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Netflix used generative AI in 'El Eternauta' to speed up building collapse effects by 10x, cutting costs and time. The show, with 2000 VFX shots, was well-received. While AI enables advanced effects for creators, it sparks debate over job losses and artistic quality. Netflix previously faced criticism for AI voice cloning, as rivals like Amazon explore AI in filmmaking. AI reshapes production but balancing efficiency and artistry remains a challe....

China's Generative AI Experiences Explosive Growth: By the first half of 2025, 346 AI services completed registration. The domestic large model DeepSeek achieved 30 million daily active users within 20 days of its launch. 80.9% of users use AI Q&A. The AI industry scale in China exceeded 700 billion yuan in 2024, with an annual growth rate exceeding 20%. Domestic AI has made breakthroughs in trillion-parameter models and multimodal technologies, deeply applied in fields such as office, education, and industry, driving China from technological leadership to application deepening, reshaping the global AI industry landscape.

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.....

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

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, 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, Ryan Roslansky, CEO of LinkedIn, stated that the number of job postings mentioning AI on the platform has increased sixfold over the past year. At the same time, the number of users adding AI skills to their profiles has shown even more significant growth, increasing by a full twentyfold. This change indicates that an increasing number of professionals are reshaping their career identities by incorporating AI-related skills, even if their actual experience may not be extensive. Roslansky

Artificial intelligence research company Anthropic recently announced its latest progress in explainable AI (Interpretable AI) technology, which aims to make the decision-making process of large language models more transparent. This breakthrough may have a profound impact on how enterprises formulate strategies for applying large language models. The core technology breakthrough developed by Anthropic allows researchers to understand the model's thinking process and trace the underlying logic leading to specific conclusions.

An artificial intelligence research company, Anthropic, is developing AI systems with 'explainability' that enables users to understand the decision-making processes of large language models (LLMs). This breakthrough research may have a profound impact on enterprises' strategies for applying large language models. Breakthrough Technology: Peering into the AI 'Black Box' Anthropic's research focuses on solving the 'black box' problem of current generative AI systems.

{ title: Anthropic Develops Explanable AI Technology Or Will Reshape Enterprise Large Language Model Strategy, content: Artificial intelligence research company Anthropic recently announced that it is developing an 'explainable' AI system. This technology is expected to allow enterprises to better understand the decision-making process of large language models (LLMs). This breakthrough study may have a profound impact on companies' strategies for applying LLMs.}

According to the latest prediction from Gartner, by 2028, 80% of generative AI business applications will be developed on existing data management platforms. This shift is expected to reduce development complexity and cut delivery time in half. Currently, the development of generative AI business applications mainly relies on combining large language models (LLMs) with corporate internal data, as well as evolving technologies such as vector search, metadata management, prompt design, and embedding techniques. However, without a unified management approach, companies may...