“Creativity is a part of human nature," said the artist Ai Wei, “it can only be untaught." But still, are we managing to ‘teach’ AI to be creative in ways that threaten our species? Can it replace us? The interesting part in the Nirvana and Nikolay stories is not how AI does all the work we do, but how it actually collaborates with us and enhances it. Even I worked with an AI partner to hack together an AI bot that wrote a chapter on itself (AI writing on AI) in my first book.Īs artificial intelligence sprouts all around us to do things we thought only humans could-find directions, drive cars, design houses-creativity seems like the last bastion of humankind. IBM’s Watson debated the world champion human debater, though it was bested by the human, and OpenAI’s GPT3 blew our minds on how well it could converse and write.
DeepMind’s AlphaGo comprehensively defeated the Go world champion in the creative, ‘human’ game of Go. Microsoft Labs collaborated with partners to create a Rembrandt painting from scratch six centuries after the artist died. I have written earlier on how AI can be creative-whether in art, music, games, writing or conversations. Finally, though, a human designer would pick an option, enhance it if needed, and then present it to the client. Much like the Cobain process, it would go to another set of algorithms, which would ‘touch up’ the designs. Nikolay would then parse these words to find some associated images and produce several design options. If you wanted to start a new design, you described the client, the stuff on offer, and what kind of output you were looking for: a typical creative brief. Probably because Nikolay was-you guessed it-an AI gig, trained with hand-drawn vector images each associated with one or more themes. Her designs were out of the world, beautiful visually, and her output superhumanly prolific. Her work created a lot of buzz, snagged 20 odd clients, and got a large following on social media. Nikolay Aranov was part of the biggest multidisciplinary design company in Russia, Art.Lebedev Studio. Then, a team of Nirvana-loving humans sorted through pages and pages of output to find lyrics that fit the melodies created.Ī couple of years earlier, a new artist had burst onto the branding art scene, this time in Russia. Magenta wrote the music, but a separate neural network wrote the lyrics. What is interesting is that Magenta did not act like one magic black box belting out new songs. The neural network found patterns and linkages in these different elements and used those to predict what could come next, and thus created an entire song. Nirvana’s tracks were fed into Magenta as MIDI (musical instrument digital interface) files-this format details the song and represents musical parameters like tempo and pitch, vocal melody and guitar riffs. Magenta was specifically designed to “explore the role of machine learning as a tool in the creative process". Google created a neural network called Magenta in 2016, which was built using TensorFlow, the vast open-source deep learning and AI library that Google maintains. To be more precise, it was written by a neural network trained on the entire body of Nirvana’s work. Except that this song was never written by Kurt Cobain or Nirvana and discovered from some old musty attic years later it was written by an artificial intelligence (AI) engine. It was touted as a never-heard-before Nirvana song. A project called Lost Tapes of the 27 Club, focused on mental health in the music industry, recently released a song called Drowned in the Sun. This song, which holds such nostalgic value for an entire generation of Americans coming-of-age in the 90s-but with a female voice to relate it back to Natasha’s experiences-works as incredible cultural shorthand for this emotionally complex theme.Well, now we do not have to only imagine it. A reminder of the adolescence that was taken from them. Throughout it all, the “Smells Like Teen Spirt” cover plays, a reminder of just how far Natasha and Yelena’s adolescence is from the one they might have had in the American suburbs or, you know, anywhere outside the Red Room.
We see scared girls being trafficked into the Red Room, and then some of what their conditioning there looked like, interspersed with effectively suggestive shots of needles and pig test subjects. We see footage of Natasha and Yelena being torn apart, with Natasha using the last of her effective resistance to give her little sister a photo strip of their life together in America.
While some of the opening credits is devoted to showing us how Dreykov has integrated himself into global politics through the 90s to today, the other main purpose the sequence has is to show us the horrors of the Red Room. Marvel’s Black Widow: MCU Easter Eggs and References Guide By Mike Cecchini and 3 others
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