But before we jump into those challenges, lemme give you a quick tour of how the game works and how it’s architected.
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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.。同城约会是该领域的重要参考
但這位總統面臨的挑戰在於，他的公眾支持率徘徊在40%左右，而美國民眾希望他採取更多行動來解決他們的擔憂。上個月，他在白宮發表全國演說時，也使用了類似主題與統計數據——但未能說服公眾。總統與他的幕僚似乎寄望於國情咨文更大的觀眾群（預計數千萬人）能帶來不同結果。