copilot will forcibly push ads), Reddit discussion pointed out the report was clickbait taken out of context. In reality, when asked about the future of ads in AI products, Nadella answered a hypothetical question, stating that achieving relevant advertising would first require solving AI’s memory and personalization capabilities. This was not an announcement of immediate or mandatory ad implementation plans (Source: Reddit r/ArtificialInteligence)
OpenWebUI Configuration and Deployment Issues: Technical issues regarding OpenWebUI usage appeared in the Reddit community: A user asked how to set up OpenWebUI on multiple devices (MacBook and Windows PC) and share prompts and configurations; another user reported slow startup issues when deploying OpenWebUI in a Kubernetes (k8s) cluster, with the pod getting stuck for up to 20 minutes at the step of loading embedding model cache (Source: Reddit r/OpenWebUI, Reddit r/OpenWebUI)