One of the most underestimated failure modes in current LLM training is not only quality loss.
A note that future training ecologies need Learning Abstracts and Experience Artifacts to remain separate so models preserve origin and consequence.
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Distillation
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NVIDIA Didn't Pivot. NVIDIA Looked Ahead.
A case that NVIDIA's cheaper inference, distillation, and specialized models support horizontal cognition for persistent entities like Ester.