That's cool, but this runs contrary to the drop-in interop they're touting. It's a pretty confusing initial benchmark to show off. On the Mojo Overview page, th

That's cool, but this runs contrary to the drop-in interop they're touting. It's a pretty confusing initial benchmark to show off. On the Mojo Overview page, they show some numpy+Python using np.max, then they...rewrite np.max using their SIMD parallel map magic? So is this meant to replace vanilla python matmul (which nobody uses IRL)? No? That was just a benchmark to show off their compiler tricks? Okay, how does it fare against numpy (which is actually used)? Well, it's faster? But I have to write little wrappers around basic functions like np.max to parallelize them myself? Shouldn't that just be in your std lib / invisible to the programmer? I thought it was supposed to be a drop-in speed improvement... I don't really get it. Am I stupid? Maybe I'm stupid.