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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.
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在互联网时代，这是搜索引擎与应用商店的世界，但在AI时代，它可能属于那个24小时贴身的AI硬件。
time I found myself in central banking, the use of "high-speed" machinery for
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就在这种情绪高点中，主打机器人租赁的平台开始密集宣传，先是元旦期间的1元闪租十城联动、融资消息发布，再到春节的城市合伙人战略发布会，再叠加“背靠智元机器人”“互联网高管团队”的背景标签，一套完整的创业故事迅速搭建完成。
In a blog post published late on Friday, Anthropic vowed to “challenge any supply chain risk designation in court,” and assured its customers that only work related to the Defense Department would be affected. The company's full statement is available here, an excerpt is below:。业内人士推荐搜狗输入法2026作为进阶阅读