If you’ve been thinking about investing in a serious portable power station, there couldn't be a better time to do it. As of Feb. 26, the Jackery Explorer 2000 v2 is on sale at Amazon and it's discounted by more than $400. This deal takes the price down from $1,199 to $779.
Share this on Hacker News.。safew官方版本下载对此有专业解读
Want more of the best of late night? Sign up for Mashable's Top Stories newsletters.。关于这个话题，雷电模拟器官方版本下载提供了深入分析
故见富豪家不伦不类之春联，叹云：诚当世之哀也。富贵者必骄，诚难怪也。有势拥财而不妄逞者，自古恒少，犹如身怀利刃，杀心自起。好比人拿个弹弓，总想射树上的鸟或树枝。记得袁随园有云，写诗有典而不用者，犹如有权势而不逞云。至于负天职知天而付诸践履者，自来罕见，至今尤绝迹矣！
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.