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Core Viewpoint - The article discusses the challenges faced by generative AI voice assistants, particularly in executing simple commands reliably, highlighting a gap between user expectations and actual performance [14][18]. Group 1: User Experience with AI Assistants - Users have reported frustrations with AI voice assistants like Alexa, which fail to execute basic commands such as brewing coffee or turning on lights, despite their advanced capabilities [4][8]. - The transition to generative AI has led to a situation where users experience inconsistent responses, with the AI providing creative but unhelpful reasons for not executing commands [7][16]. Group 2: Technical Limitations of Generative AI - Generative AI introduces a level of randomness that can lead to misunderstandings in command execution, making it unsuitable for tasks requiring precision and reliability [18][22]. - Traditional voice assistants operated on a template-matching basis, ensuring predictable outcomes, while generative models struggle to maintain consistency in system calls [19][23]. Group 3: Potential and Future Directions - Despite current limitations, there is recognition of the potential of generative AI to understand complex tasks and improve user interactions, suggesting a paradigm shift in capabilities [30][34]. - The article suggests that the chaos observed may not be a failure of generative AI but rather a misalignment of its application in contexts where deterministic execution is critical [44].