Traditional software is predictable, reliable, and follows a strict set of rules. When properly build and debugged, software yields the same outcomes every time. AI, on the other hand, is anything but predictable and reliable. It can surprise us with novel solutions, forget its own abilities, and hallucinate incorrect answers. This unpredictability and unreliability can result in a fascinating array of interactions. I have been startled by the creative solutions AI develops in response to thorny problems, only to be stymied as the AI completely refuses to address the same issue when I ask it again. . . .
AI doesn't act like software, but it does act like a human being. I am not suggesting that AI systems are sentient like humans, or that they will ever be. Instead, I'm proposing a pragmatic approach: treat AI as if it were human, because, in many ways, it behaves like one. This mindset, which echoes my "treat it like a person" principle of AI, can significantly improve your understanding of how and when to use AI in a practical, if not technical, sense.
-Ethan Mollick, Co-Intelligence: Living and Working with AI
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