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.
近日，贵州黎平一名孕妇在前往县城进行产检途中，突然出现羊水破裂情况。收费站执勤点交警接到求助后，迅速拦下一辆过路的从江县中医院救护车，并利用围挡快速搭建起简易接生场所。在医护人员帮助下，孕妇顺利产下婴儿。随后，产妇和婴儿被送往黎平县保健院进行专业医疗护理。SourcePh" style="display:none"
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