In November, the musician Grimes made a bold prediction. “I feel like we’re in the end of art, human art,” she said on Sean Carroll's Mindscape podcast. “Once there’s actually AGI (Artificial General Intelligence), they’re gonna be so much better at making art than us.” Her comments sparked a meltdown on social media. Artificial intelligence has already upended many blue collar jobs across various industries; the possibility that music, a deeply personal and subjective form, could also be optimized was enough to cause widespread alarm.

But there are many musicians who feel that the onset of AI won’t end human art, but spur a new golden era of creativity. Over the past several years, several prominent artists have worked with AI in order to push their music in new and unexpected directions. Meanwhile, a host of musicians and researchers across the world are developing tools to make AI more accessible to artists everywhere. While obstacles like copyright complications and other hurdles have yet to be worked out, musicians working with AI hope that the technology will become a democratizing force and an essential part of everyday musical creation.

Progress in AI music field has rapidly accelerated in the past few years, thanks in part to devoted research teams at universities, investments from major tech companies and machine learning conferences. But while the technology has come a long way, many say that we’re still far from an AI creating hit songs on its own. Perhaps in part due to these limitations, few straight-ahead pop songs are being created by AI. Instead, much more intriguing progress is being made in two seemingly diametrically opposed streams of music: the functional and the experimental.

Adapted from: https://time.com/5774723/ai-music/

Segundo o texto, vários artistas de destaque têm trabalhado com a inteligência artificial com o objetivo de