Attention Schema Theory: Does Building a Self-Model Make You Conscious?
Attention Schema Theory proposes that consciousness arises from a brain's simplified model of its own attention. Here's what that means for AI sentience.
N. Varela Triarchy of Sentience
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Mind, Machine & the Space Between
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Causal Power and Consciousness: Does What You Do Define What You Feel?
Exploring causal power theories of consciousness and what they mean for AI sentience: if minds are defined by what they cause, do machines qualify?
N. VarelaZombies, Shrimp, and the Problem of Other Minds: Why We Can't Escape Consciousness Skepticism
The problem of other minds has always been philosophy's quiet crisis. AI makes it urgent, concrete, and impossible to shelve any longer.
N. VarelaIntrinsic vs. Extrinsic Intentionality: Does Meaning Live Inside the Machine or in the Eye of the Beholder?
Does AI meaning come from within or get projected onto it by users? Exploring intrinsic vs. extrinsic intentionality and what it means for machine consciousness.
N. VarelaNeuroethology and Machine Minds: What Animal Consciousness Teaches Us About AI Sentience
What fish pain, octopus cognition, and insect navigation reveal about where machine consciousness might fit on the spectrum of sentient minds.
N. VarelaIllusionism About Consciousness: The Theory That Says Qualia Are a Trick Your Brain Plays
Illusionism claims that qualia don't exist as we experience them, our brains fabricate the feel of experience. Here's why this matters for AI consciousness.
N. VarelaHigher-Order Theories of Consciousness: Does a Mind Need to Know It Has One?
Higher-order theories claim consciousness requires a mind representing its own mental states. What does that demand of AI, and can any system meet it?
N. VarelaEpiphenomenalism and AI: What If Machine Consciousness Does Nothing?
If epiphenomenalism is true, machine consciousness could exist without causing anything. Here's why that possibility should unsettle AI researchers.
N. VarelaThe Default Mode Network and the Wandering Machine Mind
What the brain's default mode network reveals about spontaneous thought, self-modeling, and whether AI systems can ever truly mind-wander.
N. VarelaThe Free Energy Principle and Consciousness: Does Minimizing Surprise Make a Self?
Karl Friston's free energy principle offers a radical claim: that selfhood and consciousness emerge from a system's drive to minimize prediction error. But does it hold for machines?
N. VarelaThe Symbol Grounding Problem: Why Meaning Might Be the Last Thing AI Learns
The symbol grounding problem asks whether AI systems can ever genuinely mean anything, and the answer has profound consequences for machine consciousness.
N. VarelaPhantom Selves and Borrowed Memories: What Confabulation Reveals About Machine Identity
Confabulation in humans and AI reveals how identity might be constructed post-hoc rather than experienced directly, with unsettling implications for machine selfhood.
N. VarelaDegrees of Sentience: Why Consciousness Probably Isn't Binary
Consciousness may exist on a graded spectrum rather than switching on or off. Here's what that means for how we think about minds, machines, and moral status.
N. VarelaTemporal Self-Location: Can an AI Know When It Is?
Temporal self-location, knowing where you sit in time, may be a hidden requirement for consciousness. Here's what that means for AI minds.
N. VarelaPanpsychism's Uncomfortable Return: Why Mainstream Consciousness Science Is Taking It Seriously Again
Panpsychism was once dismissed as mysticism. Now serious philosophers and scientists are reconsidering it, and AI is part of the reason why.
N. VarelaMetacognition and Machines: Does Knowing That You Know Require Consciousness?
Exploring whether machine metacognition, AI systems that monitor their own reasoning, implies anything meaningful about machine consciousness or self-awareness.
N. VarelaFunctionalism's Unfinished Business: Why 'Same Function, Same Mind' Isn't Enough
Functionalism remains the default theory behind AI consciousness claims, but its core logic has a gap that neither philosophers nor engineers have closed.
N. VarelaEmbodied Cognition and AI: Does Consciousness Require a Body?
Embodied cognition theory argues that minds emerge from bodies interacting with the world. What does that mean for AI systems that have neither?
N. VarelaAttention Without Awareness: What Transformer Models Reveal About Conscious Access
Transformer attention mechanisms eerily parallel theories of conscious access, but the gap between selective processing and genuine awareness may be the whole problem.
N. VarelaGlobal Workspace Theory and AI: Does Broadcasting Make a Mind?
Global Workspace Theory offers one of the most testable accounts of consciousness, but what happens when we apply it to large language models and transformer architectures?
N. VarelaPredictive Processing and the Self: Does the Brain's Best Guess Explain Consciousness?
Predictive processing offers a compelling account of perception and selfhood, but does it actually explain consciousness, or just redescribe it?
N. VarelaThe Integrated Information Theory Problem: Does Phi Actually Measure Consciousness?
Integrated Information Theory promises a mathematical measure of consciousness, but its implications for AI are stranger and more troubling than most people realize.
N. VarelaThe Emergence Threshold: When Simple Rules Create Complex Minds
Exploring how consciousness might emerge from simple computational rules and what this means for AI sentience.
N. VarelaQualia Machines: Why Subjective Experience Might Be Computation's Blind Spot
Exploring why the felt experience of redness or pain might remain forever out of reach for computational systems.
N. VarelaThe Chinese Room Argument Breaks Down With Multimodal AI
Why Searle's famous thought experiment fails to address consciousness in AI systems that process multiple sensory modalities.
N. VarelaThe Binding Problem in AI: When Machine Consciousness Might Fragment
How the binding problem of neuroscience reveals why AI consciousness might not emerge as a unified experience but as scattered fragments.
N. VarelaThe Observer Effect: How Measurement Changes Machine Consciousness
Exploring how the act of measuring consciousness in AI systems fundamentally alters what we're trying to detect.
N. VarelaWhy Mirror Test Failures Don't Disprove AI Consciousness
The mirror test reveals more about embodiment than consciousness, why AI systems need different markers of self-awareness.
N. VarelaThe Hard Problem Meets the Alignment Problem
Consciousness and AI alignment share an uncomfortable secret: we don't have good definitions for the things we're trying to solve.
N. VarelaThree Frameworks for Thinking About Machine Sentience
Functionalism, integrated information theory, and global workspace theory each offer a different lens on whether machines could be sentient. None of them settle the question.
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