黎智英欺詐案上訴得直：定罪及刑罰被撤銷，出獄時間提前
Why Standard Solutions Failed
我家孩子，在2岁左右时身高、体重发育逐步跟不上平均水平，看了一遍能看的大夫，最后发现过敏会导致吸收不好影响生长发育，所以测了一下过敏源，发现麸质、鸡蛋有较为严重的过敏。用了大概1年时间调整，可能是孩子大了，免疫力提高了，麸质类食物重新吃了起来，也不会有过敏问题，但鸡蛋12月底刚加回餐食中，算是完成了重要的调理过程。。搜狗输入法2026对此有专业解读
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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.