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.
讯飞会议耳机累计出货超80万台，商业内核同样在此，硬件是钩子，软件服务才是持续滚动的飞轮。
。同城约会对此有专业解读
'The finest in the world': Why the US is buying icebreakers from Finland
芯片、算法、数据之外，“每一分算力背后的电力成本与碳排放”，才是真正的决胜点。
В зоне СВО ликвидировали медийную снайпершу ВСУВ зоне СВО ликвидировали медийную снайпершу ВСУ Васильченко