Saturday, February 21, 2026

AI Chatbots Struggle to Maintain Reliability in Extended Conversations

A major study analyzes over 200,000 AI conversations, finding chatbots excel at single-turn interactions but struggle to maintain accuracy and coherence over time. Meanwhile, new research uncovers critical oversight and safety gaps as AI agents become more sophisticated and autonomous.

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A comprehensive new study analyzing over 200,000 AI conversations has revealed a troubling pattern that could reshape how we think about AI reliability. Research conducted jointly by Microsoft and Salesforce shows that AI chatbots experience a dramatic 112% drop in reliability during extended conversations, despite performing exceptionally well on single-turn interactions. According to reports from this groundbreaking research, while AI models excel at answering isolated questions, they struggle significantly to maintain accuracy and coherence as conversations progress through multiple exchanges.

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