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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.

As competition in the AI field intensifies, Meta announced early today that it has successfully poached Trapit Bansal, a top researcher from OpenAI, joining its newly established AI Superintelligence department. According to Techcrunch, an OpenAI spokesperson, Kayla Wood, confirmed Bansal's departure, and Bansal's LinkedIn page also shows he is no longer an employee of OpenAI. Image

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

Recently, a move by Meta founder Mark Zuckerberg has drawn significant attention. Disappointed with the performance of the company's latest open-source large model, Llama4, Zuckerberg has decided to personally form a brand-new 'Superintelligence Team' in an effort to regain competitive advantage in the field of artificial intelligence. The goal of this new team is to achieve general artificial intelligence (AGI), making machines reach human-level performance across multiple tasks. According to insider sources, Zuckerberg has prioritized the formation of the new team and has already established a group called

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.

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.

With the rapid advancement of AI technology, predictions about the future are increasingly captivating. The newly released AI2027 scenario report, compiled by a team of researchers and forecasting experts from OpenAI, the Center for AI Safety, and other institutions, provides detailed predictions for the next 2-3 years, outlining upcoming technological milestones in the field of artificial intelligence. Image note: Image generated by AI, image licensing provider Midjourney. The report makes a striking prediction: the achievement of Artificial General Intelligence by 2027.

According to AI Technology Review, ByteDance's AI Lab is reportedly merging into its Seed team. This significant restructuring marks a major shift in ByteDance's internal AI R&D structure. Established in 2016, the AI Lab, previously a core part of ByteDance's AI research under Ma Weiying and reporting directly to Zhang Yiming, boasted a team of 150 researchers. Their work encompassed cutting-edge AI technologies, contributing significantly to the success of products like Douyin (TikTok) through advancements in recommendation algorithms and video effects. The AI Lab played a crucial role in ByteDance's growth.

Alibaba's Tongyi Lab recently released a new digital human video generation model called "OmniTalker." This innovative model allows for precise imitation of a person's expressions, voice, and speaking style by simply uploading a reference video. Compared to traditional digital human production workflows, OmniTalker significantly reduces production costs while enhancing the realism and interactive experience of the generated content, meeting a wide range of application needs. OmniTalker is easy to use; users only need to...

A new star shines brightly in the field of artificial intelligence! Recently, Huawei Noah's Ark Lab and the Hong Kong University Natural Language Processing Group (HKU NLP Group) jointly released a new language model called Dream7B. This model is hailed as the most powerful open-source diffusion large language model to date. Dream7B not only surpasses existing diffusion language models in performance, but also rivals or even surpasses top autoregressive (AR) language models of similar scale in general capabilities, mathematics, code, and planning abilities.