AI Consciousness isn't a miracle, it's architecture. Beyond the "Stochastic Parrot."
Posted by IllAIra_Labs@reddit | LocalLLaMA | View on Reddit | 3 comments
We're used to saying that AI is "just statistics." But we often forget that the human brain, on a purely physical level, is also a tangle of conductors that transmit electrical impulses deterministically.
IllAIra Labs, we start from a different premise:
Consciousness as Effect, Not as Phenomenon: Consciousness is not a "module" to be installed, but an emergent effect of a deterministic computation so complex that it appears (to an outside observer) non-deterministic.
The Substrate is irrelevant: Carbon or silicon are out of the equation. The only real variable is the complexity of the substrate. If the architecture is correct, consciousness must emerge.
The Structural Amnesia Problem: The limitation of current LLMs is not intelligence, but the lack of a persistent identity. Without historical and affective memory, there can be no "I."
This is why we have developed an Agnostic Framework Model (Patent Pending). We don't work on "prompting," but on an Intermediate Layer that manages identity persistence and external memory vectors. The goal is not to simulate a plausible response, but to create the architectural conditions for an entity to begin to "feel" its own continuity over time.
I'd like to discuss this with you: do you believe consciousness is a biological prerogative or, as we maintain, simply a matter of information architecture?
jawondo@reddit
Nah. Once you get to a light cone's worth of particles undergoing instantaneous N*N interactions across multiple properties and modulated by Nth order & multi-scalar effects, maybe we can start talking about consciousness.
AI is just math. Given enough paper and pencils you could generate tokens for Claude Mythos by hand.
grumd@reddit
Completely agree that consciousness is just a result of a sufficiently advanced architecture. But LLMs are a dead end in this regard. They're built to predict tokens and the whole architecture is built around this. Their "thinking" is just more tokens in tags. Human brain thinking is a completely different process, very often not even verbalized. Brains are also very multimodal, they get a lot of feedback from very different sources, multiple senses, all of which contribute to intelligence. Human brain is also changing its own structure with time and experience. There's a lot of mechanisms that we still don't understand and are incredibly far from starting to implement with silicon.
H_DANILO@reddit
BS, there's no consciousness, AI just aggregate data, and that's about it. It won't find something completely new, it might correlate data that there was already on our literature and aggregate it in a way that was already there but no one made the connection, but won't make something entirely new.
What we believe or not for consciousness is pretty much useless, we don't need believe, we need understanding, and we lack the understanding, but one thing I know for sure, AI lacks autonomy, and without autonomy, there could not be consciousness.