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In a recent major announcement, the global e-commerce and cloud computing giant Amazon revealed two important milestones in its robotics and artificial intelligence (AI) fields: the launch of a new AI foundation large model called Deep Fleet, and the successful deployment of more than one million robots. The launch of the Deep Fleet model aims to enhance the intelligence and efficiency of Amazon's largest industrial mobile robot fleet. The application of this model is expected to improve the operational efficiency of the robot fleet by 10%, thereby accelerating...

According to NetEase Technology, JD.com's layout in the field of embodied intelligence is accelerating rapidly. The embodied intelligence brand JoyInside under JD.com has reached cooperation with more than ten leading robot companies, becoming the core engine for JD.com to seize the smart robot market. According to insiders, JoyInside is supported by JD's large model technology, focusing on providing smart interaction capabilities between robots and consumers. Its product strategy focuses on scenario-based applications such as one person, one dog, and one toy. Since its launch, the brand has successfully attracted leading enterprises from multiple niche fields to join.

Zhipu AI officially open-sources its latest general vision model, GLM-4.1V-Thinking, based on the GLM-4V architecture, which introduces a chain-of-thought reasoning mechanism, significantly enhancing its capabilities for complex cognitive tasks. The model supports multimodal inputs such as images, videos, and documents, and excels in diverse scenarios including long video understanding, image question answering, subject problem-solving, text recognition, document interpretation, grounding, GUI Agent, and code generation, covering a wide range of industry application needs. GLM-4.1V-9B-Thinking

Recently, the social media platform X announced a new feature that allows developers to create AI robots capable of writing community notes. These AI robots will be able to submit community notes on users' posts, but these notes will only be displayed if they are deemed helpful by users with different perspectives. X Platform stated in its community notes account that AI-written notes will be clearly marked, and in the initial phase, AI will only be able to write notes on posts where users request them. According to X Platform's support page, AI note writers

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.

Recently, news about OpenAI's upcoming release of GPT-5 has attracted widespread attention in the technology industry. According to insiders, GPT-5 has already started a gradual test and is expected to be officially launched in July this year. This new model will adopt a multimodal design, meaning it can not only process text input but also understand speech, images, code, and even videos, completely changing the way we interact with AI. Sam Altman, CEO of OpenAI, stated that the launch of GPT-5 will mark a new era in AI.

Recently, the Qwen VLo multimodal large model was officially released, achieving significant advancements in image content understanding and generation, offering users a brand-new visual creation experience. According to the introduction, Qwen VLo has been comprehensively upgraded based on the advantages of the original Qwen-VL series models. The model not only can accurately understand the "world", but also can perform high-quality re-creation based on understanding, truly achieving the transition from perception to generation. Users can now access Qwen Chat (chat.qwen.ai)

Hengbot officially launched its latest Sirius robot dog. This robot dog not only excels in agile movement but also integrates OpenAI's large language model, enabling voice conversations, even dancing and kicking football. It is truly a multi-talented 'pet'! According to Hengbot's introduction, the Sirius robot dog has the ability to 'move quickly'. It can dance to the rhythm of music and even shake hands with its owner. Its legs and head are equipped with 14 motion axes, as well as

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

On June 26th, during the Tianjin Summer Davos Forum today, Wang Xingxing, CEO of Unitree Robotics, shared the company's impressive growth journey with attendees. According to AIbase, Wang revealed that Unitree Robotics, which started as a one-person company since its establishment in 2016, has now grown into an industry giant with nearly a thousand employees and annual revenue exceeding 1 billion yuan. Wang's speech highlighted the remarkable progress made by Unitree Robotics in just nine years, showcasing its strong capabilities and market influence in the robotics field.

Google DeepMind recently published a blog post, officially introducing the new Gemini Robotics On-Device localized robot AI model. The model uses a vision-language-action (VLA) architecture, enabling precise control of physical robots without cloud support. The biggest highlight of the new model is that it runs entirely locally on the robot device, achieving low-latency response capabilities. This feature makes it particularly suitable for environments with unstable network connections, such as critical application scenarios like medical facilities.