The readiness of generative models to memorize training data presents ethical and legal challenges but would be less significant if the primary function of generative models were not to share everything it knows at any user’s request. In fact, regardless of training data, model architecture, memorization, or fine-tuning, generative technology has one common goal: following user-specified instructions. It may not appeal to cost-conscious business leaders, nor does it explain the congenital vulnerability of generative models. In Generative Artificial Intelligence: More Than You Asked For, Clayton Pummill and I help decision-makers anticipate foreseeable risks created by the strange technological artifacts of generative technology. Generative Artificial Intelligence: MORE THAN YOU ASKED FOR is available for pre-order: https://a.co/d/b1TeFGY[1] Ptacek, Thomas H. [@tqbf].

Source: CNN July 19, 2023 13:01 UTC