AINeutralarXiv – CS AI · 6h ago6/10
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WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds
Researchers demonstrate a critical limitation in machine learning predictors: while they succeed at identified quantities, they collapse on unidentified counterfactual couplings, failing to capture uncertainty in causal relationships. The team proposes a mathematical framework using positive semidefinite coupling kernels to represent and bound these cross-world dependencies that standard prediction cannot recover.