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Teaching AI to think faster by understanding the invisible geometry inside transformer brains

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A transformer's "reasoning" creates hidden patterns in space — position and context tangled together like threads. Researchers found they could separate those threads, revealing the geometry underneath the black box.

This means we're moving closer to understanding *why* language models work, not just that they do — opening doors to making them faster, more efficient, and potentially more trustworthy.

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