A Polyphonic Conception of AI Understanding

arXiv:2609.36079 · cs.AI, cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.AI, cs.CL

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Transformer — 20× in this paper · explained in 2 episodes
• Interpretability — 11× in this paper · explained in 15 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• International Conference on Machine Learning — 6× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Degeneracy — 4× in this paper · explained in 3 episodes
• Actor — 3× in this paper · explained in 3 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Scaffolding — 3× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Ontology — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Steering — 2× in this paper · explained in 2 episodes
• Transformer Architecture — 2× in this paper · explained in 2 episodes
• Accountability — 1× in this paper · explained in 2 episodes
• Activation Steering — 1× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Anisotropy — 1× in this paper · explained in 3 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Graceful Degradation — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• In International Conference on Learning Representations — 1× in this paper
• Pruning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Sparks of Artificial General Intelligence: Early experiments with GPT-4
• Going Whole Hog: A Philosophical Defense of AI Cognition
• A Model of Understanding in Deep Learning Systems
• The Unreasonable Ineffectiveness of the Deeper Layers
• Language Models Use Trigonometry to Do Addition
• Deep Learning: A Critical Appraisal
• Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
• Polyphonic Intelligence: Constraint-Based Emergence, Pluralistic Inference, and Non-Dominating Integration

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