Core Insights - The integration of AI in the steel industry is seen as a crucial step towards achieving high-end, intelligent, and green development, as emphasized by industry leaders [1][2]. Group 1: Digital Transformation Initiatives - The China Iron and Steel Association has prioritized digital transformation as one of the three major projects in the industry, launching a three-year action plan for digital transformation [1]. - The association has released guidelines for the construction of intelligent manufacturing standards and digital transformation projects in the steel industry [1]. Group 2: AI Applications and Innovations - AI applications in the steel industry have shown promising results in optimizing production processes, quality control, and supply chain management [1]. - The "human-machine hybrid intelligence" model proposed by Northeast University aims to address the "black box" nature of steel production, enabling high-fidelity online predictions throughout the entire process [2]. Group 3: Environmental Sustainability - The development of AI in the steel sector is expected to promote green and sustainable practices, contributing to energy conservation and environmental protection [1]. - The establishment of a cross-enterprise and cross-industry AI ecosystem is anticipated to enhance collaboration among steel companies, upstream and downstream enterprises, research institutions, and technology service providers [1]. Group 4: Technical Advancements - The shift from experience-driven to intelligent decision-making in ironmaking is highlighted as a key trend, with mixed intelligence empowering the process [3]. - A new intelligent steelmaking system has been developed that combines knowledge-driven and data-driven approaches to address traditional challenges in steel production [3].

Core Viewpoint - The article discusses the rise of "AI prediction" products marketed to students and parents during exam preparation, questioning their reliability and effectiveness in improving exam performance [1][6]. Group 1: Market Dynamics - Various businesses are promoting "AI prediction" and "AI score improvement" products, claiming accuracy rates exceeding 80% for exam predictions, with prices often around hundreds of yuan for study materials [1][2]. - The products are primarily targeted at anxious students and parents, with many customers purchasing these materials in hopes of better exam performance [1][2]. Group 2: Product Claims and Limitations - One seller claims their AI model predicts exam content with over 75 points coverage based on historical exam data, but the actual content is often broad and aligns with standard curriculum topics [2][3]. - Experts argue that AI-generated predictions fail to grasp the complexities of exam questions, which require higher-order thinking and contextual understanding that AI cannot replicate [3][4]. Group 3: Regulatory and Ethical Concerns - The marketing strategies employed by these businesses are criticized as misleading, with claims of high accuracy rates being deemed as false advertising under relevant laws [6][7]. - There are calls for regulatory bodies to address exaggerated claims and fraudulent practices in the "AI prediction" market, emphasizing the need for transparency and accountability in AI educational products [7].