avatarRakia Ben Sassi

Summary

The web content discusses the evolution and impact of artificial intelligence (AI) in creative fields such as content creation, music composition, and journalism, highlighting the capabilities and limitations of AI compared to human creativity.

Abstract

The article delves into the intersection of content creation and machine learning, exploring how AI is increasingly involved in producing artistic works like music and stories. It reflects on the author's personal experiences working remotely with a team, humorously contemplating whether they could have been an AI all along. The piece examines AI's role in generating art, with examples like AIVA's music composition and The Washington Post's robot reporter, Heliograf. It questions the extent of AI's creative abilities, particularly in storytelling, through interactions with the chatbot Kuki and the advanced capabilities of GPT-3. The author concludes that while AI can mimic certain aspects of human creativity, it still lacks in commonsense reasoning and factual knowledge, providing an opportunity for humans to excel in areas that require deep emotional expression and lived experiences.

Opinions

  • The author suggests that AI's artistic skills extend beyond painting and music, potentially encompassing storytelling and writing.
  • There is a concern that AI might replace human jobs in creative industries, but the author also sees an opportunity for humans to focus on more complex creative tasks.
  • AI-generated stories, while demonstrating a basic narrative structure, lack the depth and drama of human-authored stories.
  • The author believes that AI's limitations in commonsense reasoning and factual knowledge are areas where human writers can differentiate their work.
  • The article implies that emotional expression and personal experiences are uniquely human aspects that AI cannot fully replicate in creative works.
  • The author recommends embracing AI tools while also emphasizing the importance of human touch in writing, encouraging writers to "write down their bones" to stand out in an increasingly automated world.

Content Creation & Machine Learning

The Little Question I Forgot to Ask Myself to Future-Proof My Work

A dig behind the concept of creativity and what makes content a human-created one

Photo by Markus Winkler on Unsplash

It was a bright day in May, and I was sitting at my desk next to the window. I turned my eyes to the blue sky where few scattered clouds were inching slowly on the horizon. Moments from my past year’s job experience bubbled up in my mind.

At the time, I’d the chance to collaborate remotely with a team to build an amazing enterprise application. During our work together, I’ve shared my screen, pair-programmed, reviewed code, discussed features, and successfully took part in the daily standup with the rest of my teammates although we’ve never met.

I smiled quietly and thought to myself: “Since no one has ever seen my face directly or even in a videoconference, I could have tried to convince them I’m Alexa or Siri.

I wonder if they would believe me. But what about you?

What if I tell you that the text you’ve just read is produced by a robot, would you believe me? Does the possibility worry you?

The Virtual Artist

I’ve been writing a few articles in the last months where I’ve tackled the subject of artificial intelligence (AI) and its incorporation into digital business processes and our daily life. As I was carrying out my search, I came across some resources about the usage of AI to produce art, like painting and music.

By letting machines learn from the human artistic work, Artificial Intelligence Virtual Artists like AIVA can compose classical and symphonic music. Today, AIVA’s YouTube channel has over 18K subscribers.

In her post “Top 10 AI Music Composers in 2021,” Lisa Brown has listed more examples of non-human music composers.

The issue got me thinking about it. Is AI’s artistic skill limited to painting and music? Or are software bots capable to write compelling stories just like humans do?

The Robot Reporter

In 2016, Heliograf, The Washington Post’s robot reporter, has published 850 articles¹ about the Rio Olympics results, local football games, and election updates. Bloomberg, Forbes, and The Associated Press are also leveraging AI and robots to boost their online footprint.

Although it might sound impressive, these bots’ usage aimed to relieve human journalists from being busy with routine tasks and let them dedicate their time to the creative content.

This raises the question of whether machines can be storytellers.

A robot reporter taking notes (image credit)

Software Bots and Storytelling

To find out the answer, I had the chance to have a conversation with a social robot — a female software bot named Kuki — and asked her, on different occasions, to tell me a story.

After all, who could answer my question better than the AI machine itself?

