圖像加註文字，特朗普的國情咨文演講邀請剛在冬奧打敗加拿大，首次奪金的男子冰球隊現身，他宣布將頒發「總統自由獎章」給美國隊奪金關鍵的守門員海勒拜克。如果關稅讓會場氣氛凝重，那麼當特朗普轉向移民議題時，情緒則瞬間沸騰。特朗普談到他所謂的「非法外國人」威脅，引發共和黨議員最熱烈的掌聲，以及民主黨議員的憤怒叫喊與冷眼相對。
2021—2025 年度，中国企业研发投入的区间分布保持稳定，延续了以亿元和千万元级企业为“腰部力量”、百亿元以上和千万元及以下企业作为“首”“尾”两端的基本态势。腰部区间覆盖了最大比例的企业数量，构成了研发梯队的中坚部分。
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“曾经看似不可能的事情可以变为可能”
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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.
Australia GP — Oct. 25，更多细节参见WPS官方版本下载