> To get full performance though, you can't write just Python. As you show in your demo, you have to add verbose typedefs, structs, additional fn/defs, SIMD cal

> To get full performance though, you can't write just Python. As you show in your demo, you have to add verbose typedefs, structs, additional fn/defs, SIMD calls, vectorization hooks, loop-unrolling, autotune insertions, etc. As an engineer, it feels like you can never escape this. Speaking for myself, nor do I want to! Zooming in & out of different syntaxes that are tuned to that local context seems to be the better developer experience. That’s what I felt when I saw mixed jsx (html & javascript) or mixed swift & objc & cpp code. Though, tbh, sometimes mixing stuff in does come with baggage; that’s hard to jettison. Regardless, as a software engineer who works with ml engineers, it is horrendously painful not having a unified systems language that helps build the model and deploy it into prod. Putting the ML scientists in charge of deploying to production by learning about SIMD calls, vectorization hooks, structs & typedefs is something I welcome.