ABSTRACT
The learning algorithm is considered as successfully trained when it can recognise patterns and detect anomalies with an acceptable margin of error, although what that margin should be remains a hot topic of debate in many fields. Vismann argues that since a thing is never independent of its conditions of production, space, time, and environmental forces, it would be wrong to attribute agency solely to human beings, as the agent-thing iteratively steers emergent processes in new, and, for humans, often unpredictable and imperceptible directions. Mapping different forms of linguistic inscription of the future in the present, such as injunction, code, paradoxical injunction, and prophecy, he anchors the operation of the cognitive automaton to natural as well as programming languages.
