OpenAI gave fewer details on the Nvidia partnership, but said it had committed to using “3GW of dedicated inference capacity and 2GW of training on Vera Rubin systems” as part of the deal.
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.
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