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Low-precision matrix multiplication, even when repaired for accuracy, can break LLM prefix invariance and alter downstream task performance, necessitating a new certification approach.
A single shared intervention in the query-key channel can stabilize low-precision transformer training, eliminating the need for individual fault repairs.
Search efficiency can be as critical as outcome quality in autonomous research, with the novel fluid search method outperforming traditional algorithms in budget allocation.
