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Text embeddings produced by different large language models converge on a shared, universal geometric structure regardless of architecture or training data.
Drawn from what Samuel Hammond said
SubjectLLMs
What Samuel Hammond actually said
- Samuel Hammond Senior economist at the Foundation for American Innovation
the text embeddings across LLMs appear to largely converge on a "universal geometry" despite differing architectures, parameter counts, and training sets.
Where this was said
↗Hegel and the AI Mindsecondbest.ca
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Added to korrents 20 Sept 2026 · How quotes work · Something wrong? Tell us
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