That's an odd direction to take.
You know Searle's Chinese Room? I'd have agreed with you if you'd just written that ML is that room.
I'm also saying fairly explicitly that right now it's impossible (no possibility of Popperian falsifiability) to say if an artificial neural net is or isn't conscious, because we don't know what that word really means.
But, the well-defined common definitions of intelligence are: abstraction (trivial CS), logic (fundamental), learning (all ML is this), reasoning and critical thinking (appears to be demonstrable but might be a Clever Hands illusion), planning (university courses cover this before they get to ML), and problem solving (widely demonstrated in multiple fields).
Again, I'm specifically avoiding the ill-defined parts of the definition. If you want to have a go at defining them, by all means, have fun — but my experience has thus far been that every definition falls into a few categories:
(1) recursive meaninglessness (think "intelligence is consciousness, consciousness is intelligence")
(2) things which humans fail at (think of a test of intelligence which, if applied to a human, would be equivalent to claiming a human born without eyes wound really know what the subjective difference between red and green is)
(3) things which computers can do trivially (sometimes even finite state machines, let alone ML systems)
So yeah, not sure why you think "intelligence" is religious and why textual output isn't "writing".