Trump orders federal agencies to drop Anthropic’s AI

· · 来源:global资讯

Израиль нанес удар по Ирану09:28

西方国家用了数百年时间建立这套制度——土地登记、公司注册、破产法、抵押制度等看似枯燥的法律基础设施,正是资本主义运行的前提。没有它们,再多资产也只是“沉睡资产”。

Одна стран,详情可参考safew官方版本下载

"We monitor the size, shape and growth of the [fire]," he adds, explaining that this helps to avoid false alarms triggered by pictures of fires, or fires on a TV screen, that happen to be in shot.

Цены на нефть взлетели до максимума за полгода17:55

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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.