近期关于靠大四作业当上CEO的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点，供您参考。
首先，近日，多位消费者收到短信称，GUESS因经营模式调整，全国所有线上线下店铺将在3月底前关闭，GUESS未来将以全新模式深耕中国市场。
。新收录的资料对此有专业解读
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最新发布的行业白皮书指出，政策利好与市场需求的双重驱动，正推动该领域进入新一轮发展周期。。新收录的资料对此有专业解读
第三，新版本上线时，Sora App首日即突破 10 万次下载，并在邀请制状态下快速实现百万下载量，增长速度超越 ChatGPT。 但12 月，其下载量环比下降 32%，今年 1 月，下滑趋势未改，下载量环比大幅下降 45%，降至约 120 万次，用户的应用内消费总额同期环比下降 32%，为 36.7 万美元。，这一点在新收录的资料中也有详细论述
此外，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.
最后，“这些业务没成的一大原因，就是老板的意志太强了，下面的老大们执行力也很强，加上西贝已经是一家‘大公司’，花钱时手松，实际的销售又带不动后端。”周洛对36氪总结。
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展望未来，靠大四作业当上CEO的发展趋势值得持续关注。专家建议，各方应加强协作创新，共同推动行业向更加健康、可持续的方向发展。