This article argues that the algorithms known as neural nets underlie a new form of artificial intelligence that we call indexical AI. Contrasting with the once dominant symbolic AI, large-scale learning systems have become a semiotic infrastructure underlying global capitalism. Their achievements are based on a digital version of the sign-function index, which points rather than describes. As these algorithms spread to parse the increasingly heavy data volumes on platforms, it becomes harder to remain skeptical of their results. We call (...) social faith in these systems the naive iconic interpretation of AI and position their indexical function between heuristic symbol use and real intelligence, opening the black box to reveal semiotic function. (shrink)

This paper explores queer discourses produced by a group of very popular professional video game players on social media, with particular focus on the impact that this has on the language and interactions of the fan community. Three data sets have been incorporated into this study, allowing for analysis of the central data, as well as consideration of the production and investigation of the reception of the discourse contained within. These include 63 YouTube videos, a corpus of 217,916 comments on (...) these videos, and an interview with a gamer. While the majority of the discursive data in the YouTube videos features interactions between heterosexual males, the introduction of homosocial meaning and homosexual innuendo into videos gives the audience a unique opportunity to encounter, interpret, and experiment with queer discourse. It is found that the production of nonheteronormative discourses by prominent gamers online has contributed to the formation of a self-policing fan community that advocates acceptance and rejects bigotry. (shrink)