Initial results of the Digital Consciousness Model

arXiv:2601.17060 · cs.CY, cs.AI · Submitted 2026-01-22 · Read on arXiv

cs.CY, cs.AI

Submitted: 2026-01-22

Updated: 2026-09-25

Code: https://github.com/ai-cognition-initiative/dcm-code

Terminology

• Digital Consciousness Model — 12× in this paper
• Global Workspace Theory — 11× in this paper
• Steering — 7× in this paper · explained in 2 episodes
• Core — 6× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Activation Steering — 5× in this paper · explained in 4 episodes
• Adaptation — 5× in this paper · explained in 1 episode
• Interpretability — 5× in this paper · explained in 15 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Metacognition — 3× in this paper · explained in 5 episodes
• alpha — 3× in this paper · explained in 1 episode
• Ablation — 2× in this paper · explained in 1 episode
• Abstraction — 2× in this paper · explained in 1 episode
• Adaptive Response — 2× in this paper · explained in 1 episode
• Modularity — 2× in this paper · explained in 9 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Sparsity — 2× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Drawing on Higher Order Thought — 1× in this paper
• Formal Methods — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Mechanistic interpretability — 1× in this paper · explained in 2 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
• Futures with Digital Minds: Expert Forecasts in 2025
• Could a Large Language Model be Conscious?
• Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?
• Taking AI Welfare Seriously
• The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience
• The Full Rights Dilemma for A.I. Systems of Debatable Personhood
• The Emotional Alignment Design Policy

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