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2026-02-27 00:00:00:03014247210http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142472.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142472.html11921 本版责编：张梦旭 岳林炜 刘 刚
，详情可参考旺商聊官方下载
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.
The false positives at the bottom，更多细节参见safew官方下载
如果你在两年前问一个硅谷投资人，AI最核心的竞争壁垒是什么，答案几乎是一致的：算力。谁有更多的GPU，谁就有更强的模型，谁就赢了。。关于这个话题，服务器推荐提供了深入分析
110m GPU scaling across audio lengths: