Google recently published research on MusicLM, a system that creates music in any genre with a text description. As TechCrunch notes, projects like Google's AudioML and OpenAI's Jukebox have tackled the subject. However, MusicLM's model and vast training database (280,000 hours of music) help it produce music with surprising variety and depth. The AI can not only combine genres and instruments, but write tracks using abstract concepts that are normally difficult for computers to grasp. If you want a hybrid of dance music and reggaeton with a "spacey, otherworldly" tune that evokes a "sense of wonder and awe," MusicLM can make it happen.
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A University of Michigan student is one of the world's foremost "speedcubers," a person capable of quickly solving a Rubik's Cube. He also is an accomplished violinist. Stanley Chapel says the two fields go hand in hand.
Artificial intelligence (AI) is suddenly the darling of the tech world, thanks to ChatGPT, an AI chatbot that can do things such as carry on conversations and write essays and articles with what some people believe is human-like skill. In its first five days, more than a million people signed up to try it. The New York Times hails its "brilliance and weirdness" and says it inspires both awe and fear. For all the glitz and hype surrounding ChatGPT, what it's doing now are essentially stunts -- a way to get as much attention as possible. The future of AI isn't in writing articles about Beyoncé in the style of Charles Dickens, or any of the other oddball things people use ChatGPT for. Instead, AI will be primarily a business tool, reaping billions of dollars for companies that use it for tasks like improving internet searches, writing software code, discovering and fixing inefficiencies in a company's business, and extracting useful, actionable information from massive amounts of data.
In my previous post, I discussed using ChatGPT, the large language model from OpenAI , as a writing partner for various types of prose. In this article, I will show how the system can be used to help compose music by generating chords from text prompts. After a brief overview of ChatGPT, I will show the results of my experiments in writing music with the new system in the following styles: jazz, country rock, and reggae. I'll finish by giving my general observations on using the model for composing music with some next steps for future exploration. Note that the third and final installment of this series will be about using the system to create picture books with help from Midjourney. ChatGPT is the latest language model from OpenAI that was designed and trained to interact with people via a chat user interface. GTP stands for Generative Pre-trained Transformer, where a transformer is a type of AI model. You can read a complete background on the system in this series' first article.
The artificial intelligence bot which Nick Cave accused of making a'grotesque mockery' of his work has hit back at the musician by insisting it'tries its best to generate text that is coherent, creative and conveys a message'. Cave left a scathing review of ChatGPT's rendition of his work, describing the lyrics after fans asked it to replicate his style of music. He's one of many musicians fans are asking the bot to mimic, to see if it can capture the magic of songs legitimately produced by the artist. ChatGPT collates huge swathes of data which allows it to predict phrases and words that are likely to be used in an artist's repertoire. When provided a prompt, such as asking it to create song lyrics for a certain artist, it sweeps the database for all known previous works by the artist and collates sentences using phrases, terms and themes frequently used in association with the musician.
Nick Cave, the Bad Seeds frontman whose songs are tinged with a healthy dose of death, forlorn love, and religion, is no fan of ChatGPT's lyrical ambitions. The popular AI bot has drawn both praise and concern for its ability to generate conversational and nuanced text responses in simple, clean sentences. Since its release in November by the artificial intelligence lab OpenAI, ChatGPT has written everything from sitcom scripts to literature essays to, now, rather convincing rock songs. This has left people worried about the ramifications for industries across the creative spectrum, and one of those people is Cave himself. In his latest The Red Hand Files newsletter, Cave took on the subject of AI generated music.
As of October, singers, songwriters and music makers are uploading 100,000 new songs every day to streaming services like Spotify. That is too much music. There's no reality, alternate or otherwise, wherein someone could conceivably listen to all that even in a thousand lifetimes. Whether you're into Japanese noise, Russian hardcore, Senegalese afro-house, Swedish doom metal, or Bay Area hip hop, the sheer scale of available listening options is paralyzing. It's a monumental problem that data scientist Glenn McDonald is working to solve.
The year 2022 was jam-packed with advances in artificial intelligence, from the release of image generators like DALL-E 2 and text generators like Cicero to a flurry of developments in the self-driving car industry. And then, on November 30, OpenAI released ChatGPT, arguably the smartest, funniest, most humanlike chatbot to date. In the weeks since, ChatGPT has become an internet sensation. If you've spent any time on social media recently, you've probably seen screenshots of it describing Karl Marx's theory of surplus value in the style of a Taylor Swift song or explaining how to remove a sandwich from a VCR in the style of the King James Bible. There are hundreds of examples like that.
The image-generation technology capturing the attention of entrepreneurs and artists is built on decades of advances in AI. In particular, about 10 years ago researchers found that feeding algorithms called neural networks huge numbers of images with associated labels enabled them to label previously unseen images with high accuracy. This is how Apple Photos and Google Photos can automatically organize pictures of pets taken on a smartphone. Image-making AI tools flip this image-labeling trick on its head. Algorithms that have digested huge numbers of images and associated text from the web can generate new images from text provided by a user.