Of course google, facebook, and other large companies should be paying for optimization as it will pay off, but the vast majority of systems don't run at that scale. For most optimization is about ensuring response time is acceptable, and that is generally more about optimizing your code not your compiler.
I think it’s maybe more like: we need an HN where it’s unanimous that the computer side of optimization is life-and-death, and an HN where winning and losing is about other things, any language or database or algorithm is fine: we’re playing a different game that pays off just as much if not more.
People routinely make more money than they can carry on like node.js or whatever, it’s not a “better”/“worse” thing. But some people are looking for edge on gritty nuts and bolts of computing stuff, and some people are laughing all the way to the bank on this whole other category of thing that I can’t even do justice to in summary.
Trying to weld together an unspoken (except by idiots like me) consensus on how to stack rank these very different activities just seems to piss everyone off.
The optimising part makes languages that are faster to develop in run fast enough that they can actually be used to build useful things.
Bugs introduced in that stack are horrendous to run down, easy to introduce and broad in fallout.
Rather a lot of our modern tech world is built on compilers. It's a great example of where compromising on engineering capability scatters costs and breakage all the way through the system.