Meta for example is spending a lot of effort and money into creating new curated programming training sets.

That means at least from their POV what's already available is not enough or not good enough, and if they're correct then the companies making the models can "artificially" inflate a language's representation.

I never said it did.

My comment shouldn't be read as an explanation for why Anthropic chose Rust in this case.

I was simply disputing the claim that LLMs are good at all languages, and that their biases--both intentional and otherwise--will swing the entire industry.