Earlier quoted context omitted.
Yes, it's extremely tired. FAANG companies are not dumb, they hire at scale and know how to find talented engineers using a rigorous/repeatable interview process. I think most of the complaints come from people who fail these interviews (I used to be one), and don't want to admit that maybe they're not good enough.
“Not good enough” is not an accurate description. There is an abundance of people more than “good enough” for roles at FAANGs. They may simply not be stellar at the examination process used by FAANGs to assess candidates. As much as many folks at those companies might want to partake in some fart-huffing and call that a predictor of engineering excellence, it’s not. It’s an optimization to shovel candidates at scale,…
Saying that a certain $PREDICTOR is bad in itself doesn't say much, in particular it doesn't say whether there's a better one available under the same constraints. Widespread leetcode interviews is just an indication that large companies have not found a better predictor yet (again, under the same constraints with respect to time, budget, etc.).