OpenAI周五发布的声明称，亚马逊、英伟达和软银在该轮融资中分别投资了500亿美元、300亿美元和300亿美元。这笔投资使OpenAI的估值达到7300亿美元(未计入投资前)，相较于其10月份在二级融资中的5000亿美元估值，实现了大幅增长。OpenAI表示，随着本轮融资的推进，预计其他投资者也将加入。（证券时报）
FT Edit: Access on iOS and web
。safew官方版本下载对此有专业解读
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.
system may not be able to handle complex tasks