By means of pilot experiments for the language pair German and Galician, this paper examines the concept of efficiency and intelligence in lexicography and artificial intelligence, AI. The aim of the experiments is to gain empirically and statistically based insights into the lexicographical text type,dictionary article, in the responses of ChatGPT 3.5, as well as into the lexicographical data on which this chatbot was trained. Both quantitative and qualitative methods are used for this purpose. The analysis is based on the evaluation of the outputs of several sessions with the same prompt in ChatGPT 3.5. On the one hand, the algorithmic performance of intelligent systems is evaluated in comparison with data from lexicographical works. On the other hand, the ChatGPT data supplied is analysed using specific text passages of the aforementioned lexicographical text type. The results of this study not only help to evaluate the efficiency of this chatbot regarding the creation of dictionary articles, but also to delve deeper into the concept of intelligence, the thought processes and the actions to be carried out in both disciplines.

The article presents some current observations (as of April 10, 2024) on the integration of AI-generated images within processes of media convergence. It draws on two different concepts of intermediality. Primary intermediality concepts are motivated by the object when a new type of technology develops the potential to become socially relevant as a media form and thus a socially, politically, or culturally important communicative factor. Due to their uncertain 'measurements' within the wider media ecology, however, the new, still potential media form appears hybrid. The "inter-" or "between-" of this initial intermediality moment thus refers to the questionable "site" and the questionable description of the potential media form between already existing technologies and cultural forms and their conceptual measurements. For secondary concepts of intermediality, in contrast, it can be assumed that the boundaries of media forms and their application have already been drawn and are reasonably undisputed. This then raises the question of intentional and staged references to AI imagery within other media forms and pictures. The article discusses indicators of both intermediality moments using current examples and controversies surrounding AI images. The thesis is that there can be no talk of a seamless 'integration' of AI images into the wider media landscape at the moment (within films, comic books, or video games, for example) - as one of countless other image production techniques - and that the medial 'site' of AI image circulation - at least where it is not a matter of deception, but rather their conscious use as AI images - especially in social media communication and in fan cultures, but with repercussions for the more general media ecology and image interpretation, insofar as the suspicion that an image could be AI-generated is now increasingly present as a "hermeneutics of suspicion".