The so-called «AI race» seems omnipresent and ever intensifying. The timescales of this «race», though, no longer seem to be solely about how quickly a model can be developed and trained, when training data was created, or how much time elapses between prompt and output and, in the case of AI agents, between action and reaction. What becomes increasingly central is «entextualization time»: how quickly semiotic processes of any kind are inserted into new contexts of human or machine knowledge production and signification.

In the presentation, entextualization time is not only examined as a key dynamic of competition in times of commercial AI, the notion moreover appears as a critical lens through which to problematise respective models of culture and AI themselves.

More information, the full programme, and the link to the livestream can be found under: https://www.biblhertz.it/events/45218/2200