With the help of these systems, anyone can create something that would previously have been considered a remarkable work of art. In human-AI collaboration, the computer seems to have become more than a tool. Many who have made their first contact with current generative AIs see them as "creativity machines" while for others the term "machine creativity" remains an oxymoron. This article is about (the possibility of) creativity in computers within the current Machine Learning paradigm. It outlines some of the key concepts behind the technologies and the innovations that have contributed to this qualitative shift, with a focus on text-to-image systems. The nature of Artificial Creativity as such is discussed, as well as what this might mean for art. AI may become a responsible collaborator with elements of independent machine authorship in the artistic process.

Therefore, he was among the first to put OpenAI's novel "text-to-image" system DALL E 2 through rigorous testing for possible errors, potential dangers and also in view of its possibilities, before it was unleashed on humanity. From the very first images the system produced, it was clear that this was a milestone of epochal proportions, leaving its predecessors far behind. This is undoubtedly only a snapshot in an exponential, almost explosive development. Because this is where the human claim to sole representation of creativity comes under pressure. DALL E 2 is part of the most successful Large Language Model to date "GPT3" and therefore can draw on a large part of what has been published on the Internet as its "educational treasure".