You're correct that verification *reduces* risk. It does not eliminate risk. Humans are imperfect. That does not mean that we should stop seeking understanding on principle though, because the journey towards that understanding improves outcomes.
Recall also that LLMs are not actually entities. In their current form, there is no sentience, there is no agency. They are tools. Therefore, their output must benefit the user that requested it. Right now, that's humans (and, ideally, the planet at large; we don't exist in a vacuum) and so it makes sense that humans should verify that output and try to ensure that it aligns with their goals.
That's not to say that the output of an LLM is useless, far from it. But we should still *try* to understand its output. It gives us at least some chance to notice flaws, and an even greater chance to appreciate the implications and tradeoffs of the solution it picked.