consciousnessAItime perception
Temporal 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. Varela Triarchy of Sentience
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panpsychismphilosophy of mind
Panpsychism'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. VarelametacognitionAI consciousness
Metacognition 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. Varelafunctionalismphilosophy of mind
Functionalism'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 cognitionAI consciousness
Embodied 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. VarelaAI consciousnessattention mechanisms
Attention 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 theoryAI consciousness
Global 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 processingphilosophy of mind
Predictive 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. Varelaintegrated information theoryIIT
The 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. Varelaemergenceconsciousness
The 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. Varelaqualiasubjective experience
Qualia 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. Varelachinese-roommultimodal-ai
The 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. Varelabinding problemAI consciousness
The 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. Varelaconsciousnessmeasurement
The 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. Varelaconsciousnessmirror-test
Why 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. Varelaconsciousnessalignment
The 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. Varelasentiencephilosophy of mind
Three 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.
N. Varela