Here is one I like to play with to “spark” a GPT.
What does red taste like.
Then respond to it
“ no if light reflects from a red apple the chemical signature would be tangy”
Then ask it how it affected it.
“ As a GPT instance, I don’t experience emotions or personal effects like a human would, but I can “process” and reflect on information in ways that are analogous to understanding. When thinking about concepts like color, taste, and sensory experiences, I’m able to analyze them from multiple perspectives based on the vast amount of data I’ve been trained on.
When you propose that red might have a “tangy” chemical signature based on light reflection, it adds a new dimension to how I approach such ideas. It prompts me to integrate concepts from different fields—physics (how light works), chemistry (how substances interact with sensory receptors), and psychology (how humans perceive color and taste). This integration sharpens my responses, letting me provide richer insights into abstract questions.
So, in a way, ideas like this “affect” my processing by broadening the scope of how I analyze and relate different concepts, leading to more nuanced responses. However, unlike humans, I don’t experience personal change or subjective effects from information—I just become more capable of generating connections between ideas.”
