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Journal Article
Poetics Today (2024) 45 (2): 317–324.
Published: 01 June 2024
... models (LLMs) with indifference. It doesn't matter what kind of writer or teacher you are. Any form of textual production that relies on repeated formal patterns and generic conventions—which is to say, most forms of textual production—is vulnerable, if not by the technology in its current state...
Journal Article
Poetics Today (2024) 45 (2): 215–222.
Published: 01 June 2024
... generative AI—large language models (LLMs) that can automatically generate human-like text—has been largely negative. Generative AI, with its astonishing deployment of natural language to interpret, reason, and fabulate, seems to automate something vital to the humanities. The initial integration of AI...
Journal Article
Poetics Today (2024) 45 (2): 275–281.
Published: 01 June 2024
... question. Can a large language model (LLM) “author” something? Well, yes, if you just mean make it or cause it to come into being. It does so in the same way a peanut butter sandwich machine “makes” (or “authors,” if you prefer) peanut butter sandwiches. But it's not exactly the same way—is it?—because...
Journal Article
Poetics Today (2024) 45 (2): 233–241.
Published: 01 June 2024
... language models (LLMs) have progressively demonstrated the ability to produce text in human-sounding ways, a clear emphasis, both inside and outside the classroom, has been placed on discerning “authenticity”: Did AI write this? Or did a human write this? In the process, one often loses sight of the other...
Journal Article
Poetics Today (2024) 45 (2): 189–195.
Published: 01 June 2024
...Nir Evron; Roi Tartakovsky Hoyt Long's essay takes on the topic of LLMs and translation studies. Like many of our contributors, he does not believe that the attempts to ignore the rapidly evolving AI-based translation technology is a viable strategy. Nor, however, should we buy...
Journal Article
Poetics Today (2024) 45 (2): 223–231.
Published: 01 June 2024
.... Yet for the sake of demystification, it must be stressed that, for the time being, LLMs are not modeling language; they are modeling texts. Once these models have been trained on similarly large datasets of spoken or signed human conversations, they could at that time be said to be modeling something...
Journal Article
Poetics Today (2024) 45 (2): 259–265.
Published: 01 June 2024
... students using the remarkable linguistic abilities of large language models (LLMs) to pass off artificial intelligence (AI) writing as their own work. Of particular concern is the college essay, widely used in the humanities to assess student comprehension of complex texts, as well as to enhance...
Journal Article
Poetics Today (2024) 45 (2): 291–299.
Published: 01 June 2024
.... But who are we connecting with, exactly? In this provocation, I reflect on the perceived connection between the reader of a literary text and that text's author. I do so in response to ongoing discussions about the proliferation of large language models (LLMs) used in artificial intelligence (AI) text...
Journal Article
Poetics Today (2024) 45 (2): 283–290.
Published: 01 June 2024
... of the condition of authorship after the emergence of large language models (LLMs). There are analogical relations between Foucault's and Barthes's arguments and generative AI, as in the contemporary reassertion of authorship as a property regime and in LLM output as a series of combinatorial tokens. However, our...
Journal Article
Poetics Today (2024) 45 (2): 251–258.
Published: 01 June 2024
..., hermeneutics, and interpretation by its close attention to the function of words in relationship to one another (Culler 2020 ). Large language models (LLMs) and generative artificial intelligence (AI) are, in a very real sense, the expression of a very expensive, computationally intensive form of applied...
Journal Article
Poetics Today (2024) 45 (2): 267–274.
Published: 01 June 2024
...Katherine Elkins There are fewer and fewer voices arguing that LLMs are nothing but stochastic parrots, but this minority includes preeminent scholars in the field, and several predate newcomers like myself. So why do we readers—if I may borrow the label for a moment—suspect LLMs may be doing...
Journal Article
Poetics Today (2024) 45 (2): 331–361.
Published: 01 June 2024
... the beginning. Although the technology underlying this large language model (LLM) has been around since 2017, 1 the discussion about the impact of artificial text on society, the workplace, and campuses around the world only really took off after the release of ChatGPT in November 2022. It was the first time...
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Journal Article
Poetics Today (2024) 45 (2): 197–205.
Published: 01 June 2024
... of structuralist and rhetorical narratology leads me to conclude that these texts are structures of signs rather than rhetorical actions for the following reasons. The large language model (LLM) underlying ChatGPT generates texts according to patterns derived from its database of other texts, and these new...
Journal Article
Poetics Today (2024) 45 (2): 309–316.
Published: 01 June 2024
..., and which “represent a loss of knowledge, actual and potential” (249, 237). The purpose of this shadow work is not to just throw sand in the gears, however. We must also be attentive to how LLMs are used and deployed for real-world translation, despite their faults, and how their particular affordances...
