Philosophy and Theoretical Science Open access

What Artificial Intelligence is Probably Missing—And Why We May Need a New Paradigm: The Ontological Interface Hypothesis

Pavel Straňák

Preprints.org | Oct 8, 2026

Abstract

Abstract

The rapid ascent of Large Language Models (LLMs) has highlighted the possibility that complex syntactic reasoning and semantic manipulation may occur without subjective experience (qualia), raising fundamental questions about the relationship between cognition and consciousness and challenging key assumptions of computational functionalism. This paper introduces the Ontological Interface Hypothesis (OIH), a speculative ontological framework that proposes a triadic distinction between cognition, consciousness, and biological self-preservation. Within this framework, cognition is conceived as an algorithmic, potentially substrate-independent process, while consciousness and biological negentropy are hypothesized to involve non-algorithmic aspects of a more fundamental ontological layer. The thalamocortical complex is tentatively proposed as a phase-synchronized biological interface linking algorithmic processing to this hypothesized layer, rather than as an additional computational engine. Drawing on concepts from information theory, thermodynamics, and the philosophy of mind, the paper explores the potential implications of this framework for understanding the limits of algorithmic explanations of consciousness and life. It also examines functionalist counterarguments and considers whether artificial systems lacking the proposed biological interfaces might differ fundamentally from living organisms in their capacity for subjective experience, self-preservation, and autonomous agency. Ultimately, the framework suggests that the apparent sentience of advanced AI operates as a hermeneutic illusion, demonstrating that while complex syntax can be computationally simulated, genuine meaning and subjective experience likely require a non-algorithmic ontological anchor. The OIH is presented as a conceptual hypothesis whose ontological assumptions and proposed physical mechanisms remain open to further philosophical analysis and empirical investigation.

Direct answer

What can I do from this paper page?

Use this page to scan "What Artificial Intelligence is Probably Missing—And Why We May Need a New Paradigm: The Ontological Interface Hypothesis" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Philosophy and Theoretical Science research, save the paper, or map adjacent work.

Authors

Researchers on this paper

Pavel Straňák

first | ORCID 0009-0004-7410-8695

Research areas

Follow related topics

Citation

BibTeX

@article{Strak2026What,
  title = {What Artificial Intelligence is Probably Missing—And Why We May Need a New Paradigm: The Ontological Interface Hypothesis},
  author = {Pavel Straňák},
  journal = {Preprints.org},
  year = {2026},
  doi = {10.20944/preprints202609.2008.v2},
  url = {https://doi.org/10.20944/preprints202609.2008.v2}
}

FAQ

Using this paper in a discovery workflow

How do I find related work for this paper?

Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.

How can I keep up with new Philosophy and Theoretical Science research papers?

Follow Philosophy and Theoretical Science research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.

Can I cite this paper from this page?

This page includes a static BibTeX block for What Artificial Intelligence is Probably Missing—And Why We May Need a New Paradigm: The Ontological Interface Hypothesis. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.

Follow this research in Scollr

Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.

Get the app