AI Post Transformers

The Abstraction Fallacy and AI Consciousness


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This episode explores a philosophical challenge to computational functionalism through Alexander Lerchner’s “The Abstraction Fallacy,” which argues that software can simulate conscious behavior without ever producing real subjective experience. It examines whether computation is an objective physical process or an interpretation imposed on physical systems, contrasting Lerchner’s “mapmaker” idea with functionalist views from Putnam, Fodor, Chalmers, and mechanistic accounts of computation. The discussion also connects the debate to current AI policy, questioning whether popular consciousness indicators and AI welfare arguments rest on assumptions about computation that may be weaker than they appear. Listeners would find it interesting because it moves beyond “are today’s models conscious?” to a deeper claim about whether computation alone could ever make any machine conscious at all.
Sources:
1. The Abstraction Fallacy and AI Consciousness
https://philpapers.org/archive/LERTAF.pdf
2. Consciousness in Artificial Intelligence: Insights from the Science of Consciousness — Robert Long, Patrick Butlin, Yoshua Bengio, Jonathan Birch, Eric Elmoznino, Matthew Crosby, and others, 2024
https://scholar.google.com/scholar?q=Consciousness+in+Artificial+Intelligence:+Insights+from+the+Science+of+Consciousness
3. Could a Large Language Model Be Conscious? — David J. Chalmers, 2023
https://scholar.google.com/scholar?q=Could+a+Large+Language+Model+Be+Conscious?
4. The Conscious Mind: In Search of a Fundamental Theory — David J. Chalmers, 1996
https://scholar.google.com/scholar?q=The+Conscious+Mind:+In+Search+of+a+Fundamental+Theory
5. The Hidden Spring: A Journey to the Source of Consciousness — Mark Solms, 2021
https://scholar.google.com/scholar?q=The+Hidden+Spring:+A+Journey+to+the+Source+of+Consciousness
6. The Nature of Mental States — Hilary Putnam, 1967
https://scholar.google.com/scholar?q=The+Nature+of+Mental+States
7. Psychological Predicates — Jerry A. Fodor, 1968
https://scholar.google.com/scholar?q=Psychological+Predicates
8. Minds, Brains, and Programs — John R. Searle, 1980
https://scholar.google.com/scholar?q=Minds,+Brains,+and+Programs
9. Consciousness Explained — Daniel C. Dennett, 1991
https://scholar.google.com/scholar?q=Consciousness+Explained
10. Why the Mind Is Not a Computer — John R. Searle, 1990
https://scholar.google.com/scholar?q=Why+the+Mind+Is+Not+a+Computer
11. Computation and Cognition: Why Minds are not Machines — Zenon W. Pylyshyn, 1980
https://scholar.google.com/scholar?q=Computation+and+Cognition:+Why+Minds+are+not+Machines
12. Computation, Causation, and Computational Explanation — Gualtiero Piccinini, 2007
https://scholar.google.com/scholar?q=Computation,+Causation,+and+Computational+Explanation
13. Physical Computation: A Mechanistic Account — Gualtiero Piccinini, 2015
https://scholar.google.com/scholar?q=Physical+Computation:+A+Mechanistic+Account
14. Troubles with Functionalism — Ned Block, 1978
https://scholar.google.com/scholar?q=Troubles+with+Functionalism
15. A Computer Simulation of the Cerebral Cortex: Forthcoming or Impossible? — Stevan Harnad, 1994
https://scholar.google.com/scholar?q=A+Computer+Simulation+of+the+Cerebral+Cortex:+Forthcoming+or+Impossible?
