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Larry Ellison flags data accuracy as core weakness across AI models
Larry Ellison warned that poor data quality and lack of real time enterprise data remain the biggest weaknesses across leading AI models.
Oracle cofounder Larry Ellison said the biggest problem facing AI models including ChatGPT, Gemini, Grok, and Llama is unreliable and outdated data, according to a Times of India report. Ellison argued that without access to authoritative and real time enterprise data, AI systems risk hallucinations and incorrect outputs. He emphasized database driven architectures as critical for the trustworthy AI deployment.