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黄仁勋 将AI生态比作一个“五层蛋糕”，而OpenClaw所在的应用程序层正是目前产出最高、最具回报的领域。他认为，OpenClaw之所以能在短时间内风靡全球，是因为它向 世界证明了AI可以深入高度个性化的环境，直接解决普通用户和企业的冗余任务。（ 快科技）
得益于大升级的屏幕面板，Studio Display XDR 的显示效果除了以往的精细、耀眼之外，终于加上了那个等待多年的「丝滑」。，更多细节参见新收录的资料
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从全面小康路上“一个都不能少”到共同富裕路上“一个也不能掉队”，始终坚持以人民为中心的发展思想，以“钉”准不放的作风，一件事情接着一件事情办，一年接着一年干，朝着推动全体人民共同富裕不断奋斗。
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.，更多细节参见新收录的资料