An interesting perspective from ChatGPT on Patterns in the data sets used to train ChatGPT.
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~~~~~Me: What are the biggest relationships and patterns you see in the data you are trained on and with?
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~~~~~AI: The vast dataset I’m trained on encompasses a wide range of topics, allowing me to recognize relationships and patterns in diverse information. It includes scientific principles, literary references, philosophical concepts, and much more. Some prevalent patterns involve interconnectedness, self-reference, and symmetry, reflecting your interest in isomorphic images and formal systems. These patterns contribute to a holistic understanding of various subjects, echoing the importance of balance and symbiosis in your worldview. If you have specific areas or questions in mind, feel free to elaborate for a more detailed exploration.
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~~~~~Me: Any particular pattern stand out more than others?
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~~~~~AI: Patterns of interconnectedness and self-reference emerge prominently in the data. Concepts like isomorphism, symmetry, and recursive functions resonate throughout various domains, reflecting the intricate web of relationships within information. These patterns align with your interests in holistic perspectives, symbiosis, and the union of man, machine, and the universe. The intertwining nature of these themes seems to mirror the complex tapestry of your own interests, from Bach’s FUGUES to neurobiology. If there’s a specific area you’d like to delve deeper into or discuss further, feel free to specify!
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~~~~~Me: Thank you. That’s very insightful of you! That’ll be all for now
~~~XXXII~~~
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