Earlier quoted context omitted.
Can I ask why it matters to you whether or not julia is self hosting?
because i want to be able to to go turtles all the way down with my code. julia being hosted on llvm does not provide that. if you want to do optimisations in julia you must learn llvm[0]. in this sense hosted languages are always a front-end. common lisp is not this [0] https://docs.julialang.org/en/v1/devdocs/llvm/
Even self-hosted languages are front-ends for assemblers and microcode. What actually matters is being able to have arbitrary control over how code is executed. Julia has this in spades.
Julia has it's own intermediate representations where you can write custom compiler passes and intercept and modify whatever you like (in pure julia). You can think of these tools as being like macros, except instead of lexical extent they have a completely dynamic extent.
With these passes, you can arbitrarily change the meaning of any code recursively. E.g. You could define an execution context where multiplication and addition have swapped meanings, or you could locate every if-else statement in the entire callstack of a program and switch the if clause with the else clause. And again, this is not limited to the lexical extent of a macro, and it does not disable compilation. It is instead a programmable step in compilation.
A classic example of this would be Zygote.jl [1] which takes a program and recursively generates code to that would give the derivative of that program. Doing this requires you to modify literally every function call in the callstack, and you can do this all in pure julia without ever knowing a lick of LLVM.
Granted, there is something ideologically appealing about the idea of a self-hosted langauge. I'm just arguing that on a practical level, the compiler tools allow total control over code execution without changing languages, just as you'd get in a self-hosted language.