尤其值得注意的是，部分名校的博士招生规模，更是大幅提高，如北京大学博士招生规模超过4000人，清华大学博士招生规模超过4500人，上海交大、浙江大学博士招生规模达到5000人。这一方面会影响本校的博士招生门槛，另一方面也会影响申请其他高校的博士生源质量。可以说，有一些处在985中游的高校，来申请读博的博士生，很大一部分都是2015年时根本没有希望被录取的学生。加上我国在2010年后，硕士研究生也大幅扩招，部分高校因培养规模大，缺乏对硕士培养质量的严格把关，博士生源质量能不下降吗？
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这样的互动并不罕见。过去一年，我们见证了诸多暖心时刻。视障博主游历重庆畅通无碍；小吃店店主为求职的毕业生免去餐费以示加油鼓劲；后勤老师将散落的银杏叶精心拼成各式创意图案……不同的时间、地点和主角，演绎着一脉相承的古道热肠。这份真诚，在平时是爱岗敬业的责任心，在节日是互致问候的热乎劲；推动发展时是共建共享的积极性，日常生活中是能帮则帮的同理心。当这样的真诚同频共振，将汇聚成推动社会进步、国家发展的深厚基础与坚实力量。
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Here's a hint for today's Connections: Sports Edition categoriesWant a hint about the categories without being told the categories? Then give these a try:
It’s Not AI Psychosis If It Works#Before I wrote my blog post about how I use LLMs, I wrote a tongue-in-cheek blog post titled Can LLMs write better code if you keep asking them to “write better code”? which is exactly as the name suggests. It was an experiment to determine how LLMs interpret the ambiguous command “write better code”: in this case, it was to prioritize making the code more convoluted with more helpful features, but if instead given commands to optimize the code, it did make the code faster successfully albeit at the cost of significant readability. In software engineering, one of the greatest sins is premature optimization, where you sacrifice code readability and thus maintainability to chase performance gains that slow down development time and may not be worth it. Buuuuuuut with agentic coding, we implicitly accept that our interpretation of the code is fuzzy: could agents iteratively applying optimizations for the sole purpose of minimizing benchmark runtime — and therefore faster code in typical use cases if said benchmarks are representative — now actually be a good idea? People complain about how AI-generated code is slow, but if AI can now reliably generate fast code, that changes the debate.，推荐阅读safew官方版本下载获取更多信息