Rough AI truth score
75/100
The brain is dynamically shaped by use, loss, and incoming information, and adult cross-modal plasticity is well supported. The book's broader engineering metaphor is useful but can flatten strong developmental constraints and differences between neural reweighting, compensation, and new capability.
Based on three central claims · medium-high confidence
Learning-induced and deprivation-induced changes occur from peripheral sensory structures through primary cortex and large-scale networks. The timescale and mechanism vary, but continuous experience-dependent adjustment is a well-supported organizing principle.
Sensory-substitution studies show that trained users can extract spatial or functional information through alternative channels, with measurable behavioral and cortical changes. Performance remains task- and device-specific, but the core capacity is real.
Plasticity operates within anatomical, molecular, energetic, and developmental constraints. Residual input can limit cross-modal recruitment, sensitive periods matter, and improved trained performance does not imply that any region can acquire any function at any age.
What this number means. It is an AI-generated first-pass judgment of three central factual or causal claims—not a rating, exhaustive fact-check, or human peer review. Claim credits are 100% for supported, 75% for mostly supported, 50% for mixed, and 25% for weak, then averaged and rounded. Lower confidence means the score should move more as better evidence arrives.
Method three-central-claims/0.1.0 · checked 2026-09-01 · 3/3 selected claims assessed · method and source audit