Proactively plan for a pause in scaling. We will manage our plans and finances to support a pause in model training if one proves necessary, or an extended delay between training and deployment of more advanced models if that proves necessary. During such a pause, we would work to implement security or other measures required to support safe training and deployment, while also ensuring our partners have continued access to their present tier of models (which will have previously passed safety evaluations).
В России высказались о создании комиссии по ИИ при президентеДепутат Кравченко: Комиссия по ИИ при президенте поможет создать новые вакансии
，这一点在快连官网中也有详细论述
（五）除船舶所有人外，采取预防措施的任何人；
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.