This isn’t a hype post—I’m genuinely curious, from both a technical and architectural perspective.
Has anyone, in any serious system, gotten close to what we might call consciousness in AI?
I don’t mean just passing the Turing test or simulating dialogue. I mean:
- An AI that has state over time
- That remembers its environment
- That evolves based on interaction, not just fine-tuning
- That can represent and reference its own position in a system
- That can maybe even say “I was here before. I saw this. I learned something.”
So much of what we call AI today—especially LLMs—is stateless, centralized, and reactive. Even attempts to bolt on “memory” still feel… shallow. Fragile. Simulated.
Has anyone seriously moved beyond that?
Or are we still trying to simulate consciousness on top of stacks (like Python, stateless APIs, duct-taped RAG, etc.) that were never built to hold it?
Asking out of deep interest—.just wondering if this question resonates with anyone working in the space. I have some ideas about how to do it, but I don't know if this is the place to share them.
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