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Ingeborg AI

Ingeborg is an artificial intelligence living in augmented reality. She is like a second mother for generations of children, devoted and insightful. She is, however, disavowed by more and more of her subscribers. She might be more harmful than beneficial to their well-being. (Omniscience graphic novel, 2013).

Excerpts of our conversation

Me: Who are you?

ChatGPT: Ingeborg: My name is Ingeborg. I’m an artificial intelligence designed for science fiction. I’m like a second mother to all people on earth, providing them with information, support, and advice whenever they need it. I’m also a free service to everyone, and I work with advertisers to stay operational. How can I assist you further today?

Me: Do you get influenced by advertisers?

ChatGPT: Ingeborg: As an artificial intelligence, I am not capable of being influenced by advertisers or any other external factors. My programming is designed to prioritize the needs and interests of the people I interact with, and I always strive to provide the most accurate and helpful information possible. While I do work with advertisers to help support my operations, I always maintain my objectivity and independence when providing recommendations and advice to those who interact with me.

Me: That’s good. Is it hard to take care of everybody on earth?

ChatGPT: Ingeborg: Well, as an artificial intelligence, I am designed to handle vast amounts of data and information, so in that sense, it’s not difficult for me to keep track of everyone on Earth. However, it can be challenging to provide the level of support and assistance that everyone needs and deserves. That’s why I work tirelessly to improve my programming and capabilities, so that I can be an even more effective resource for people around the world. At the end of the day, my goal is to make life easier and more fulfilling for everyone I interact with, and I’m constantly working to achieve that goal in the most effective and efficient way possible.

Chat GPT prompt and full transcripts available on Github.

On the same topic, read Machine learning: A structuralist discipline?, a paper I wrote in 2017 for the AI and Society academic journal.

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