Vectorized instructive signals in cortical dendrites

· · 来源:tutorial资讯

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Eschewing同城约会对此有专业解读

在印度 Express Adda 的论坛上,Sam Altman 聊了很多 AI 话题,从 AGI 到中美 AI 竞争,再到数据中心用水问题。但最火的那段,是他回应 AI 能耗批评时说的:「人们总谈训练 AI 模型需要多少能源……但训练人类也需要大量能源,得花 20 年时间,消耗那么多食物,才能变聪明。」

(四)一年以内曾受过治安管理处罚的。

2025

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.