Cybernetics and Technology in SocietyLanguage, Discourse, Communication Strategies
Abstract
In this paper, based on posthumanist theory and posthumanist linguistics, we discuss specific elaborations of the term interaction as found in linguistics and sociology, where interactivity, reciprocal awareness and agency are discussed as possible characteristics of human interaction. We problematise to what extent this is distinct from interaction between humans and machines. We bring these discussions in relation to illustrative observations on how users of ChatGPT report on their experiences with large language models, drawn from Reddit threads. We show that the concept of interaction is ‘under construction’, not only because we have new interactional partners but also because meaning-making is now intertwined with the changing and individually customised and at the same time collectivised media affordances of machine-learning technologies. Interaction is no longer perceived as typically taking place between two humans but as embedded in and distributed across time and space in large networks of speaking subjects, massive historical and ever-changing data sets, and algorithmic affordances.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
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Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
