Translations generated by large language models read fluently even when they drop clauses, lose negations, round numbers, or invent wording that changes the meaning, which is more dangerous than the obvious errors of statistical machine translation because reviewers are more likely to overlook errors in fluent text (automation bias/fluency heuristic).