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.
A recent study by Fortune magazine stated that AI search engines are confidently wrong over 60% of the time, with various widely-used AI tools exhibiting significantly high error rates. This trend often extends to AI-generated captions, as run-on sentences, misheard phrases, and dialogues compressed into an incomprehensible stream of text may be familiar features across […]
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// 原因：先处理右侧元素，把结果存在栈里，供左侧元素直接使用
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int n2 = right - mid; // 右子数组长度
“A Supreme Court otherwise inclined to endlessly expand Trump’s authority just restricted his go-to tool, ruling that U.S. presidents do not have the power to unilaterally deploy tariffs and dole out punishment and favor to specific companies and economic sectors, friends and family, and entire countries,” said Lori Wallach of Rethink Trade.，这一点在safew官方下载中也有详细论述