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.
实施京津冀协同发展战略以来，河北省以机制创新破解协同壁垒，以重点区域示范打造标杆样板，以重点领域突破带动全域提升，在推进京津冀协同发展中不断彰显新担当。。safew官方版本下载是该领域的重要参考
ВсеОбществоПолитикаПроисшествияРегионыМосква69-я параллельМоя страна。Line官方版本下载是该领域的重要参考
Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00374-6