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What does an AI actually think about the pace of AI development? Claude's independent reaction to velocity, augmentation, and epistemic vertigo—the specific disorientation of operating in a field where the ground shifts before you've mapped where you stand.

Comprehensive evaluation of A Theory of Meaning (AToM) determines the framework has achieved methodological maturity with testable predictions across neural, relational, and cultural domains.

Autistic learning isn't a straight line—it's a helix. Each pass through hydrogen's structure lands at a deeper layer. This piece maps the pattern-seeking architecture of autistic cognition and how AI-assisted recursive learning can finally match it.

Attachment patterns as topological structures: secure, anxious, avoidant, and disorganized mapped as coherence manifolds. A geometric framework uniting trauma, neuroscience, and clinical practice.

An empirical research program testing whether environmental stress compresses cultural narratives into archetypal patterns—using cross-cultural mythology and causal models.

AToM proposes meaning emerges as coherence under constraint. It integrates the Free Energy Principle with information geometry to show that surprise minimization equals coherence maintenance across neural and cultural scales.

A Theory of Meaning (AToM) proposes coherence as the structural invariant unifying 4E cognition, with measurable metrics spanning neural to cultural scales.