We’ll build that in the next post. First, we need to learn about CRDTs!
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.
，更多细节参见币安_币安注册_币安下载
And you can see it working:
售价方面，2026 款小鹏 X9 纯电版共推出 5 款车型，官方指导价 30.98 万元至 36.98 万元：
（一）使用虚假身份信息、营业执照，冒用他人身份信息、营业执照、电话号码、邮箱，或者使用物联网卡等办理互联网服务的；