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Li Auto received the first domestic batch of dual safety certifications for automotive generative AI at the 2025 China Automotive Forum, becoming the first automaker to pass the national standards GB/T 45654 and GB 45438-2025. The certification was jointly issued by the CCIA Automotive Cybersecurity Working Committee and the AI-Generated Content Identification Service Platform, covering the fields of content security and identification. This achievement marks Li Auto's leading position in the industry regarding the safety of in-vehicle AIGC technology, setting a benchmark for the safe development of intelligent vehicles, while enhancing consumer confidence.

AI-powered games on Steam surged 800% to nearly 8,000 titles, accounting for 7% of the total library. Growth accelerated from under 1,000 a year ago, with AI expected in 20% of 2025 releases. Actual usage may exceed disclosures, signaling rapid AI adoption in game development for content and design.....

ByteDance's visual AI head Yang Jianchao steps down due to workload and family reasons, succeeded by ex-Alibaba M6 lead Zhou Chang. ByteDance reassures stability in Seed visual model team's global R&D.....

OpenAI ex-CTO's AI firm Thinking Machines Lab raises $2B seed at $12B valuation, focusing on multimodal AI for public benefit, with plans for open-source components and human-aligned AGI.....

vivo launches BlueLM-2.5-3B, a 2.9B parameter multimodal model excelling in GUI understanding, text processing, and logical reasoning. It features dual thinking modes and efficient training for cost-effective deployment.....

Open-source multimodal model EarthMind, designed for Earth observation data, uses spatial attention for precise localization and cross-modal fusion to integrate optical and radar data, supporting multi-granular analysis for disaster monitoring and urban planning.....

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

At today's Baidu AI DAY technology open day, Baidu's commercial R&D team officially launched its self-developed video generation model MuseSteamer and the accompanying video product platform **HuiXiang**. This innovation aims to create a comprehensive video generation solution by combining generative AI and multimodal technology, to meet the strong demand for native content production in scenarios such as search, advertising, and recommendations. The MuseSteamer video generation model series is rich, currently including Turbo, Lite, Pro, and

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, AI technology leader Runway announced the upcoming launch of its new generative AI platform, "Game Worlds." This innovative product marks Runway's successful expansion from the film industry into the gaming sector, offering creators and players a brand-new interactive experience. "Game Worlds": An AI-Driven Interactive Text Adventure. The Runway Game Worlds platform is built on generative AI, allowing users to create and experience text-based adventure games with simple text input. Compared to traditional...

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)

Recently, Google officially launched its latest text-to-image model **Imagen4** through the Gemini API, marking an important milestone in the field of generative AI (AIGC). According to Google's official blog and community feedback, Imagen4 has achieved breakthroughs in generating text within images, solving a long-standing technical bottleneck in AIGC, and providing developers with a tool for creating high-quality visual content. It is reported that the model comes in two versions: **Imagen4** and **Imagen4Ultra**, with respective pricing details yet to be fully disclosed.

Anthropic, an American startup focused on generative artificial intelligence, recently announced the launch of a new feature called "Artifacts," which allows users to create personalized applications. Users can create by means of simple conversations without any programming knowledge. This feature's release marks an important step for Anthropic in the field of artificial intelligence application development. The Artifacts feature was initially launched last June and became available to all users in August. Users can access it next to the conversation window.

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