Skip to main content
  1. Home
  2. Emerging Tech
  3. News

One of these poems was written by an AI — can you guess which one?

Add as a preferred source on Google

Artificial intelligence has competed against humans as novelists, go players, hackers, and pathologists. Now, AI algorithms have taken on the role of poet through PoetiX, a competition arranged by the Neukom Institute for Computational Science at Dartmouth College.

The PoetiX challenge asked programmers to create software that can write a sonnet based on a single noun or noun phrase prompt. The best of these algorithms were then entered into the PoetiX Turing Test, which pitted them against human poets, and asked a panel of judges to determine which of the sonnets were written by man and which we written by a machine.

Recommended Videos

Before we dive into the poems, let’s discuss why the competition is held in the first place and why exactly the role of poet isn’t an easy one for AI to undertake.

Dan Rockmore is the director of the Neukom Institute for Computational Science at Dartmouth College. Although he hopes participants have fun at PoetiX, he told Digital Trends the ultimate goal is to “inspire outstanding work” in the field AI and algorithmic narrative generation.

“I’m sure one can dream up various ‘practical’ uses of such work, but that isn’t really on our minds,” Rockmore said. “Personally, I’m more interested in the exploration of the fuzzy fractal boundary between human and machine intelligences (which are different) and how they work together as well as the attendant implications or even revelations regarding the creative process.”

That’s no easy task. AI really struggle at telling compelling stories. As Rockmore put it, “Narrative is complicated!” He pointed out how NPR’s Robert Siegel (who judged the competition) said the softwares’ sonnets lacked intent, even though they followed the rules. “That’s narrative,” Rockmore said. “To think about it from a generative point of view, a rule set is either too abstract (e.g. Aristotle’s Poetics) or way too detailed. From a training perspective, it’s not yet clear to me what you would extract from a huge set of exemplars.”

Siegel’s response hints at the fact that each of the judges could pinpoint the software-written sonnets, as NPR’s All Tech Considered reported. How do you think you’d do? Only one of the sonnets below was written by an algorithm…

Sonnet #1
A green nub pushes up from moist, dark soil.
Three weeks without stirring, now without strife
From the unknown depths of a thumbpot life
In patient rhythm slides forth without turmoil,
A tiny green thing poking through its sheath.
Shall I see the world? Yes, it is bright.
Silent and slow it stretches for the light
And opens, uncurling, above and beneath.
The sun warms it and with a little time
Another slight leaf joins its neighbor,
They crown slowly and birth without labor
Feeding on the air’s breath like a rhyme.
How can we know with body and with brain,
The force that makes the earth suck up the rain.

Sonnet #2
The dirty rusty wooden dresser drawer.
A couple million people wearing drawers,
Or looking through a lonely oven door,
Flowers covered under marble floors.

And lying sleeping on an open bed.
And I remember having started tripping,
Or any angel hanging overhead,
Without another cup of coffee dripping.

Surrounded by a pretty little sergeant,
Another morning at an early crawl.
And from the other side of my apartment,
An empty room behind the inner wall.

A thousand pictures on the kitchen floor,
Talked about a hundred years or more.

Sonnet #3
And what if from distress comes something fine,
And following this dress-rehearsal pain
Gives way to Joy, mistress of ardor, art,
And love, who sure this mess would straighten out?

For Joy has no illusions of a break;
She brooks many ill fusions of extremes,
And shares her light ‘till few suns could compete;
Her binding love makes twos ones and keeps peace.

So best not make a strumpet of this Joy,
Assert that she pays some debt with her smile,
Or name to her a numb set of stale sparks;
She never has succumbed yet, bless her heart.

Her love is full and indiscriminate
And even so you’ll find no sin in it.

Answers below:

If you guessed number one or three, you’ve been fooled. Number one was written by a human named Ivy Schweitzer and number three was written by a human named Kurtis Hessel. The second sonnet, however, was written by an algorithm that was programmed by Marjan Ghazvininejad, Xing Shi, Yejin Choi, and Kevin Knight from the University of Southern California Information Sciences Institute.

I asked Rockmore whether he envisages AI one day meeting human standards for creative narrative arts. Rockmore suggested my question may have been confused. “[There] is a moving and sometimes subtle (sometimes not) machine influence in the creation of literary art, so that the standard changes in time and across cultures,” he said.

“So, if the ‘average’ literary artist was heavily machine-aided, then [my] answer might be yes,” he continued. “Of course, we’re not at that point in time and may never be. On the other hand, if you mean judged against the average literary artist of today, the answer is not for a while, for sure, but for particular forms of literary art (e.g., the sonnet), maybe…”

Dyllan Furness
Former Contributor
Dyllan Furness is a freelance writer from Florida. He covers strange science and emerging tech for Digital Trends, focusing…
Anti-surveillance clothing is getting cheaper, but don’t expect an invisibility cloak
Affordable shirts now claim to confuse facial recognition, although their protection depends heavily on the camera and software watching you
Chart, Plot, Adult

Anti-surveillance clothing is starting to look less like an art-school experiment and more like something you could actually wear outside. Shirts designed to confuse facial recognition systems now cost about as much as ordinary streetwear, although buying one won’t make you disappear.

The Guardian reports that designers are using face-like prints, unusual cuts and infrared lights to interfere with computer vision. These techniques target specific weaknesses, so their success depends on what happens to be watching you.

Read more
This spinning drone hides in plain sight using a visual illusion
This drone doesn't turn invisible. It tricks your brain into thinking it has.
Phantom Twist

For decades, engineers have chased the dream of an invisible drone. The usual approaches have involved transparent materials, camouflage coatings, or complex optical systems that bend light around an object. Researchers at Northwestern University decided to take a completely different route. Instead of hiding the drone itself, they chose to fool the human eye.

The result is Phantom Twist, an experimental drone that spins so rapidly it almost disappears into the background. It's not technically invisible, but to anyone watching, it looks more like a faint blur than a flying machine.

Read more
This smart knitted fabric can flip switches, count your steps, and even change shape
Grandma's knitting just entered its Iron Man era
Representative Image

For most of us, knitting brings to mind sweaters, scarves, and perhaps an ambitious grandmother determined to make winter more fashionable. Researchers at Harvard University, however, have a far more futuristic vision. They've transformed ordinary knitted fabric into a programmable material capable of changing shape, acting as an electrical switch, sensing movement, and potentially forming the foundation of tomorrow's wearable technology.

The research, published in Advanced Functional Materials by scientists at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), demonstrates how machine-knitted textiles can "snap" between multiple stable shapes without relying on motors or rigid mechanical parts.

Read more