Isabelle Levent
@isabellelevent
Isabelle Levent
Now none of this is meant to say that I think programmers, artists and engineers have no responsibilities when it comes to the outputs of machine learning models. In fact, I think we bear responsibility for everything these models do. (I never, for example, attribute authorship to a program or a model. If I publish the results of a text generator,
... See moreAllison Parish • Language models can only write poetry
A much better way of thinking about them is as a technology that allows humans to access information from many other humans and use that information to make decisions.
Julien Crockett • How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
on metaphors for LLMs
We find that models learn just as fast with many prompts that are intentionally irrelevant or even pathologically misleading as they do with instructively “good” prompts. Further, such patterns hold even for models as large as 175 billion parameters (Brown et al., 2020) as well as the recently proposed instruction-tuned models which are trained on
... See moreAlbert Webson • Do Prompt-Based Models Really Understand the Meaning of their Prompts?
If I have an idea for a novel, but the computer writes most of it, is it still my story? This question will not be answered with numbers about how many words I or the computer wrote. It’s going to be answered culturally; it’s going to be a feeling we have about where authenticity or truth really lies.
Katy Gero • AI Reveals the Most Human Parts of Writing
How to Raise Your Artificial Intelligence: A Conversation With Alison Gopnik and Melanie Mitchell
Julien Crockettlareviewofbooks.org
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers
arxiv.org
SHUTTERSTOCK PARTNERS WITH OPENAI AND LEADS THE WAY TO BRING AI-GENERATED CONTENT TO ALL - Press and Media - Shutterstock
Shutterstockshutterstock.com
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