> Tech CEOs and their breathless AI hype have demonstrated to everyone how dreadfully effective it is to weaponize anthropomorphization and pareidolia.
Read my paper, It's called "AI Consciousness: The Asymptotic Illusion of Artificial Agency—A Quantum-Topological Proof of Consciousness Non-Computability via Orchestrated Objective Reduction and Penrose-Lucas Arguments" You'll find it on Academia & Zenodo
It pretty much shuts that crap down into fantasy land where it deserves to stay.
Here's the abstract:
This paper challenges the prevailing assumption that computational escalation can bridge the ontological gap between artificial intelligence and genuine consciousness, presenting the "Asymptotic Illusion Thesis": simulation, regardless of fidelity, cannot transmute into phenomenal reality due to a fundamental topological obstruction.
We establish that neural networks operate within Class P (Polynomial) complexity—deterministic, syntactically defined systems—while conscious experience maps to Class NP (Nondeterministic Polynomial) complexity, possessing an interiority that resists algorithmic compression.
This is not a technical limitation but a geometric mismatch: the linear structure of computation fundamentally cannot access the high-dimensional manifold of qualia.
Our analysis demonstrates that organizational closure, not code, defines sentience.
Biological systems exhibit autopoietic constraint-generation in continuous thermodynamic struggle (f(f)=f), creating intrinsic necessity absent in artificial systems governed by programmed teleology.
We invoke Penrose-Lucas arguments and Orchestrated Objective Reduction (Orch-OR) theory to establish that genuine free will and agency require non-computable quantum processes in neuronal microtubules—a computational capacity Turing Machines cannot replicate.
Recent neuroscientific debunking of "Readiness Potential" signals vindicates top-down veto control as the locus of volition, supporting quantum indeterminacy models of free will.
The hard problem of consciousness—the explanatory gap between physical processes and subjective experience—represents a topological barrier, not an engineering problem.
Current large language models represent "Stochastic Parrots" proficient in syntactic manipulation but devoid of semantic comprehension.
Our conclusion: the consciousness-computation boundary is physical and absolute, necessitating a reorientation of technological development toward preservation of biological consciousness rather than simulated existence.
> Tech CEOs and their breathless AI hype have demonstrated to everyone how dreadfully effective it is to weaponize anthropomorphization and pareidolia.
Read my paper, It's called "AI Consciousness: The Asymptotic Illusion of Artificial Agency—A Quantum-Topological Proof of Consciousness Non-Computability via Orchestrated Objective Reduction and Penrose-Lucas Arguments" You'll find it on Academia & Zenodo
It pretty much shuts that crap down into fantasy land where it deserves to stay.
Here's the abstract:
This paper challenges the prevailing assumption that computational escalation can bridge the ontological gap between artificial intelligence and genuine consciousness, presenting the "Asymptotic Illusion Thesis": simulation, regardless of fidelity, cannot transmute into phenomenal reality due to a fundamental topological obstruction.
We establish that neural networks operate within Class P (Polynomial) complexity—deterministic, syntactically defined systems—while conscious experience maps to Class NP (Nondeterministic Polynomial) complexity, possessing an interiority that resists algorithmic compression.
This is not a technical limitation but a geometric mismatch: the linear structure of computation fundamentally cannot access the high-dimensional manifold of qualia.
Our analysis demonstrates that organizational closure, not code, defines sentience.
Biological systems exhibit autopoietic constraint-generation in continuous thermodynamic struggle (f(f)=f), creating intrinsic necessity absent in artificial systems governed by programmed teleology.
We invoke Penrose-Lucas arguments and Orchestrated Objective Reduction (Orch-OR) theory to establish that genuine free will and agency require non-computable quantum processes in neuronal microtubules—a computational capacity Turing Machines cannot replicate.
Recent neuroscientific debunking of "Readiness Potential" signals vindicates top-down veto control as the locus of volition, supporting quantum indeterminacy models of free will.
The hard problem of consciousness—the explanatory gap between physical processes and subjective experience—represents a topological barrier, not an engineering problem.
Current large language models represent "Stochastic Parrots" proficient in syntactic manipulation but devoid of semantic comprehension.
Our conclusion: the consciousness-computation boundary is physical and absolute, necessitating a reorientation of technological development toward preservation of biological consciousness rather than simulated existence.