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HuggingFace launched the open-source desktop robot Reachy Mini, triggering a rush to buy. This 28-centimeter-tall robot, starting at 299 dollars, achieved sales of over 130,000 euros in five hours. It features a six-degree-of-freedom head, wide-angle camera, and modular design, supporting 15 preset actions and community behavior sharing. It is both a toy and an AI learning platform. As an AI platform valued at 4.5 billion dollars, HuggingFace has acquired the robotics company PollenRobotics and launched the LeRobot project.

At one of the leading conferences in the computer vision field, CVPR2025, Tencent announced the open source release of the Hunyuan 3D 2.1 model. This is the first fully open source industrial-grade 3D generation model, leading in the industry. The downloads of the Hunyuan 3D model on the well-known open-source community and technology platform Hugging Face have exceeded 1.8 million, recognized by developers worldwide. This upgraded Hunyuan 3D 2.1 model shows significant improvements in effect; after uploading a jewelry box image, the generated 3D jewelry box has clear texture, delicate quality, and lifelike lighting effects.

Global renowned open-source AI platform Hugging Face recently released the open-weight model contributor ranking. Chinese teams Qwen and DeepSeek successfully ranked in the top 15, showcasing China's technical strength and influence in the global open-source AI field. This ranking honors the teams that provide high-quality model weights to the open-source community, with their models widely applied in academic and industrial innovation. The Qwen team supported by Alibaba Cloud Intelligence Group has gained favor from the community due to the excellent performance of its Qwen3 series models in tasks such as instruction following and code generation.

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.

According to official data, Alibaba's Qwen3 large model has exceeded 12.5 million downloads globally within just one month since its open-source launch. It has drawn significant attention on major AI open-source platforms such as Hugging Face, ModelScope Community, and Ollama. Currently, Qwen3 offers four model versions with sizes of 0.6B, 8B, 30B, and 32B respectively, each exceeding one million downloads on the above-mentioned platforms, demonstrating strong global developer appeal. Particularly on Hugging Face platform, millions of users

Recently, Hugging Face's open-source project LeRobot has drawn significant attention from the industry. This project provides developers with an efficient and easy-to-use AI development platform for robotics by integrating the most advanced machine learning algorithms and convenient toolchains, marking what could be considered a 'Transformer Moment' in the field of robotics. A unified interface that adapts to various hardware: One of the major highlights of the LeRobot project is its unified hardware interface design, which can seamlessly adapt to multiple types of robot hardware, including robotic arms, cameras, motors, and more.

A groundbreaking new AI technology allows language models to search the internet for information! Not only has this resulted in a 41% increase in exam scores, but it also unlocks a new level of reasoning and search capabilities. Learn about this academic 'cheat code' evolution and why you might want to get your AI a library card! Paper: https://arxiv.org/abs/2503.09516 Code: https://github.com/PeterGriffinJin/Search-R

Hugging Face recently released its top model leaderboard for the second week of April 2025, encompassing various modalities such as text generation, image generation, and video generation. This highlights the rapid iteration and diverse applications of AI technology. According to AIbase, the models featured in this week's leaderboard not only showcase the innovative vitality of the open-source community but also reflect technical trends such as low-precision training and multi-modal generation. Below is an analysis of the leaderboard highlights, with professional insights provided by the AIbase editorial team. Text Generation Models: Balancing Efficiency and Specialization

Hugging Face announced the launch of the open-source humanoid robot, Reachy2, through the acquisition of French startup Pollen Robotics. This news sparked significant discussion on social media and within the AI community, considered a major milestone in the convergence of humanoid robotics and generative AI. Designed as a lab partner for AI research and education, Reachy2's open-source nature, advanced capabilities, and human-centric design have quickly made it a focus for top labs globally.

On April 15th, Hugging Face, the renowned open-source large language model platform, announced its acquisition of Pollen Robotics, marking its official entry into the physical robotics field. While specific transaction terms remain undisclosed, the acquisition will bring approximately 20 Pollen Robotics employees to Hugging Face. This represents the company's largest personnel acquisition to date, signifying its ambition in expanding its business areas. Hugging Face's co-founder...

Hugging Face, a leading AI development platform, recently announced the acquisition of Pollen Robotics, a French humanoid robotics startup, marking its strategic foray into the robotics sector. While the financial details of the deal remain undisclosed, the acquisition has generated significant attention. Founded in 2016 by engineers Matthieu Lapeyre and Pierre Rouanet, Pollen Robotics' flagship product, Reachy2, is an advanced humanoid robot already utilized at Cornell...

Hugging Face, the AI development platform, has announced the acquisition of French robotics startup Pollen Robotics for an undisclosed sum. This marks Hugging Face's first foray into hardware and aims to promote the global adoption and development of open-source robotics. Pollen Robotics, founded in 2016 and based in Bordeaux, France, is known for its open-source humanoid robot, Reachy2. Priced at approximately $70,000, Reachy2 has been adopted by institutions such as Cornell University.

Innovation in AI-powered image generation continues at a rapid pace. Hugging Face recently launched VisualCloze, a new tool utilizing Visual In-Context Learning, marking a significant advancement in general image generation frameworks. AIbase, through analysis of recent social media activity, provides an in-depth look at this tool's highlights and potential, offering readers a firsthand report.

Hugging Face, a leading open-source AI community platform, has launched a highly anticipated new feature: users can quickly see which machine learning models their computer hardware can run via platform settings. Users simply add their hardware information, such as GPU model, to their Hugging Face profile settings (located at the top right corner: Profile Icon > Settings > Local Apps and Hardware).