An Epistemic Mirror

In the paper's words

This paper reframes the “hard problem” of consciousness from an intractable ontological mystery to a tractable problem of epistemology. It argues that the explanatory gap is a structurally necessary epistemic boundary condition of any cognitive architecture that employs dimensionality reduction for self-representation. The proposed mechanism is a Dimensionality Mismatch Hypothesis, wherein high-dimensional phenomenal states are irreversibly compressed into low-dimensional descriptive systems like language, making a complete reconstruction mathematically impossible.

The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.

Numbers it reports

1. 2.1 The Human Cognitive Apparatus as a Dimensionality-Reduction Engine The human mind functions as a sophisticated dimensionality-reduction engine.

   from 2.0

How it is done

1. Language functions as a lossy compression algorithm ; it reduces the high-dimensional, information-rich reality of phenomenal experience into low-dimensional, transmissible symbolic representations.

   from 1.0

2. Language operates as the primary lossy compression protocol for this process, transforming the rich, continuous internal state (the high-dimensional neural activity) into a discrete token (the low-dimensional word).

   from 2.0

3. It provides a direct method for visualizing the high-dimensional manifolds that encode meaning and observing the effects of their projection into low-dimensional language.

   from 4.3 AI as Epistemic Telescope

4. Artificial Intelligence: A Modern Approach (4th ed.).

   from References

What would falsify it

1. This framework is grounded in an observable, non-biological analog: the phenomenon of subliminal learning in Large Language Models (LLMs), which demonstrates how meaning can be encoded in high-dimensional geometries inaccessible to low-dimensional analysis, producing “intelligence without introspection.” This reframing necessitates a methodological shift from ontological explanation to epistemic cartography —a science dedicated to mapping the boundaries of cognition by treating descriptive failures as empirical data.

   from Consciousness

2. These non-biological cognitive architectures offer a transparent, observable analog for understanding the limitations inherent in any representational system, thereby providing empirical grounding for the dimensionality mismatch hypothesis.

   from 3.0

3. The Large Language Model as an Observable, Non-Biological Cognitive Architecture Unlike the biological brain, whose internal workings are only partially observable, an LLM operates through clearly defined mathematical operations within high-dimensional latent spaces , where concepts exist not as discrete symbols but as geometric manifolds.

   from 3.1

Where the claim stops

1. This paper performs an epistemic inversion , proposing that the challenge stems not from consciousness being inherently mysterious, but from a profound epistemic limitation in our cognitive architecture’s capacity for self-description.

   from 1.0

2. The hard problem, however, asks why and how any physical information-processing system should be accompanied by a subjective “what it is like” to be that system.

   from 1.0

3. The persistent failure to bridge this gap is not necessarily evidence of a flaw in physicalism or of dualism, but may instead reveal a structural limitation in the representational capacity of human cognition itself.

   from 1.0

Where to read

1. Consciousness1,353 words · 6 min
2. 3.0577 words · 3 min
3. 4.0416 words · 2 min
4. 5.0267 words · 1 min
5. 6.0411 words · 2 min