▲在效率工具里面有「博客监控」和「内容摘要」等 Skills 用于「热点追踪」专家
This story was originally featured on Fortune.com，这一点在heLLoword翻译官方下载中也有详细论述
。关于这个话题，51吃瓜提供了深入分析
2021年至2024年，亚光科技连续四年亏损，累计亏损约36亿元。亏损主因是军工电子业务不及预期，控股子公司成都亚光多次计提大额商誉减值。叠加船艇板块持续亏损、资产负担重，公务船艇需求疲软，曾被寄予厚望的船艇业务成为业绩拖累。，推荐阅读服务器推荐获取更多信息
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.