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While OpenAI has yet to announce changes to its rules, Ann O’Leary, its vice president of global policy, reportedly wrote in the letter that the company will tweak its detection systems so that they can better prevent banned users from coming back to the platform. Apparently, after OpenAI banned the shooter’s original account due to “potential warnings of committing real-world violence,” the perpetrator was able to create another account. The company only discovered the second account after the shooter’s name was released, and it has since notified authorities.
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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.