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.
This sounds reasonable until you see how easily it goes wrong:
。91视频是该领域的重要参考
7月1日，甘肃天水麦积区褐石培心幼儿园因违规使用添加剂，导致上百名幼儿血铅异常甚至中毒的事件引发全国关注。官方通报称，事件原因是幼儿园提供的三色枣发糕、玉米肠卷等食品中的添加剂超标。期间，因天水当地检测结果与幼儿在西安、上海等地异地就医检测结果差异悬殊、天水过往曾发生同类铅中毒事件等因素，引发争议与疑虑。
但血缘本身，就能自动生成爱与亲情吗？