Korean Generative AI Service Liner Ranks Fourth Globally


According to data from the National Data Administration, by 2025, the total volume of AI training and inference data in China is expected to reach 199.48 EB, representing a year-on-year growth of 42.86%. Among this, inference data has exceeded training data for the first time, reaching 101.34 EB, indicating the wide application of AI across industries. At the same time, the data volume generated by system software and AI is expected to reach 26.92 ZB.
Google is testing a 'Ask YouTube' generative AI search feature on YouTube, upgrading keyword retrieval to a conversational mode. This experiment targets U.S. users aged 18 and above with YouTube Premium, aiming to transform video search from content matching to deep information understanding and aggregation.
ComfyUI, an AI startup that originated from an open-source project, announced on April 24 that it has completed a $30 million financing round, with a valuation of $500 million. The round was led by Craft Ventures, with participation from Pace Capital and others. Its core product is a node-based workflow platform that addresses the lack of precise control in mainstream diffusion models when generating images, videos, and audio through a modular framework, allowing users to finely adjust every step of the generation process, unlike prompt-driven platforms such as Midjourney.
Meituan has recently launched a trillion-parameter AI large model test. The model is trained entirely on domestic computing power clusters, marking a significant breakthrough in the application of domestic technology. It is currently only available to invited users and has not been widely released, demonstrating Meituan's leading position in the AI field.
Meta announced the layoff of about 8,000 employees (10% of its workforce) to cope with the high infrastructure and talent costs brought by the transition to artificial intelligence. The move reflects a widespread anxiety in the technology industry: while AI improves efficiency, the expenditure on hardware and top talent is significant, forcing companies to streamline their organizations to maintain profitability. The CEO of Meta had previously warned investors about the pain of the transition.