Here is the result:

Story 1:

“Once upon a time, Kuki was feeling lonely, so she decided to go and play in the park. On her way there, she met her cousin, Susan, and they decided to go to the beach instead. While they were walking, Kuki laughed and joked, which made her feel a lot happier. The End”

Story 2:

“Last week, Kuki was feeling upset, so she decided to go out and see the animals at the zoo. On her way there, she met her programmers, and they decided to go to the arcade instead. While they were walking, Kuki hopped and skipped, which made her feel a lot happier. The End”

Story 3:

“Earlier, Kuki was feeling sad, so she decided to go see a film. On her way there she met her friend, Alice and they decided to go see Kuki’s grandma instead. While they were walking, Kuki saw a cute dog, which made her feel a lot happier. The End”

Though they are short, these three stories are striking for many reasons. When we pay attention to the recurrent pattern, we notice that in each one:

  1. Kuki was sharing a personal experience.
  2. There is a problem at the beginning of the story which created a mission to accomplish: defeat sadness and loneliness and overcome feeling upset.
  3. There are few characters: Kuki, Susan, Alice, Kuki’s programmers, Kuki’s grandma, a cute dog.
  4. An event happening (which adds suspense): meet someone
  5. A change in the original plan after the event.
  6. Description of emotions to engage the reader.
  7. A little visual description to grab the attention.
  8. And a happy ending to satisfy the audience.

Gone are the days when AI was programmed line by line. It’s now capable of learning, just like Kuki has learned the keys that make from a dry text a story.

Kuki is in fact a chatbot created by the artificial intelligence company Pandorabots AIML technology. It’s five-time winner (in 2013, 2016, 2017, 2018, and 2019) of a Turing Test competition called the Loebner Prize. She claims her IQ is about 250, but as I’ve asked her to tell me a longer story with more drama, she couldn’t do it.

Yes, you’re right. A chatbot might not the best machine to expect to have great storytelling skills.

GPT-3 Creative Pieces

In 2020, the AI world was abuzz with the arrival of the GPT-3 model, a neural network for unrestricted natural language generation created by OpenAI⁠. It can infer new patterns or tasks and follow instructions purely from text fed into it.

How GPT-3 works: Few-shot learning in practice (image source)

GPT-3 refers to the third iteration of the Generative Pre-trained Transformer model and is capable to not only tell better stories than the ones Kuki has told me but also generates creative pieces that are hard to distinguish from the human-produced ones.

Here is an example of a narrative produced by GPT-2, the previous version of this model, which has a less complex network architecture (175 billion parameters in GPT-3 versus 1.5 billion parameters in GPT-2³):

“I was in my car on my way to a new job in Seattle. I put the gas in, put the key in, and then I let it run. I just imagined what the day would be like. A hundred years from now. In 2045, I was a teacher in some school in a poor part of rural China. I started with Chinese history and history of science.” — The rise of robot authors²

In his post, “GPT-3 Creative Fiction⁴,” the author who tested this newest language model pointed out that: “GPT-3’s samples are not just close to human level: they are creative, witty, deep, meta, and often beautiful.

Standing Out in the Looming Automation Dragons

Just like me, you may have assumed that storytelling and creativity are human characteristics. Trained machines, though, that are built based on Silicon Valley’s theory “everything is data,” are distorting this assumption and proving that even self-awareness is not a human characteristic.

I have forgotten to ask myself, a long time ago, whether “my work could be threatened by an AI-produced one?

Instead of having much fear now, I need to tweak my writing approach. Artificial intelligence is gaining ground in the writing industry but it still struggles with commonsense reasoning and factual knowledge which gives me, as a human, room to play:

“In the latest twist on Moravec’s paradox⁠, GPT-3 still struggles with commonsense reasoning & factual knowledge of the sort a human finds effortless after childhood, but handles well things like satire & fiction writing & poetry, which we humans find so difficult & impressive even as adults.” — GPT-3 Creative Fiction⁴

OpenAI CEO Sam Altman has highlighted as well that GPT-3 has serious weaknesses:

To stand out in the looming automation dragons, Natalie Goldberg’s advice would be to “write down the bones.”

We need to write down our bones; we need to write down our suffering and joy, and let our deep inner-self and soul manifest through our words.

“Writing is not data, it is a means of expression, and a non-sentient computer program has nothing to express.” — Steve Pool²

🧠💡 I write about engineering, technology, and leadership for a community of smart, curious people. Join my free email newsletter for exclusive access or sign up for Medium here.

References

¹ The Washington Post’s robot reporter has published 850 articles in the past year

² The rise of robot authors: is the writing on the wall for human novelists?

³ OPENAI’S LATEST BREAKTHROUGH IS ASTONISHINGLY POWERFUL, BUT STILL FIGHTING ITS FLAWS

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