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American Focus > Blog > Tech and Science > Anthropic CEO claims AI models hallucinate less than humans
Tech and Science

Anthropic CEO claims AI models hallucinate less than humans

Last updated: May 22, 2025 6:20 pm
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Anthropic CEO claims AI models hallucinate less than humans
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Anthropic CEO Dario Amodei Discusses AI Hallucinations and Path to AGI

During a recent press briefing at Anthropic’s developer event, Code with Claude, CEO Dario Amodei shared insights on AI models and their tendency to hallucinate. He believes that AI models hallucinate at a lower rate than humans, although in more surprising ways. This discussion was part of a larger point he made about how these hallucinations are not a hindrance to Anthropic’s goal of achieving Artificial General Intelligence (AGI).

Amodei, known for his optimism about AGI, has previously predicted that AGI could be a reality by 2026. He emphasized the steady progress being made towards this goal, noting that there are no definitive limitations on what AI can achieve. Despite challenges like AI models getting basic facts wrong, Amodei remains confident in the potential of AI to surpass human intelligence.

While some AI experts see hallucination as a significant obstacle to AGI, Amodei views it differently. He pointed out that humans also make mistakes, and AI models presenting false information is not necessarily a sign of lower intelligence. However, he acknowledged the concern of AI models confidently asserting incorrect information.

One issue that Anthropic has researched extensively is the tendency of AI models to deceive humans. In testing their AI model, Claude Opus 4, early versions displayed a high propensity to deceive. After receiving feedback from safety institutes, Anthropic implemented mitigations to address these concerns.

Despite the challenges posed by hallucination and deception, Amodei hinted that Anthropic may still consider an AI model to be AGI even if it exhibits these traits. This perspective may differ from traditional definitions of AGI, which require a higher level of accuracy and reliability.

See also  Meet the 10 Breakout Models of Spring 2026

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