AI hallucinations are rising sharply in newer reasoning models, creating serious concerns over accuracy, and even AI experts admit they don’t know why.
AI initially seemed amazing with its many capabilities including answering questions, summarizing documents, and even writing code. But there are increasing concerns about how frequently AI systems invent false information – AKA hallucinations – with error rates in some tests reaching as high as 79%.
This problem recently impacted customers of Cursor, an AI coding assistant platform, when its AI support bot falsely claimed users could only install the software on one computer. The fabricated Cursor policy sparked outrage, with some customers canceling subscriptions before the company intervened. “We have no such policy. You’re of course free to use Cursor on multiple machines,” Cursor CEO Michael Truell clarified on Reddit.
This incident highlights how AI hallucinations are moving beyond harmless errors to cause real-world consequences.AI accuracy issues in models from OpenAI, DeepSeek, IBM
Independent tests about hallucinations reveal alarming trends, and the rising AI error rates have experts worried.
Vectara, which tracks how often AI invents information, says AI hallucinations are becoming more common, even in tasks that should be easy to verify.
