Many here propose replacing Python with more performant, but less familiar languages - mostly Rust, Go. But I find the argument that the AI - HUMAN interface is the most important. A simple version of this is “no, stick with Python if that’s what you know”. A more interesting version is “use this new found AI leeway to move up the abstraction level”, “try something more expressive and human oriented”, “make a DSL and parser that suits the domain (and focuses the AI)”. Despite being a minority language, Raku is ideal for these aspects (esp with built in Grammars and general kitchen sink repartee) and works surprisingly well with most popular LLMs.

I honestly think Mojo is the dark horse in this race. That is assuming all the roadmap goals are fulfilled. We're talking about C++-like performance, Python syntax, complete compatibility with Python, designed from the start to interface with AI, compile-time metaprogramming like Zig, and all kinds of other goodies.

So yes, people can bless Go and Rust all they want. Nothing is wrong with the languages, but I agree that learning them for the sake of AI usage is probably not the best idea if one is competent in a language already.

Disclosure: Lattner is one of my programming heroes, so I might be biased.

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