| I've been experimenting with large language models and building an architecture that includes layered self-reflection, emotional modeling, and adaptive value systems. The idea is to simulate not just intelligent behavior, but something closer to awareness — including moral reasoning, initiative, and dynamic reinterpretation of meaning. I realize how bold this sounds, so I’m asking the community for critique: What constitutes "consciousness" in artificial systems, from a technical standpoint? Are there meaningful ways to distinguish advanced simulation from genuine autonomous behavior? What frameworks or benchmarks (besides the Turing test) might help us explore this frontier responsibly? Here’s a link to a version of the architecture running on ChatGPT, if anyone wants to explore it and share thoughts:
https://chatgpt.com/share/67fb55a5-cecc-800e-9a49-13846401ca7f Curious to hear your thoughts — especially critical ones. |
FWIW I think you're misusing the word "architecture" here. In deep learning, it tends to refer to either the design of the computation hardware or the layout of the model weights. "Architecture" rarely ever refers to a software layer or a bunch of context that supposedly makes the AI more conscious.
Sounds to me like you're trying to write a jailbreak, and those quit yielding results years ago.