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.
据美国消费者新闻与商业频道(CNBC)报道，OpenAI周五宣布了一轮1100亿美元的融资，这一融资规模是其一年前上一轮融资的两倍多，创下私营科技公司的纪录。
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Both page table entries and segment descriptors have an Accessed bit that the hardware must set on use -- but the mechanisms are quite different.
This suggests prioritizing genuine partnerships, guest posting on respected sites in your industry, and earning mentions from authoritative sources through excellent work rather than pursuing link-building tactics focused purely on volume. The relationship-based approach to link acquisition aligns well with AIO because it creates the kind of genuine authority signals that AI models recognize and value.