OpenAI has quietly released text-davinci-003, a brand new entry in artificially intelligent family of GPT-3 language models, claiming that it can handle more complex prompts for longer results.
However, as reported by Ars Technica (opens in a new tab)enterprising users Playground (opens in a new tab)free GPT-3 offer, she quickly discovered that the new model is even more adept at creating poetry and lyrics.
Hacker messages commenting found (opens in a new tab) that he 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 Wharton Business School at the University of Pennsylvania, spoke lyrically about the opportunities a series of tweets (opens in a new tab).
GPT-3 graphics generation and the future
GPT-3’s improvement in understanding rhyme and time signature likely came from filling it with even more reference material. The Github repository for GPT-3 (opens in a new tab) admits to draw its huge corpus from thousands of datasets.
Enthusiasts have recorded (opens in a new tab) that previous iterations of GPT-3 had some vague awareness of rhyme schemes, but this latest step forward is a sign that AI writer he now has a complex notion of meter and can eventually compose his own artistic works.
While all of these developments are exciting, they raise the question of how human artists, writers, and – um – journalists can exist alongside technology that is becoming less and less of a “bleeding edge” with each passing day.
Some fear that artificial intelligence, capable of typing and retyping faster than any human, will take away their paid jobs. Generating and manipulating text with AI is nothing new, thanks to tools like Language is a virus (opens in a new tab) and powered by GPT-3 InferKit (opens in a new tab) offering some versions of these features for a while.
While it’s true that AI text generators (and graphics generators like DALL·E) take a lot of work out of creativity, people still need to create tooltips. As for the ability to regenerate certain parts of the output at the dictation of the person (“painting (opens in a new tab)which both DALL E and alternative stable diffusion are capable of) is also a human-driven process.
So instead of seeing the latest crop of really competent AI generation systems as a threat to human creativity, we could think about how it might adapt and work with it.
It can be a way to inspire, share art processes with more people, or create entirely new hybrid processes between human and AI.
And if you still feel threatened, consider this: if the content you create is being replicated by an AI system… wouldn’t you rather create something else? The new and improved GPT-3 (or GPT-4 that is supposedly on the horizon) may give you more time to do this.