Lens – A Summary of Insights into the Neural Genome of LLMs
TL;DR: This work inaugurates the science of Neural Genomics–a first-principles framework to trace, diagnose, and govern the latent semantic genome of large foundation models. By viewing models not merely as transformers of tokens but as carriers of epistemic nDNA, we chart a new ontology for understanding artificial cognition.
Semantic Cartography of LLMs
Across 15 foundation models, latent spectra reveal not just size or accuracy--but shape, tension, and conceptual scaffolding.
nDNA turns black-box scaling into white-box semantics.
Culture Leaves a Latent Trace
Cultural fine-tuning reshapes latent manifolds--sometimes subtly, sometimes tectonically.
Multilingualism isn't just fairness--it is geometry.
Alignment is a Steering Force
Alignment manifests as directional belief fields in latent space.
Models don't just act aligned--they can believe aligned. Or fake it.
Distillation Bottlenecks Semantic Wealth
Distilled students mimic performance but flatten internal structure.
Like cloning without a soul--efficiency, but at epistemic cost.
Offspring Inherit or Emerge
Neural merging yields more than the sum of its parts--sometimes fusions harmonize, sometimes they fracture.
Inheritance becomes topology.
Collapse is a Spectral Disease
Degenerative training regimes leave signatures: torsion fades, curvature flattens, beliefs vanish.
Model death is measurable before it manifests.
From Drift to DNA Forensics
Latent geometry carries lineage.
With nDNA, we trace origin, ideology, and inherited flaws--not just model ID aka behavior but ancestral fingerprint.
Hybrid Vigor or Epistemic Chimera?
Cultural recombination reveals nonlinear emergence.
Fusion may create the future--or resurrect the past in latent form.
Outlook: Just as molecular biology revealed that life was written in base pairs, Neural Genomics reveals that intelligence is encoded in geometry. The path forward is not merely to train faster–but to train with traceability, inherit with intention, and align with understanding. This work is not an end–it is the first map of a latent genome we are only beginning to comprehend.