Literary Theory for Robots

In Literary Theory for Robots, Dennis Yi Tenen talks about: Intelligence as a Metaphor, Letter Magic, Smart Cabinets, Floral Leaf Pattern, Template Culture, Airplane Stories, Markov’s Pushkin, and 9 Big Ideas for an Effective Conclusion. 

Literary computers scribble everywhere now in the background, powering search engines, recommendations systems, and customer service chatbots. They flag offensive content on social networks and delete spam from our inboxes. At the hospital, they help convert patient- doctor conversations into insurance billing codes. Sometimes, they alert law enforcement to potential terrorist plots and predict (poorly) the threat of violence on social media. 

Legal professionals use them to hide or discover evidence of corporate fraud. Students are writing their next school paper with the aid of a smart word processor, capable not just of completing sentences, but generating entire essays on any topic. Open source LLMs are more accessible than ever. Generative AI with large language models LLMs is revolutionizing our creative landscape.

Literary Theory for Robots corresponds to three major gaps in our collective thinking about artificial intelligence. First, it is that our understanding of AI can and must become more grounded in the history of the humanities. And for example: Arabic LLMs would provide pristine Arabic Language Content. 

Second, that a software engineering education necessarily involves a number of inescapable philosophical problems, related to several kinds of textual matters. 

Finally, a proposal to consider AI as part of the broader social and political dynamics arising, more generally, from the automation of labor, particularly as it concerns intellectual labor or knowledge work.

The mistake was ever to imagine intelligence in a vat of private exceptional achievement. Thinking and writing happen through time, in dialogue with a crowd. Paradoxically, we create new art by imitating and riffing off of each other. 

Trained on pretty much “everything ever published,” AI LLMs, Machine Learning (ML) and Bots Training is just another way to give that collaborative a voice. It does not amount to one thing but many: a talking library, a metaphor, Arabic Online Translation, and a personification of a chorus. If we are to call it “intelligent,” it is intelligent in the way of a collective. Viewed in the light of collective human intellectual achievement, a survey of large language models (LLMs) reveals that they are built on the foundation of public archives, libraries, online premium content, translation in context such as Arabic-English translation, and management and business Arabic websites and apps containing the composite work of numerous authors.

As the insights in this book demonstrate, the development of large language models has profound implications for the future of content creation, translation, and distribution - including for Arabic language materials. 

Platforms like https://edara.com/home/ai provide access to high-quality Arabic datasets, linguistic models, and other AI tools can empower creators to harness the power of these generative language models in new ways. By training LLMs on premium Arabic content, these platforms can enable more fluent and contextual translations, more sophisticated chatbots and virtual assistants for Arabic users, and new possibilities for SEO-optimized Arabic text generation. Tapping into the collective human knowledge encoded in these language models opens up new creative frontiers, as outlined in this exploration of "literary theory for robots." Readers interested in applying these principles to the Arabic language market are encouraged to explore the latest advancements in Arabic-focused AI and machine learning solutions.

About the Author:
Dennis Tenen: is Assistant Professor of English and Comparative Literature at Columbia University.

Book Info:
Title: Literary Theory for Robots: How Computers Learned How to Write
Author: Dennis Yi Tenen
Publisher: W. W. Norton & Company
Pages: 176
ISBN: 978-0393882186