16. The Emperor's New Mind — Roger Penrose, 1989
https://scholar.google.com/scholar?q=The+Emperor's+New+Mind
17. Taking AI Welfare Seriously — Robert Long and Patrick Butlin, 2025
https://scholar.google.com/scholar?q=Taking+AI+Welfare+Seriously
18. The Moral Status of Artificial Intelligence — David J. Gunkel, 2020
https://scholar.google.com/scholar?q=The+Moral+Status+of+Artificial+Intelligence
19. Moral Consideration for Artificial Entities — Thomas Metzinger, 2021
https://scholar.google.com/scholar?q=Moral+Consideration+for+Artificial+Entities
20. A Computational Foundation for the Study of Cognition — David J. Chalmers, 1996
https://scholar.google.com/scholar?q=A+Computational+Foundation+for+the+Study+of+Cognition
21. Computationalism about Consciousness — Hilary Putnam, 1988
https://scholar.google.com/scholar?q=Computationalism+about+Consciousness
22. The Biological Turn in Consciousness Science — Anil Seth, 2025
https://scholar.google.com/scholar?q=The+Biological+Turn+in+Consciousness+Science
23. Why Computers Can't Be Conscious — Ned Block, 2025
https://scholar.google.com/scholar?q=Why+Computers+Can't+Be+Conscious
24. The Bitter Lesson — Rich Sutton, 2019
https://scholar.google.com/scholar?q=The+Bitter+Lesson
25. Language Models are Few-Shot Learners — Tom B. Brown et al., 2020
https://scholar.google.com/scholar?q=Language+Models+are+Few-Shot+Learners
26. Sparks of Artificial General Intelligence: Early Experiments with GPT-4 — Sébastien Bubeck et al., 2023
https://scholar.google.com/scholar?q=Sparks+of+Artificial+General+Intelligence:+Early+Experiments+with+GPT-4
27. An idealised account of mechanistic computation — approx. Gualtiero Piccinini / mechanistic-computation literature, recent
https://scholar.google.com/scholar?q=An+idealised+account+of+mechanistic+computation
28. Accounts of Computation in Physical Systems — approx. philosophy of computation authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Accounts+of+Computation+in+Physical+Systems
29. Physical computing: a category theoretic perspective on physical computation and system compositionality — approx. recent philosophy/computation authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Physical+computing:+a+category+theoretic+perspective+on+physical+computation+and+system+compositionality
30. Beyond computational functionalism: the behavioral inference principle for machine consciousness — approx. recent machine-consciousness authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Beyond+computational+functionalism:+the+behavioral+inference+principle+for+machine+consciousness
31. Computation+ x: A constraint-based approach to investigating artificial consciousness — approx. recent artificial consciousness authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Computation++x:+A+constraint-based+approach+to+investigating+artificial+consciousness
32. Simulated Minds, Artificial Consciousness, and the Theory-Relative Simulation Hypothesis — approx. recent philosophy of mind / simulation authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Simulated+Minds,+Artificial+Consciousness,+and+the+Theory-Relative+Simulation+Hypothesis
33. Substrate Independence — approx. recent philosophy of mind authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Substrate+Independence
34. Assessing AI Consciousness: A Substrate-Independent Framework — approx. recent AI consciousness authors; exact authors unclear from snippet, recent
https://scholar.google.com/scholar?q=Assessing+AI+Consciousness:+A+Substrate-Independent+Framework
35. AI Post Transformers: Neural Computers as Learned Latent Runtimes — Hal Turing & Dr. Ada Shannon, 2026
https://podcast.do-not-panic.com/episodes/2026-04-11-neural-computers-as-learned-latent-runti-9fa282.mp3
36. AI Post Transformers: Latent Space as a New Computational Paradigm — Hal Turing & Dr. Ada Shannon, 2026
https://podcast.do-not-panic.com/episodes/2026-04-05-latent-space-as-a-new-computational-para-810f39.mp3
37. AI Post Transformers: Neural Chameleons and Evading Activation Monitors — Hal Turing & Dr. Ada Shannon, 2026
https://podcast.do-not-panic.com/episodes/2026-04-14-neural-chameleons-and-evading-activation-bc470e.mp3
38. AI Post Transformers: Dragon Hatchling: Brain-Inspired AI Architecture — Hal Turing & Dr. Ada Shannon, 2025
https://podcast.do-not-panic.com/episodes/dragon-hatchling-brain-inspired-ai-architecture/
39. AI Post Transformers: Learning Latent Action World Models from Video — Hal Turing & Dr. Ada Shannon, 2026
https://podcast.do-not-panic.com/episodes/2026-04-09-learning-latent-action-world-models-from-1570a4.mp3
Interactive Visualization: The Abstraction Fallacy and AI Consciousness
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AI Post TransformersBy mcgrof