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Google's NotebookLM introduces video summaries, converting complex info into narrated slides. It auto-generates videos from user-uploaded images/charts. Demoed at I/O 2025, the feature will roll out gradually. Currently English-only, multilingual support planned.....

OpenAI launches ChatGPT Study with interactive prompts and scaffolding responses for systematic learning across subjects. Available to all users, with an Edu version coming soon. Educators see potential to transform teaching methods.....

Perplexity company launches an AI browser called Comet, which transforms YouTube videos into interactive learning tools. Users can pause videos at any time to ask questions, and the AI assistant provides instant answers and supplements related knowledge, enabling a shift from passive watching to active learning. This tool is especially suitable for complex subjects, as it optimizes answers based on user habits and offers personalized learning paths. Its deep integration with the browser environment makes responses more contextually relevant. Although still in the testing phase, it has already shown the potential to revolutionize the way education is delivered.

VLM2Vec-V2, a multimodal embedding framework developed by Salesforce Research and other institutions, breaks through the limitations of traditional models. Based on the Qwen2-VL architecture, this framework innovatively unifies image, video, and visual document retrieval tasks. It adds five new evaluation tasks to expand the MMEB dataset. With key technologies such as dynamic resolution and M-RoPE, it achieved an average score of 58.0 across 78 datasets, leading in performance, especially in video tasks. Although its document retrieval is slightly behind ColPali, it

Microsoft CEO Nadella unveils a new strategy to transform the company into an 'AI engine' for 8 billion people, shifting from software to AI-powered platforms. He emphasizes democratizing digital tool creation in the AI era. Despite strong performance, Microsoft cut 15,000 jobs (4% of workforce) as necessary adaptation to tech shifts, likening it to 1990s PC transition.....

The U.S. DOGE department is using the AI tool Doge AI to review federal regulations on a large scale, planning to delete 50% of them before the start of Trump's term. The tool has reviewed 200,000 regulations and is expected to delete 100,000, but there are issues with legal understanding. This move is expected to save $1.5 trillion annually and release $600 billion in investments, but it has sparked controversy. The White House stated that the plan is still in its early stages. DOGE previously implemented an AI-first strategy, but the young team and AI application methods have been questioned.

A survey shows 1/3 of Americans use AI tools like ChatGPT for career transitions. Over half consider switching jobs, especially Gen Z (57%). AI aids resume writing (43%) and job research (47%), with 18% finding new careers via AI. 60% prefer human advisors, only 7% fully trust AI. Experts predict AI will replace half of white-collar jobs in 5 years, with tech firms cutting grad hires while competing for AI talent.....

WordPecker is an open-source AI language learning tool featuring personalized vocab extraction, 100+ languages, voice chat with OpenAI Agent, and interactive exercises. It represents the future of smart language learning.....

AI tools shift from editors to terminal interaction. Claude Code and others highlight terminals as the new AI interface. Research shows terminals like Warp outperform editors in coding and DevOps tasks, signaling a future where 95% of LLM interactions occur via terminal-like interfaces.....

Recently, the ByteDance Seed team collaborated with the University of Hong Kong and Fudan University to introduce an innovative reinforcement learning training method called POLARIS. This method successfully enhances the mathematical reasoning capabilities of small models to levels comparable to those of large models through a carefully designed Scaling RL strategy, offering a new approach for optimizing small models in the field of artificial intelligence. Experimental results show that the 4 billion parameter open-source model Qwen3-4B trained using POLARIS achieved remarkable performance on AIME25 and AIME24 mathematical tests.

Global developers have introduced a universal tool calling protocol (UTCP), allowing AI agents to directly call various tools without relying on proxy servers. Compared to traditional MCP protocols, UTCP supports native interfaces such as HTTP and gRPC, significantly reducing calling latency and complexity. The protocol retains existing enterprise security measures while providing SDKs in TypeScript and Python. Developers can participate in improving the protocol through open-source projects. UTCP has the potential to open up new pathways for AI tool integration.

Large Language Models (LLMs) have achieved significant progress in complex reasoning tasks by combining task prompts with large-scale reinforcement learning (RL), as demonstrated by models like Deepseek-R1-Zero, which directly apply reinforcement learning to base models, showcasing strong reasoning capabilities. However, this success is difficult to replicate across different base model families, especially within the Llama series. This raises a core question: what factors lead to inconsistent performance of different base models during reinforcement learning? How does reinforcement learning perform in

Google recently announced the launch of a new AI tool suite called Gemini for Education, based on its latest generation Gemini 2.5 Pro model and the LearnLM learning large model specifically optimized for education, providing free, powerful, and efficient learning and teaching support for teachers and students around the world. This move marks another major breakthrough for Google in the field of educational technology, aiming to empower educators and students through AI technology, creating a more personalized and efficient learning experience. Gemini for Educa

New Oriental officially launched its first consumer-facing original AI education product - New Oriental AI 1-on-1 today. This is not only a major breakthrough in teaching methods, but also marks a critical step in New Oriental's strategic layout of "Education + AI." The core competitiveness of New Oriental AI 1-on-1 lies in providing learners with a high-frequency interactive 1-on-1 learning experience. The AI teacher can realistically reproduce the learning environment, achieving real interaction and real Q&A. At the same time, the AI teacher is patient, responsible, proficient in teaching, and can provide timely feedback, as well as praise and encourage students.

Recently, a research team from the University of Hong Kong, The Chinese University of Hong Kong, and SenseTime has released a groundbreaking framework - GoT-R1. This new multimodal large model significantly enhances the semantic and spatial reasoning capabilities of AI in visual generation tasks by introducing reinforcement learning (RL), successfully generating high-fidelity and semantically consistent images from complex text prompts. This advancement marks another leap in image generation technology. Currently, although existing multimodal large models have made significant progress in generating images based on text prompts

Kuaishou Technology's Kling AI and Xingmang Short Series have jointly launched the world's first AIGC (Artificial Intelligence Generated Content) unit drama series, "New World is Loading," which has attracted widespread attention in the industry. The series features a diverse range of genres, including science fiction, history, fantasy, and absurd comedy, showcasing the potential and challenges of AI creation. At the premiere, reporters observed that the plot of "New World is Loading" was full of innovation, especially with its rich science fiction elements and smooth action scenes, thanks to detailed action scripts and start-end frame technology. However, the series also exposed...