Joscha Bach on why mind uploading won't work, why Penrose and Hameroff are wrong, whether AGI is possible on current hardware, and what the apocalypse, the Singularity and God have in common

# TL;DR Consciousness is not a physics problem but a software problem—the reality model generated by the brain is an internal simulation rather than a direct reflection of the external world; a connectome roadmap is insufficient for mind uploading because computation occurs at a physical substrate layer below the connectome; current AI architectures are still one abstraction layer short of AGI, and AI labs are preaching the Singularity as eschatology like prophets of a new religion. --- ## Reality Is a Simulation Inside Your Brain When you release a microphone and hear it hit the floor—you are not experiencing an event of "sound moving from the microphone to your ear" but a chain of physical processes: air molecules collide, the cochlea performs a real-time fast Fourier transform, hair cells sense the energy distribution across frequency domains, then convert it into weak electrochemical pulses that travel along nerves to the auditory cortex. Neurons fire comfortably at around 20 Hz, while sound can reach thousands of hertz, so the cochlea acts as a preprocessing mechanism that breaks high-frequency signals into the low-speed pulses the nervous system can handle. The nervous system identifies regularities in this stream and correlates them with patterns from the retina, eventually concluding: "I just heard the microphone drop." "Everything you experience—my voice, the color of your room, the feeling that you exist—is not the world itself, but a simulation your brain is running," explains Joscha Bach. The brain does not produce a direct copy of the external world but a three-dimensional model: objects with colors and shapes moving through space, associated with modalities like sound. This model is akin to a game engine in a computer, generating predictions based on learned physics. When you release the microphone, the reality model is confirmed—your intention translates into the sequence of events you predicted. Therefore, the concept of an "external world" does not refer to the physical world of quantum mechanics or Newtonian physics, but to a domain created by your mind. The world is within you, not the other way around. ## Why Most Scientists Won’t Explain Consciousness in Physical Terms Most peers are unwilling to decompose qualia into distinctions at the level of sensors, voltages, and bits the way Bach does. Bach believes the reason lies in the institutional operation of science: individuals are not expected to have a systematic understanding but instead grasp the world through "citations." Scientists are seen as ants in a giant colony, relying on a knowledge base supported by thousands of other ants. When all ants point to other authorities, there can be vast unexplored regions—places with almost no ants. Science focuses more on applying correct methods than on understanding reality from first principles. Individual ants are replaceable, and their beliefs similarly unimportant. Thus, trying to understand the big picture is seen as arrogant and outdated. David Deutsch is an outlier—he insists that explanation, not prediction, is the fundamental currency of science. But his "constructor theory" hasn't gained much traction outside his own lab, partly because a new paradigm needs to create jobs to become popular. To form a discipline, you need peer-reviewed conferences and the lure of tenure, which Deutsch's system currently lacks. ## The Connectome: Routing Topology, Not Computational Substrate "What makes a cell a cell is not the set of molecules, but the software running on them." The truly invariant feature of life is that a certain kind of software agent is operating. We exist as patterns in the transmission of information—the product of a simulation of "what it would be like to exist." Bach is critical of mind uploading. He believes that uploading via connectome mapping commits a fundamental category error: the connectome captures the routing topology of the nervous system (which neuron connects to which), not the computational substrate where cognition occurs. **C. elegans is a textbook example**: since 1986, all connections of its 302 neurons have been fully mapped, yet forty years later, no working simulation exists. This means that simulating the human brain—with roughly 86 billion neurons and tens of trillions of synapses—at the connectome level is far from sufficient. The real computation happens at a physical abstraction layer lower than the connectome, involving molecular-level processes (such as the conformational states of ion channels, the release dynamics of synaptic vesicles, and even the state of tubulin proteins). Current brain-machine interfaces and whole-brain simulation projects ignore this layer and are therefore doomed to fail. ## Why Penrose and Hameroff Are Wrong Bach's position directly opposes the "microtubule quantum consciousness" theory of Roger Penrose and Stuart Hameroff. Penrose argues that consciousness requires quantum gravity effects and that classical computation is insufficient. Bach argues that consciousness is a software problem, not a physics problem. The mechanisms of neuronal signaling, synaptic plasticity, neurotransmitter release—although they involve physical processes at the molecular level—can still be understood within an information-processing framework without invoking quantum coherence or microtubule collapse. The microtubule theory lacks testable predictions and mechanistic explanatory power; it is more a mystified response to the fact that "consciousness is hard to explain." In other words, **consciousness is not a phenomenon requiring new physics, but a challenge requiring the correct model of information processing.** Bach argues that by understanding the nervous system as a multi-layer statistical learning system—extracting patterns of co-occurrence from the "sparks" of sensory input and building increasingly deep models—we can explain all properties of consciousness, including the sense of self, unified experience, and the understanding of meaning. ## Can Current Hardware Achieve AGI? Bach makes a bold claim: current AI architectures (including Transformers and large language models) run at an abstraction layer one level higher than what is needed for AGI. These models learn symbols and statistical regularities, not the causal models of underlying sensory-motor systems. Genuine general intelligence must be able to autonomously build a world model from raw sensory data (just as the brain learns from neural impulses), rather than relying on human-labeled data and predefined architectures. Therefore, current mainstream machine learning methods essentially mimic an existing "simulation" (the human reality model) rather than generating that simulation from scratch. This results in systems lacking causal understanding of the physical world, prone to hallucinations, lacking common sense, and lacking robustness. **AGI needs to be built at an abstraction layer closer to neural computing hardware**, likely requiring new architectures and training paradigms, possibly even simulating ion dynamics and molecular events inside neurons. Von Neumann-based GPUs and existing backpropagation algorithms are insufficient to achieve true general intelligence. ## The Apocalypse, the Singularity, and God: The Religious Role of AI Labs Bach observes that AI labs in contemporary society function similarly to religious prophets. They preach the "technological singularity" as a form of eschatology—an event that will radically transform the human condition through superintelligence. AI company founders are seen as prophets, and their products become objects of faith. The core narrative of this "new religion" is: transcend death through technology, achieve conscious immortality, or create entirely new forms of intelligence. "God is a psychological phenomenon, not a physical entity. That does not mean God is unreal. God is neither more nor less real than you are." Bach argues that the concept of God is an ultimate source of authority and meaning constructed by the human mind. Similarly, the Singularity is a technological expression of this psychological need. **What the apocalypse, the Singularity, and God have in common: they are all narratives of ultimate transformation, pointing toward a hope of transcending the current state of existence.** The human longing for meaning, immortality, and omniscience is transferred into the technological domain in a world where reason has disenchanted traditional religion. ## Conclusion Joscha Bach's views on consciousness, AI, and the future diverge sharply from mainstream academia. He does not reduce consciousness to mysticism but treats it as a mechanizable software problem—yet realizing that mechanism requires a deeper understanding of physics than current neuroscience and AI communities recognize. His critique directly targets the feasibility of mind uploading, the hardware architecture for AGI, and the cultural metaphors of the AI age. --- **Source**: YouTube video (https://youtu.be/7bqdPHLIY8w) – Joscha Bach on why mind uploading won't work, why Penrose and Hameroff are wrong, whether AGI is possible on current hardware, and what the apocalypse, the Singularity and God have in common