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.
With just your naked eye, tonight you'll be able to see the Mares Tranquillitatis and Crisium. With binoculars you'll be able to see the Mare Nectaris, the Alphonsus Crater, and the Alps Mountains. If you love your moon-gazing gear, get out the telescope to catch a glimpse of and with a telescope you'll see also see the Apollo 15 and 11 landing spots, and the Fra Mauro Highlands.。业内人士推荐一键获取谷歌浏览器下载作为进阶阅读
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