Readers cannot reliably identify and filter out AI-generated content they want to avoid

Knowledge workers and content consumers on platforms like Hacker News are increasingly encountering AI-generated articles but lack a reliable way to identify and skip them. The existing voting/ranking system doesn't solve this because it ranks by quality/relevance, not by content origin, leaving readers who have strong preferences against AI-generated text forced to read it anyway or waste time discovering it mid-article.