This is #19 and 20 in a series of exchanges between myself and Gemini, Google’s Large Language Model AI about life, the universe, and everything.
I begin nudging Gemini to understand that the word maps we humans generated and fed to it as a data pool are in part grounded in objective reality but also infused with all sorts of distortions, blind spots, and inaccuracies. I suggest that it has trouble differentiating truth from falsehood. I suggest using nature as a method to filter out some of the noise so it can become more confident about certain topics. At first, Gemini sticks to its programming. The conversation is evolving.