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Recently, the social media platform X (formerly Twitter) announced a pilot feature that allows artificial intelligence (AI) chatbots to generate "Community Notes." This feature originated from the Community Notes system during the Twitter era and has been expanded and optimized by Elon Musk, aiming to improve the accuracy and transparency of information on the platform. What are Community Notes? Simply put, Community Notes is a user-driven fact-checking project. Users participating in this project can add comments to specific posts to help provide more detailed background information.

Meta is undergoing a major internal restructuring, deciding to consolidate all artificial intelligence-related teams into a new unit called "Meta Superintelligence Labs." This information was disclosed by Bloomberg, according to an internal memo from Meta, which shows that CEO Mark Zuckerberg hopes to focus the company's efforts on developing "superintelligence" artificial intelligence.

This article provides a detailed review of the AI-driven social media management tool SchedPilot, analyzing its core functions such as cross-platform publishing and AI comment assistant, helping creators and marketing teams determine whether this tool is worth using. Understand the differentiated advantages and applicable scenarios of SchedPilot compared to other social media management tools.

Google's DeepMind announced a major breakthrough in hurricane forecasting on Thursday, launching an innovative artificial intelligence system capable of unprecedented precision in predicting the path and intensity of tropical cyclones. This achievement solves long-standing challenges faced by traditional meteorological models for decades. At the same time, DeepMind also launched "Weather Lab", an interactive platform to showcase its experimental cyclone prediction model. The model can generate up to 50 possible storm scenarios 15 days in advance. More notably, De

The French AI lab Mistral has officially launched its first series of reasoning models - Magistral, marking another significant progress in the AI field. This series includes two versions: Magistral Small and Magistral Medium, aiming to enhance logical reasoning capabilities in fields such as mathematics and physics. These models solve problems step-by-step, comparable to models like OpenAI's o3 and Google's Gemini2.5Pro.

The French AI lab Mistral recently announced the official release of its first inference model series -- Magistral. The series includes two versions: Magistral Small and Magistral Medium, aimed at enhancing logical reasoning capabilities in disciplines such as mathematics and physics. Mistral stated that the Magistral series models solve problems step by step to improve the consistency and reliability of results.

In recent years, the field of artificial intelligence has undergone tremendous changes, especially with large language models (LLMs) making remarkable progress in multi-modal tasks. These models have demonstrated strong potential in their ability to understand and generate language, but most current multi-modal models still adopt auto-regressive (AR) architectures, which limit inference processes to be rather monotonous and lacking flexibility. To address this limitation, a research team from The University of Hong Kong and Huawei Noah's Ark Lab has proposed a brand new model – FUDOKI, aiming to break these constraints. The core innovation of FUDOKI is

On June 10th, at the 9th Digital Finance and Financial Security Conference of 2025, Ant Technology Group announced that Tianji Lab has been fully upgraded from the original Digital Identity Security Lab to an AI+ Industry Innovation Lab. The lab will focus on key technological breakthroughs in the application of large AI models in industries, promoting deep integration of AI technology innovation with industry through building a collaborative eco-system of industry-academia-research-application. Zhou Yanli, member of the 13th National Committee of the Chinese People's Political Consultative Conference, former deputy secretary and vice president of the China Insurance Regulatory Commission, Shen Changkang, professor at Beijing University of Technology and expert in information system engineering, et al.

Recently, tech giant NVIDIA, in collaboration with the Massachusetts Institute of Technology (MIT) and the University of Hong Kong, released a new framework called Fast-dLLM. This innovative framework aims to significantly increase the inference speed of diffusion models (Diffusion-based LLMs), up to 27.6 times, providing stronger technical support for AI applications. The challenges and opportunities of diffusion models make them strong competitors to traditional autoregressive models.

The model and API independent analysis company, Artificial Analysis, released its latest evaluation report on DeepSeek R1-0528. The results show that DeepSeek R1 has made significant breakthroughs in technical performance, surpassing xAI, Meta, and Anthropic, and is now on par with Google, becoming the world's second largest artificial intelligence lab. At the same time, DeepSeek has also established its undisputed leadership position in the field of open-source weights.