Kujulisetest
Kujulisetest is a hypothetical evaluation protocol used to benchmark the generalization and adaptability of AI systems across domains. It aims to measure how well a model can transfer knowledge from one domain to another and perform under limited data and computation, beyond standard static benchmarks.
The protocol typically combines multiple tasks drawn from distinct domains, requiring the model to demonstrate reasoning,
Origin and usage: The term has appeared in speculative discussions and some fiction and online forums about
Relation to other benchmarks: Kujulisetest is often discussed alongside cross-domain evaluation frameworks and generalization tests to