Израиль нанес удар по Ирану09:28
Why do I, my mother-in-law, and Nava all knock on wood? None of us really know. Perhaps it’s a legacy of the Bronze Age; perhaps it’s a meme from Victorian Britain. What is certain is that it’s not something a robot with an LLM-based brain is going to do habitually, just as robots will never share in mental frameworks deriving from quirks of our physical architecture, like handedness.
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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.
以往手机厂商应对成本上涨的惯用手法是“减配降价”或“加量不加价”——通过在其他器件上缩减成本来平衡整体BOM。但内存是所有机型都绕不开的刚需，且短期内没有替代品。
为什么这些处于技术前沿的科技巨头，会用如此原始甚至粗暴的方式对待纸质书？答案其实藏在 AI 对高质量数据的极度渴求里。