Listen to the creepiest Christmas song ever, courtesy of AI
Penning the perfect Christmas song is far from simple. Composing a catchy melody layered with heartwarming lyrics takes experience and great skill. But what happens when you ask an artificial intelligence to write a Christmas song? You get a haunting, confusing song that is sure to go viral.
According to Christopher Hassiotis for HowStuffWorks: "Researchers from the University of Toronto trained a recurrent neural network, a type of complex artificial intelligence (AI), to write a song inspired by an image of a Christmas tree.
In a paper under conference review, the authors explain how they taught the AI to compose tunes by feeding it 100 hours of online music. They also gave the program thousands of images with captions so that it could link specific words to visual patterns, then create lyrics and music when provided a picture."
About the Author
Alexis GajewskiAlexis Gajewski
Senior Content Strategist
Alexis Gajewski is a manufacturing writer and editor with nearly 20 years of experience covering the people, practices, and technologies that keep industrial facilities running. For more than a decade, she served as Senior Content Strategist for Plant Services, creating content for plant managers, engineers, and maintenance professionals on a variety of industrial topics.
During her tenure, Alexis worked to develop the brand’s digital strategy and helped launch and produce Great Question: A Manufacturing Podcast. She also created The Lighter Side of Manufacturing, a weekly blog that explored the inventive and sometimes humorous side of the industry.
Alexis co-founded Influential Women in Manufacturing, a recognition program that honored 49 women in its first two years, earned an industry award for Best Product Launch, and received a proclamation from Illinois Governor JB Pritzker and a commendation from U.S. Senator Tammy Duckworth.
She also led newsroom operations and development at a large media company where she set editorial standards, developed training curriculum, and helped support AI adoption for more than 150 editors across 80+ brands spanning manufacturing, industrial processing, automation, and more.
Additionally, Alexis works as a freelance writer and editor, and her areas of interest include continuous improvement, the skilled workforce, and the role of emerging technology on the plant floor.
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