Employees Worry That Using AI Tools Will Be Seen as 'Slacking Off'


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.
Xiaohongshu first publicizes its AI governance principles, emphasizing that AI as a creative amplifier can enhance creative efficiency and break through bottlenecks, while clearly opposing improper AI behaviors. It calls on creators to actively use tools to inspire creativity and address the community challenges brought by the popularization of technology.
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.
OpenAI introduced a free version of ChatGPT for clinicians in the United States, designed to assist with medical documentation, research, and clinical tasks, reducing doctors' administrative burden and allowing them to focus more on patient care.