（八）建设完善科普专业与课程体系。有条件的高校应设置和完善科普相关学科和专业，培养科普专业人才。设置科普双学位、科普辅修课程，培养复合型科普人才。在专业课程中有机融入科普创作与传播内容，提高理工农医类专业学生的科普表达能力。
2024年12月25日 星期三 新京报
。搜狗输入法2026对此有专业解读
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
Mass domestic surveillance. We support the use of AI for lawful foreign intelligence and counterintelligence missions. But using these systems for mass domestic surveillance is incompatible with democratic values. AI-driven mass surveillance presents serious, novel risks to our fundamental liberties. To the extent that such surveillance is currently legal, this is only because the law has not yet caught up with the rapidly growing capabilities of AI. For example, under current law, the government can purchase detailed records of Americans’ movements, web browsing, and associations from public sources without obtaining a warrant, a practice the Intelligence Community has acknowledged raises privacy concerns and that has generated bipartisan opposition in Congress. Powerful AI makes it possible to assemble this scattered, individually innocuous data into a comprehensive picture of any person’s life—automatically and at massive scale.
The instruction from Peter 1 is recorded in the police log: "Curfew already in place. No further need to obtain permission. Deploy necessary force."