Isabelle Levent
@isabellelevent
Isabelle Levent
@isabellelevent
A couple participants found success using the chatbot as a convenient search engine alternative (KL, WT). KL wrote: “It’s kind of great to use the chat interface and treat LaMDA as a thesaurus, quote finder, and general research assistant.”
Like oil and land, data are a common that is commodified by private actors for profits. The commons being commodified is our essence as humans: our interactions with society at large.
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.


on metaphors for LLMs
For a computer to make a subtle combinational joke, never mind to assess its tastefulness, would require, first, a data-base with a richness comparable to ours, and, second, methods of link-making (and link-evaluating) comparable in subtlety with ours.
Maybe the creative work is now to figure out ways to nudge AIs into being weird and interesting rather than producing inane imitations of the most ordinary human writing
There are a couple reasons why Wordcraft may have struggled with style and voice... Another reason could have been limitations of the underlying model. LaMDA and other similar language models are trained to be most confident on the kind of text they see most often–typically internet data. However, professional creative writers are usually writing
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