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.
软件是否正面临颠覆性变革像Workday希望依靠创始人回归进入全新的第二阶段——AI时代。但这一阶段又不同于云计算时代，后者在落地时是基本确定的前景，而AI虽然技术前景可观，但怎么落地，客户怎么接受，从底层基础设施到上层的应用和安全方面，仍有诸多模糊不清的探索方向。
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Movie theatre operators and others in Hollywood had feared a Netflix takeover. It could have meant one of the last major studios - behind titles last year such as Ryan Coogler's Sinners, The Minecraft Movie and One Battle After Another - deserting the cinema.
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