Note that the section with that heading also discusses several other negative features. The only false positive rate mentioned in the article is more like 30%,

Note that the section with that heading also discusses several other negative features. The only false positive rate mentioned in the article is more like 30%, and the true positives in that sample were mostly trivial mistakes (as in, having no effect on the validity of the message) and that is in preprints that have not been peer reviewed, so one would expect that that false positive rate would be much worse after peer review (the true positives would decrease, false positives remain). And every indication both from the rhetoric of the people developing this and from recent history is that it would almost never be applied in good faith, and instead would empower ideologically motivated bad actors to claim that facts they disapprove of are inadequately supported, or that people they disapprove of should be punished. That kind of user does not care if the "errors" are false positives or trivial. Other comments have made good points about some of the other downsides.