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LLMs can now retrieve memories like humans, using a fast familiarity check or a deliberate recollection process, leading to better personalization without overwhelming the model with irrelevant context.
LLMs don't just have values, they mix them up, letting morality bleed into grammar and economics in ways that deviate from human norms.
Gradient Networks offer a universal, data-efficient, and physically consistent way to model synchronous machines, outperforming lookup tables and standard ML models in accuracy, extrapolation, and smoothness.
