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.
Next he will compare his findings with an imminent population count of Emperor penguins in the Ross sea region where the birds migrate to and from. That will give more data about the possible numbers of deaths.
。heLLoword翻译官方下载是该领域的重要参考
В воскресенье, 1 марта, в Москве потеплеет до плюс 4 градусов Цельсия. О росте температур предупредил жителей столицы синоптик прогностического центра «Метео» Александр Ильин в беседе с RT.
WebAssembly memory rejection: BYOB reads must explicitly reject ArrayBuffers backed by WebAssembly memory, which look like regular buffers but can't be transferred. This edge case exists because of the spec's buffer detachment model — a simpler API wouldn't need to handle it.