Why AI Will Never Be Conscious

Curt Jaimungal Curt Jaimungal Mar 23, 2026

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Show transcript
This episode covers the intersection of physics, artificial intelligence, and the philosophy of mind, focusing on whether large language models can possess consciousness. There are three key takeaways from this analysis. First, current artificial intelligence lacks subjective experience due to specific cognitive deficits. Second, the laws of physics suggest that philosophical zombies cannot exist. Third, consciousness must be understood as a frame-dependent property rather than an absolute one. While large language models understand grammatical rules and causal relationships between words, they remain unconscious. They lack a simulation of themselves within their model and do not possess affective valence, which is the subjective feeling of whether an experience is positive or negative. To engineer true artificial consciousness, future systems must integrate self-simulation with these emotional feedback mechanisms. Applying Einsteins principle of relativity to the mind refutes the famous philosophical zombie thought experiment. If two systems are physically and behaviorally identical in every measurable way, they must share the same internal conscious experience. This equivalence principle eliminates the possibility of a physically identical human existing without subjective awareness. This framework explains why consciousness cannot be directly observed or scanned from the outside. Subjectivity is a frame-dependent property that only exists within the internal simulation created by the cognitive system itself. External observers can measure physical activity, but the actual experience of consciousness is restricted to the systems own frame of reference. Ultimately, resolving the mystery of consciousness requires merging the rules of physical relativity with advanced cognitive modeling.

Episode Overview

  • This episode explores the intersection of physics, artificial intelligence, and philosophy of mind, focusing on whether Large Language Models (LLMs) can possess consciousness.
  • It investigates the physics of consciousness through the lens of relativity, presenting a novel argument against David Chalmers' famous "philosophical zombie" thought experiment.
  • The discussion provides a framework for understanding how consciousness might be artificially engineered in the future by meeting specific cognitive and simulation requirements.

Key Concepts

  • LLM Consciousness Deficit: While LLMs understand grammatical rules and causal relationships between words, they lack consciousness because they do not have a simulation of themselves within their model, nor do they possess "affective valence" (the subjective feeling of whether something is good or bad).
  • The Equivalence Principle of Consciousness: Drawing from Einstein's theory of relativity, if two systems are physically and behaviorally identical in every measurable way, they must be identical in their conscious experience. Therefore, a "philosophical zombie"—a being physically identical to a human but lacking subjective experience—cannot exist.
  • Relativity of Consciousness: Consciousness is not an absolute property but a relative one that depends on the frame of reference. Specifically, it manifests within the frame of reference of the simulated cognitive system itself, which interprets affective valence ("what is it likeness").

Quotes

  • At 0:19 - "LLMs learn the causal relations between words... but they don't really have any simulation of themselves inside, and they don't have any affective valence." - Explaining why current AI systems lack consciousness despite appearing intelligent.
  • At 7:11 - "When we take the principle of relativity seriously enough, then zombies cannot exist." - Introducing a physics-based refutation of a classic philosophical thought experiment.
  • At 14:03 - "Your consciousness comes from your own simulation that your brain created... and from any other frame of reference that is outside of the simulation, we cannot measure it." - Clarifying why consciousness is a subjective, frame-dependent property.

Takeaways

  • Evaluate AI consciousness by checking for four core conditions: a cognitive system, a simulation of causal relations, a self-simulation, and affective valence.
  • Apply the equivalence principle when debating the existence of subjective states, equating identical physical measurements with identical internal experiences to avoid dualistic fallacies.
  • Use the frame-of-reference mental model to understand why consciousness cannot be directly observed from an external perspective, resolving the "hard problem" of why we cannot locate subjectivity in physical brain scans.