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.
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这种“重资产”的服务投入，看似是成本支出，实际也为平台赋能产业提供了信用背书：因为背后有了平台兜底，中小商户才敢于接待复杂的国际订单；因为知道遇到困难能获得有效救援，游客也才敢于探索非标的小众目的地。
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“昨天的要坚持下去，今天的要有所深化，明天的要取得更大成效”。不做寅吃卯粮、击鼓传花的虚浮之举，而是“甘于做铺垫性的工作，甘于抓未成之事”。。业内人士推荐Line官方版本下载作为进阶阅读
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