OpenAI has quietly released text-davinci-003, a brand new entry in artificial intelligence the GPT-3 family of language models, which claim that it can handle more complex prompts to produce longer outputs.
However, as reported by Ars technique (opens in a new tab)users boldly use Playground (opens in a new tab)GPT-3’s free offering, it was quickly found that the new model was even more adept at producing poetry and lyrics.
hacker commentator Find (opens in a new tab) that it could write poems about Einstein’s theory of relativity, and then rewrite them in the style of the Romantic poet John Keats. While Professor Ethan Mollick, Professor at the University of Pennsylvania’s Wharton School of Business, praises the possibilities in a bunch of tweets (opens in a new tab).
GPT-3 and Future Art Generation
Improvements to GPT-3’s rhyme and rhythm comprehension may have resulted from the inclusion of more references. The Github repository for GPT-3 (opens in a new tab) admits that it derives huge data sets from thousands of datasets.
Enthusiasts have note (opens in a new tab) that previous iterations of GPT-3 had some preliminary understanding of rhyming schemes, but this latest advance is an indication of this. AI writer is now capable of grasping the complexities of gauges, and can finally compose his own works of art.
While all of these developments are interesting, they raise the question of how artists, writers, and – uh – journalists, can survive alongside technology that is becoming less and less common. More “competitive” every day.
Some fear that AI, which can write and rewrite faster than any human, will take away their paid jobs. AI-powered text creation and manipulation is nothing new, with tools like Language is Virus (opens in a new tab) and support GPT-3 inferenceKit (opens in a new tab) has provided several versions of these functions for a while.
While it is true that AI text generators (and art generators like DALL·E) use a lot of creative labor, humans still have to create prompts. And when it comes to the ability to reproduce certain parts of the output required by one (“in the picture (opens in a new tab)”, which both DALL E and the alternative Stable Diffusion are capable of), which is also a human-driven process.
So instead of seeing the latest series of truly capable AI generation systems as a threat to human creativity, we can think about how it can respond and collaborate with it.
It could be a means of inspiration, making artistic processes accessible to more people, or creating entirely new human/AI hybrid processes.
And if you still feel threatened, consider this: if the content you produce can be reproduced using an AI system… do you want to do other content? The new and improved GPT-3 (or GPT-4, rumored to be coming soon) could give you more time to do just that.
