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"Thinking" isn't reasoning the way it sounds, and memory works nothing like people assume — the specific misunderstandings that shape how people use and trust these tools
Abdelrahman Ahmed / Pexels
AI chatbots have become common enough in daily use — drafting emails, answering questions, helping with code — that most people have developed working intuitions about how they behave without necessarily having an accurate picture of what's actually happening underneath that behavior. Several of these intuitions are reasonable extrapolations from how the tools appear to function, and several are specifically wrong in ways that affect how people should actually use and trust them.
The misunderstandings in this list are drawn from the gap between how these systems present themselves in conversation and what's actually happening mechanically, a gap that matters because several of the most consequential mistakes people make when relying on chatbots — trusting confident-sounding wrong answers, assuming continuity between sessions that doesn't exist, treating fluent language as evidence of genuine understanding — trace directly back to these specific misunderstandings.
