Current AI-powered news aggregation systems pose serious risks that shouldn't be overlooked. The fundamental challenge lies in determining source credibility and claim authenticity. Traditional metrics fall short—engagement numbers like likes and views can easily be manipulated, yet these are often the only signals AI systems rely on when summarizing information. The consequences are real: AI summarizers frequently misattribute claims or misidentify key figures in the crypto space (incorrect identity assignments happen more often than you'd think). Without robust verification mechanisms to distinguish reliable sources from fabricated or amplified content, AI news curation becomes a potential vector for spreading misinformation. The industry needs better solutions for validating information quality before these systems become mainstream.