I wrote what I thought was a useful corrective to never-ending deluge of AI hype (originally I wrote “bullshit” but they didn’t want to print that in the Globe for some reason). The vast majority of the apps built on top of GPTx and other LLMs have one purpose: to create marketing copy/emails/product reviews/blogs… also known as spam.
I also spoke on Edmonton’s CHED with Chelsea Bird about hype and how people can be more critical of the claims of Big Tech regarding AI’s super-human powers.
Looking forward to joining other social scientists and linguists at the University of Siegen in May to present:
“What Python Can’t Do: Language Ideologies in Programming Courses for Natural Language Processing”
[snip]:
Many of the applications that are used in machine learning and natural language processing (NLP) are written in a computer language called Python. Python has become one of the fastest growing programming languages and knowledge of it can be considered a valuable form of social capital (Bourdieu 1977). The structure of Python, explicitly introduced as a language itself, reinforces a language ideology that sees language as a semantic, referential, and universal system (Jablonski n.d.; Lovrenčic et al. 2009; Danova 2017). This contrasts with the position taken by most linguistic anthropologists that sees language as primarily pragmatic, indexical, and highly localized in its ability to convey meaning (Silverstein 1976; 1979; Gal and Irvine 2019; Nakassis 2018; Eckert 2008). “
I seek to answer the question ‘why does every generation of adults think their teenagers are the worst?’ Spoiler alert: it’s a process of semiotic drift.
“…from the perspective of linguistic anthropology, novel-writing cars and chatbots designed for “natural language processing” simply do not command language at all. Instead, they perform a small subset of language competency—a fact that is often forgotten when the technology media focuses on sensational claims of AI sentience. Language, as it lives and breathes, is far more complicated.”
