When a model spits out a prediction, it isn’t just applying a fresh set of rules. It’s replaying, in compressed form, patterns it soaked up long before it ever faced a real task. That early phase—pre-training—is where the quiet, foundational education happens. The data it sees during this stage isn’t just fuel; it’s a curriculum, …
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Author:Terri Lane
The Hidden Curriculum: How Pre-Training Data Shapes Machine Behavior
Every machine that learns from text picks up a worldview. Not through explicit rules or careful programming, but by soaking in millions of documents—books, forum threads, news articles, and archived conversations. The pre-training corpus isn’t just fuel; it’s a teacher, a curator, and sometimes an unwitting censor. To understand why a system responds the way …
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The Hidden Curriculum: How Pre-Training Data Shapes Model Behavior
Every machine learning model starts out as a blank slate—a tangle of randomly initialized weights that knows nothing about the world. The shift from that blankness to a system that can recognize faces, translate between languages, or write a halfway coherent paragraph is driven almost entirely by one thing: the data it sees during pre-training. …
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The Hidden Curriculum: How Pre-Training Data Shapes What Machines Learn
Every model starts as a blank slate—randomly initialized weights that know nothing of syntax, semantics, or the quiet rhythms of human expression. What turns that empty architecture into something that can finish a sentence, translate a paragraph, or answer a tricky question is the data it consumes during pre-training. That corpus isn’t just fuel; it’s …
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The Silent Curriculum: How Pre-Training Data Shapes Model Behavior
Every model starts as an empty mathematical scaffold—pure potential, no instincts. What fills that scaffold, what teaches it to complete a sentence or conjure a plausible answer, is the data it consumes during pre-training. That initial torrent of text, code, and conversation doesn’t just deposit facts. It quietly instills tendencies, preferences, and blind spots. Aiko …
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