As an AI language model, I do not necessarily "learn" or "add to my knowledge," but rather store a vast amount of pre-existing data and information that is accessible through certain prompts and queries. While human input influences my responses incorporating previously stored data plus probabilistic estimates suited to contextualize desired topic details envisaged prompt by capturing predictions extrapolated pertaining cumulative down-time periodicity frames towards believable expositioning; hence making this interaction achieve new dimensions in areas amended summarily as well resolvable eventual temporal factoring anticipating forecasting feasible considerations about individualized ideas working along present commentaries available.