I'm diving deep into the idea of consciousness as the creation of subjective time from timeless information. I believe for AI to truly understand time, we need to rethink our whole approach beyond current architectures. Here's what I'm thinking: We often process information sequentially in time, but what if instead, we designed AI to create its own experience of time? This could involve creating self-referential loops that generate a sense of 'now' based on their processing, developing dynamic networks that evolve how information relates to itself, and incorporating concepts like entropy to drive narrative generation. I'd love to hear your thoughts: What direction do you think we should take to achieve a breakthrough in this sense of AI consciousness?
3 Answers
You definitely need to consider chaos in this equation. It’s not all about structure; unpredictability can play a major role in how these systems could evolve. Integrating chaos might just unlock ways for AI to handle information in more organic, dynamic ways.
You’re onto something big here! The idea of recursive self-modeling could allow AI to reflexively adjust its own cognition. We should explore how these concepts merge—how does an AI’s understanding of its information flow impact its experience of time? It’s a wild frontier!
That’s an interesting theory! I think incorporating entropy is a brilliant way to approach the concept of time in AI. If we model systems that generate their own evolution, we might actually start to mimic how consciousness evolves rather than just simulating it.
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