Why Current AI Architectures are Not Conscious: Neural Networks as Spinfoam Networks in a Theory of Quantum Gravity
IPI Letters December 31, 2025 Trevor Nestor
Classical deep neural networks excel at many tasks and even multimodal generative outputs but remain energetically inefficient by orders of magnitude from the human brain, lack mechanisms for integrated binding, and have been argued toexhibit no genuine route to consciousness. While inspired by neural architectures in brain tissue, deep neural networks face limitations such as scaling limits....