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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按照Authentic改造Forever 21等品牌的案例来看，GUESS的未来或许不再以全链条自营零售公司的逻辑展开，而更可能被重组为“授权+本土合作”的品牌资产。
She thinks discussion is the way forward.
全新发布 ChatBI 模块，用户可通过自然语言提问完成数据探索与分析。系统基于语义理解与 SQL 生成能力，自动调用底层引擎执行查询，并以可视化图表返回结果，实现“所问即所得”的智能分析体验，提升业务人员数据使用效率。