Training-language dominance, not English inherent properties, determines brain-LLM alignment across English, Chinese, and French, with additional independent effects from typological distance concentrated in syntactic brain regions.
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LLMs exhibit higher perplexity on far-right and nationalist party texts than social-democratic ones, consistent across models and languages with correlation to translation metrics.
A science of AI requires theories of training dynamics to predict outcomes from early signals, intervene on trajectories, and design procedures that reliably produce desired capabilities, biases, robustness, and safety properties.
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Brain-LLM Alignment Tracks Training Data, Not Typology
Training-language dominance, not English inherent properties, determines brain-LLM alignment across English, Chinese, and French, with additional independent effects from typological distance concentrated in syntactic brain regions.
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Large Language Models are Perplexed by some Political Parties
LLMs exhibit higher perplexity on far-right and nationalist party texts than social-democratic ones, consistent across models and languages with correlation to translation metrics.
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Position: Don't Just "Fix it in Post": A Science of AI Must Study Training Dynamics
A science of AI requires theories of training dynamics to predict outcomes from early signals, intervene on trajectories, and design procedures that reliably produce desired capabilities, biases, robustness, and safety properties.