致力非凡之事业，必有非凡之精神。
宽容从来不是单向的索取，而是双向的修行。一次两次，人家付之一笑，三次四次，是可忍孰不可忍？宽容是有限度的，忍耐是有底线的，再宽厚的胸怀，也经不起反复消耗；终有一天，这份宽容会消失殆尽，留下的只有疏远与冷漠，更可能是人家的反戈一击。
，这一点在同城约会中也有详细论述
:first-child]:h-full [&:first-child]:w-full [&:first-child]:mb-0 [&:first-child]:rounded-[inherit] h-full w-full
To be sure, AI adoption could come with some serious fiscal benefits for governments, including higher growth, stronger corporate and wealth tax receipts, and sharper tax administration. AI-powered digitalization could also plug compliance gaps, potentially adding up to 1.3% of GDP in revenue for countries with weak enforcement, according to Moody’s, citing IMF data.
But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.