In the quest for a true “Digital Twin,” the bottleneck is not data storage—it is resonance.
Large Language Models (LLMs) are fundamentally trained on a single objective: to minimize surprisal (or cross-entropy loss) across a massive corpus of human text. By learning to predict the most likely next token …
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