CoPaw原生支持钉钉、飞书、QQ、Discord、iMessage等聊天软件和平台，内置了多种Skills，用户可一键本地部署也可通过阿里云计算巢和魔搭社区创空间实现一键云端部署，并调用千问系列等主流模型。
Ранее был объявлен соперник сборной России по ближайшему товарищескому матчу. 27 марта россияне в Краснодаре встретятся с Никарагуа.
。搜狗输入法2026是该领域的重要参考
Updates to the leaderboard are welcome via pull request.
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.