Isabelle Levent

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.

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.”

The fact that adding keywords like  Let’s Think Step By Step , adding “Greg Rutkowski”, prompt weights, and even negative prompting are still so enormously effective, is a sign that we are nowhere close to perfecting the “language” part of “large language models”.

The “story seeds” control allowed writers to experiment with using Wordcraft to generate ideas at the very beginning of the writing process. MT described the “story seeds” control as giving her “a place on my computer to go that looked like a blank page but did not behave as such.” E

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

A poem, I would say, is the site where “hollow and void” poetry is tactically deployed in a physical and social context, in order to achieve a particular effect. The poem unites poetry with an intention. So yes, a language model can indeed (and can only) write poetry, but only a person can write a poem.