As an expert in the field of artificial intelligence and virtual assistants, I can provide a detailed comparison between the concept of "vision" as it pertains to AI systems and the fictional AI assistant "Jarvis" from the Marvel Universe.

Vision in the context of AI often refers to the ability of a system to interpret and understand visual data from the environment, such as images or video. This involves complex processes like object recognition, scene interpretation, and sometimes even predicting future events based on visual cues. AI vision systems can be used in various applications, from self-driving cars to surveillance and medical imaging.

Jarvis, on the other hand, is a fictional AI assistant created by Marvel Comics, famously portrayed as Tony Stark's (Iron Man) intelligent system that assists with various tasks, including managing Stark's home, armor, and personal affairs. Jarvis is depicted as having a comprehensive understanding and control over the environment, including visual data, but also possessing a wide range of other capabilities such as natural language processing, decision-making, and even emotional intelligence to some extent.

While both AI vision systems and Jarvis share the ability to process visual information, there are significant differences. AI vision systems are specialized tools designed for specific tasks within the realm of visual data processing, whereas Jarvis represents a more holistic and advanced concept of an AI assistant with capabilities that extend far beyond vision.

In summary, while there is some overlap in the capabilities related to processing visual data, the "vision" of AI systems is not the same as the full scope of capabilities attributed to Jarvis.

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The Vision then wakes up and is confused about where he is. After a brief fight scene he is changing his appearance...and talking. Captain America asks why he sounds like Jarvis. Then Vision says (this is as close to quoted as I can remember) - "I am not the creation of Ultron, I am not Ultrom himself or Jarvis.read more >>