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Artificial intelligence may now surpass humans in factual accuracy\u2014at least in certain structured scenarios\u2014according to Anthropic CEO Dario Amodei. Speaking at two major tech events this month, VivaTech 2025 in Paris and the inauguralCode With Claude<\/i> developer day, Amodei asserted that modern AI models, including the newly launched Claude 4 series, may hallucinate less often than people when answering well-defined factual questions, reported Business Today<\/i>.<\/p>\n<\/div>\n Hallucination<\/a>, in the context of AI, refers to the tendency of models to confidently produce inaccurate or fabricated information, the report added. This longstanding flaw has raised concerns in fields such as journalism, medicine, and law. However, Amodei\u2019s remarks suggest that the tables may be turning\u2014at least in controlled conditions.<\/p>\n<\/div>\n \u201cIf you define hallucination as confidently stating something incorrect, humans actually do that quite frequently,\u201d Amodei said during his keynote at VivaTech. He cited internal testing which showed Claude 3.5 <\/a>outperforming human participants on structured factual quizzes. The results, he claimed, demonstrate a notable shift in reliability when it comes to straightforward question-answer tasks.<\/p>\n<\/div>\n Reportedly, at the developer-focusedCode With Claude<\/i> event, where Anthropic introduced the Claude Opus 4 and Claude Sonnet 4 models, Amodei reiterated his stance. \u201cIt really depends on how you measure it,\u201d he noted. \u201cBut I suspect that AI models probably hallucinate less than humans, though when they do, the mistakes are often more surprising.\u201d<\/p>\n<\/div>\n