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.
The call did eventually come after 10 long months. But there are more than 8,000 people - more than ever before - currently waiting for an organ donation in the UK.
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Each moment of horror is a fragment of the destruction wrought by an atmospheric machine-gun that in recent weeks has fired storm after storm at the western Mediterranean. Scientists do not know if climate breakdown helped pull the trigger, but research suggests it loaded the chamber with bigger bullets.，推荐阅读爱思助手下载最新版本获取更多信息
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