The simultaneous constraints of code quality requirements via AGENTS.md, speed requirements with a quantifiable target objective, and an output accuracy/quality requirement, all do succeed at finding meaningful speedups consistently (atleast 2x-3x)
О пропаже девятилетней девочки из Смоленска стало известно 24 февраля. Утром она вышла погулять с собакой, а домой уже не вернулась. К поискам школьницы были привлечены волонтеры и полиция. Ее нашли спустя два дня в квартире вместе с мужчиной-похитителем.
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牛刀小结曾经的 “东北药茅”，用十年时间缔造神话，却用四年时间把一手好牌打得稀烂。
icon-to-image#As someone who primarily works in Python, what first caught my attention about Rust is the PyO3 crate: a crate that allows accessing Rust code through Python with all the speed and memory benefits that entails while the Python end-user is none-the-wiser. My first exposure to pyo3 was the fast tokenizers in Hugging Face tokenizers, but many popular Python libraries now also use this pattern for speed, including orjson, pydantic, and my favorite polars. If agentic LLMs could now write both performant Rust code and leverage the pyo3 bridge, that would be extremely useful for myself.
中國防疫人員入民宅「無害化處置」寵物狗，引發眾怒2021年11月16日