In 2017 I decided to find out what would happen if I trained a neural net on 240 Christmas carols (collected by The Times of London and reader/neural net hobbyist Erik Svensson). Run, run Rudolph, run, run Rudolph, run, run Rudolph, run, run Rudolph, run, run Rudolph, run, run Rudolph, run, run Rudolph, run, run Rudolf the new born King. You can kind of understand where the confusion came from. But that was 2017, when I was training char-rnn from scratch on my laptop. Now in 2019 I have access to the much more powerful GPT-2, trained by OpenAI on 40GB of text from the internet.

Thankfully, it looks like we're not quite there yet. Colorado-based research scientist Janelle Shane has trained a neural network (a type of machine-learning algorithm) to write its own Christmas carols, and the results are…interesting. Shane trained the algorithm to imitate a set of 240 popular Christmas carols aggregated by the Times of London. The AI trained itself by continuously attempting to write carols, checking their accuracy against the carols in the dataset, and modifying its process accordingly. Here's an excerpt from one, which Shane posted on her blog: The story of the chimney seeSanta baby, and blood and joyous so world and joy and good will to seeSanta baby bore sweet Jesus ChristFa la la la la la la, la la la la la la la la.

Thankfully, it looks like we're not quite there yet. Colorado-based research scientist Janelle Shane has trained a neural network (a type of machine-learning algorithm) to write its own Christmas carols, and the results are…interesting. Shane trained the algorithm to imitate a set of 240 popular Christmas carols aggregated by the Times of London. The AI trained itself by continuously attempting to write carols, checking their accuracy against the carols in the dataset, and modifying its process accordingly. Here's an excerpt from one, which Shane posted on her blog: The story of the chimney seeSanta baby, and blood and joyous so world and joy and good will to seeSanta baby bore sweet Jesus ChristFa la la la la la la, la la la la la la la la.

Neural networks are a type of computer program that imitate the way that brains learn to solve problems. They're used for face recognition, self-driving cars, language translation, financial decisions, and more. I mainly use them to write humor. My process starts with a dataset - something that the neural network has to figure out how to imitate. Rather unfairly, I give it no instructions about whether it's trying to write knock-knock jokes or invent Halloween costumes or begin a novel.

Christmas carol songwriters should be relieved to hear that they can keep their jobs for a little while longer. It turns out that artificial intelligence hasn't quite mastered the art of their job. In a Dec. 21 entry on her personal AI blog, Janelle Shane, a research scientist in industry and machine-learning hobbyist in her spare time, chronicles her journey of trying to teach a neural network to generate Christmas lyrics. I trained a neural network to write Christmas carols and it got confused. In retrospect I should have seen this coming.

A neural network enthusiast has shared the hilarious results of an experiment to let an AI write Christmas carols. With mentions of reindeer, jingle bells, and even some'Fa la la la's', it may have gotten some things right – but, it's doubtful anyone will be singing these songs around the tree. The neural network, starting with no knowledge of what Christmas carols are, created songs filled with bizarre and nonsensical phrases, from'Hurry Christmas to you,' to'Santa baby, and Dancer, and Curry down.' With mentions of reindeer, jingle bells, and even some'Fa la la la's', it may have gotten some things right – but, it's doubtful anyone will be singing these songs around the tree. To train the neural network, Shane fed it roughly 240 carols, collected by the Times of London and reader Erik Svensson.

Elon Musk is terrified that artificial intelligence might spell the end of humanity. Thankfully, it looks like we're not quite there yet. Colorado-based research scientist Janelle Shane has trained a neural network (a type of machine-learning algorithm) to write its own Christmas carols, and the results are...interesting. Shane trained the algorithm to imitate a set of 240 popular Christmas carols aggregated by the Times of London. The AI trained itself by continuously attempting to write carols, checking their accuracy against the carols in the dataset, and modifying its process accordingly.