with: [ any. any2 ] -> [ :pattern | pattern beLiteral ];
for var in "${!SECRETS[@]}"; do
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简单讲，AI硬件不能只是AI+硬件的营销概念，而是要让AI真正服务于硬件，让硬件变得更好用。用车圈举例，隐藏式门把手确实很酷，但有安全隐患，今年已被中国市场禁用。
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.