Via Wikimedia CommonsMusicNewsMusic / NewsListen to a fake Nirvana song created using artificial intelligenceYouTuber Funk Turkey generated the three-minute track, ‘Smother’, using characteristic tropes of the legendary bandShareLink copied ✔️June 19, 2020June 19, 2020TextBrit Dawson A YouTuber has used artificial intelligence to create a fake Nirvana song. The final result is a three-minute track called “Smother”, which is… kind of a banger? User Funk Turkey is behind the creation, which follows his other AI tracks in the style of AC/DC (cleverly renamed AI/DC), Red Hot Chili Peppers (AKA Red Bot Chili Peppers), and Nickelback (or: Nickelbot). Discussing “Smother” in the track’s description, Funk Turkey explains that he used lyrics.rip to “scrape the Genius Lyrics database” before writing the song’s actual lyrics using a Markov Chain. He added: “All music/vocals performed, mixed, and mastered by me, in my kitchen, on a sparkly red cheap Stratocaster, a crappy mic, and an old copy of ProTools.” Referencing the fact that he programmed the drums, the YouTuber said: “I know Dave Grohl hates computer drums but it’s the best thing I got, so… sorry Dave. I still love you.” The lyrics to “Smother” include lines like, “I could eat your heart-shaped box for food”, “In the pines where did you smother me”, and the ever-catchy “Hey, wait! I got a mosquito!” Listen to the track below. Expand your creative community and connect with 15,000 creatives from around the world.READ MORE10 great albums you may have missed in the last three monthsZukovstheworld on the UK Ug scene: ‘It’s modern pop music’Lenovo & IntelInternet artist Osean is all for blending art and technologyThe only tracks you need to hear from December 202511 alt Christmas anthems for the miserable and brokenhearted Last Days: The opera exploring the myth of Kurt CobainHow hip-hop is shaping the fight for Taiwan’s futureNew York indie band Boyish: ‘Fuck the TERFs and fuck Elon Musk’The 5 best Travis Scott tracks... according to his mumTheodora answers the dA-Zed quizDHLSigrid’s guide to NorwayThe 30 best K-pop tracks of 2025