Image: davidpreichert.substack.com
The Story
IIT explains one route to conscious experience, but the decisive experiment has not crowned it.
IIT offers a clear account of how unified experience might arise from causal integration, but the strongest direct comparison with global neuronal workspace theory challenged important predictions of both. Current evidence supports continued testing, not a settled winner, and it leaves AI consciousness unresolved.
- The 2025 adversarial collaboration found that IIT’s predicted sustained synchronization within posterior cortex was not observed, challenging a key IIT tenet.
- The same study found evidence aligning with some predictions of both IIT and global neuronal workspace theory, while challenging important claims of each.
- A review argues that experimentally driven approaches currently cannot establish which consciousness model is best.
Deeper Insight
IIT puts experience in a system's physical causal structure, not its code. By that rule a chatbot could talk forever with no one home.
Einstein didn't fix the ether; he dropped it and rebuilt the question. Consciousness researchers want the same move: a deeper structure, not one more brain mechanism. Integrated Information Theory, IIT, is the boldest candidate, tying experience to integrated causal structure, and 2025 tests challenged its key predictions. For AI, the stakes are plain: imitation may never add up to experience.
- What it could changeA principle linking structure to experience would let us check machines for minds instead of guessing from their words.
- How it touches todayHead-to-head tests of rival theories have already shaken both IIT and its main competitor.
- Our futureWe may build systems that speak like us long before we can tell whether anyone is listening.
- The originating article argues that reducing consciousness to a mechanism may misunderstand the problem and uses Einstein’s rethinking of the ether as an analogy for seeking a deeper structure.
- IIT treats physical causal structure, not abstract computation alone, as central, which gives it a distinct framework for considering artificial systems.
- A 2022 review says IIT’s phenomenology-first approach faces a data-fitting problem because available information does not determine which explanatory hypotheses are correct.
Sources · 8
Featured · Analysis · reddit.com
Consciousness research is ready for its Einstein moment
Linked article (iai.tv): Consciousness research is ready for its Einstein moment | Harald Wiltsche, Ken Archer » IAI TV ## Einstein's abandonment of the ether holds the key to consciousness 22nd October 2026 ## Harald A. Wiltsche | Professor of Philosophy at Linköping University, Sweden, and Visiting Professor of Philosophy at Stanford University. ## Ken Archer | Product Leader in Responsible AI a
Read sourceAnalysis · iai.tv
Consciousness research is ready for its Einstein moment
Consciousness research is ready for its Einstein moment | Harald Wiltsche, Ken Archer » IAI TV ## Einstein's abandonment of the ether holds the key to consciousness 22nd October 2026 ## Harald A. Wiltsche | Professor of Philosophy at Linköping University, Sweden, and Visiting Professor of Philosophy at Stanford University. ## Ken Archer | Product Leader in Responsible AI at Microsoft and Doctoral
Read sourceAnalysis · davidpreichert.substack.com
A critical look at the experimental predictions of the Integrated Information Theory (IIT) of consciousness
A critical look at the experimental predictions of the Integrated Information Theory (IIT) of consciousness # A critical look at the experimental predictions of the Integrated Information Theory (IIT) of consciousness David P. Reichert Dec 09, 2025 Image generated by Gemini. I’m continuing my invest
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