Content of this article Making the case for prior identification of domains/contexts in lifelong learning systems. Showing that detecting discrepancies between expected macro state and actual macro state allows lifelong learning systems to infer domains with the promise of achieving arbitrarily high accuracy with very large models. Getting away with having to detect domain…