“This AI will heat up any club”: Reggaetón and the Rise of the Cyborg Genre
This series listens to the political, gendered, queer(ed), racial engagements and class entanglements involved in proclaiming out loud: La-TIN-x. ChI-ca-NA. La-TI-ne. ChI-ca-n-@. Xi-can-x. Funded by an Andrew W. Mellon Foundation as part of the Crossing Latinidades Humanities Research Initiative, the Latinx Sound Cultures Studies Working Group critically considers the role of sound and listening in our formation as political subjects. Through both a comparative and cross-regional lens, we invite Latinx Sound Scholars to join us as we dialogue about our place within the larger fields of Chicanx/Latinx Studies and Sound Studies. We are delighted to publish our initial musings with Sounding Out!, a forum that has long prioritized sound from a queered, racial, working-class and “always-from-below” epistemological standpoint. —Ed. Dolores Inés Casillas
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Busco la colaboración universal donde todos los Benitos puedan llegar a ser Bad Bunny. –FlowGPT, TikTok
In November of 2023, the reggaetón song “DEMO #5: NostalgIA” went viral on various digital platforms, particularly TikTok. The track, posted by user FlowGPT, makes use of artificial intelligence (Inteligencia Artificial) to imitate the voices of Justin Bieber, Bad Bunny, and Daddy Yankee. The song begins with a melody reminiscent of Justin Bieber’s 2015 pop hit “Sorry.” Soon, reggaetón’s characteristic boom-ch-boom-chick drumbeat drops, and the voices of the three artists come together to form a carefully crafted, unprecedented crossover.
Bad Bunny’s catchy verse “sal que te paso a buscar” quickly inundated TikTok feeds as users began to post videos of themselves dancing or lip-syncing to the song. The song was not only very good but it also successfully replicated these artists– their voices, their style, their vibe. Soon, the song exited the bounds of the digital and began to be played in clubs across Latin America, marking a thought-provoking novelty in the usual repertoire of reggaetón hits. In line with the current anxieties around generative AI, the song quickly generated public controversy. Only a few weeks after its release, ‘nostalgIA’ was taken down from most digital platforms.
The mind behind FlowGPT is Chilean producer Maury Senpai, who in a series of TikTok responses explained his mission of creative democratization in a genre that has been historically exclusive of certain creators. In one video, FlowGPT encourages listeners to contemplate the potential of this “algorithm” to allow songs by lesser-known artists and producers to reach the ears of many listeners, by replicating the voices of well-known singers. Maury Senpai’s production process involved lyric writing, extensive study of the singers’ vocals, and the Kits.ai tool.
Therefore, contrary to FlowGPT’s robotic brand, ‘nostalgIA’ was the product of careful collaboration between human and machine– or, what Ross Cole calls “cyborg creativity.” This hybridization enmeshes the artist and the listener, allowing diverse creators their creative desires. Cyborg creativity, of course, is not an inherent result of GenAI’s advent. Instead, I argue that reggaetón has long been embedded in a tradition of musical imitation and a deep reliance on technological tools, which in turn challenges popular concerns about machine-human artistic collaboration.
Many creators worry that GenAI will co-opt a practice that for a long time has been regarded as strictly human. GenAI’s reliance on pre-existing data threatens to hide the labor of artists who contributed to the model’s output. We may also add the inherent biases present in training data. Pasquinelli and Joler propose that the question “Can AI be creative?” be reformulated as “Is machine learning able to create works that are not imitations of the past?” Machine learning models detect patterns and styles in training data and then generate “random improvisation” within this data. Therefore, GenAI tools are not autonomous creative actors but often operate with generous human intervention that trains, monitors, and disseminates the products of these models.
The inability to define GenAI tools as inherently creative on their own does not mean they can’t be valuable for artists seeking to experiment in their work. Hearkening back to Donna Haraway’s concept of the cyborg, Ross Cole argues that
Such [AI] music is in fact a species of hybrid creativity predicated on the enmeshing of people and computers (…) We might, then, begin to see AI not as a threat to subjective expression, but another facet of music’s inherent sociality.
Many authors agree that unoriginal content—works that are essentially reshufflings of existing material—cannot be considered legitimate art. However, an examination of the history of the reggaetón genre invites us to question this idea. In “From Música Negra to Reggaetón Latino,” Wayne Marshall explains how the genre emerged from simultaneous and mutually-reinforcing processes in Panamá, Puerto Rico, and New York, where artists brought together elements of dancehall, reggae, and American hip hop. Towards the turn of the millennium, the genre’s incorporation of diverse musical elements and the availability of digital tools for production favored its commercialization across Latin America and the United States.
The imitation of previous artists has been embedded in the fabric of reggaetón from a very early stage. Some of the earliest examples of reggaetón were in fact Spanish lyrics placed over Jamaican dancehall riddims— instrumental tracks with characteristic melodies. When Spanish-speaking artists began to draw from dancehall, they used these same riddims in their songs, and continue to do so today. A notable example of this pattern is the Bam Bam riddim, which is famously used in the song “Murder She Wrote” by Chaka Demus & Pliers (1992).
This riddim made its way into several reggaetón hits, such as “El Taxi” by Osmani García, Pitbull, and Sensato (2015).
We may also observe reggaetón’s tradition of imitation in frequent references to “old school” artists by the “new school,” through beat sampling, remixes, and features. We see this in Karol G’s recent hit “GATÚBELA,” where she collaborates with Maldy, former member of the iconic Plan B duo.
Reggaetón’s deeply rooted tradition of “tribute-paying” also ties into its differentiation from other genres. As the genre grew in commercial value, perhaps to avoid copyright issues, producers cut down on their direct references to dancehall and instead favored synthesized backings. Marshall quotes DJ El Niño in saying that around the mid-90s, people began to use the term reggaetón to refer to “original beats” that did not solely rely on riddims but also employed synthesizer and sequencer software. In particular, the program Fruity Loops, initially launched in 1997, with “preset” sounds and effects provided producers with a wider set of possibilities for sonic innovation in the genre.
The influence of technology on music does not stop at its production but also seeps into its socialization. Today, listeners increasingly engage with music through AI-generated content. Ironically, following the release of Bad Bunny’s latest album, listeners expressed their discontent through AI-generated memes of his voice. One of the most viral ones consisted of Bad Bunny’s voice singing “en el McDonald’s no venden donas.”
The clip, originally sung by user Don Pollo, was modified using AI to sound like Bad Bunny, and then combined with reggaetón beats and the Bam Bam riddim. Many users referred to this sound as a representation of the light-heartedness they saw lacking in the artist’s new album. While Un Verano Sin Ti (2022) stood out as an upbeat summer album that addressed social issues such as U.S. imperialism and machismo, Nadie Sabe lo que va a Pasar Mañana (2023) consisted mostly of tiraderas or disses against other artists and left some listeners disappointed. In a 2018 post for SO!, Michael S. O’Brien speaks of this sonic meme phenomenon, where a sound and its repetition come to encapsulate collective discontent.
Another notorious case of AI-generated covers targets recent phenomenon Young Miko. As one of the first openly queer artists to break into the urban Latin mainstream, Young Miko filled a long-standing gap in the genre—the need for lyrics sung by a woman to another woman. Her distinctive voice has also been used in viral AI covers of songs such as “La Jeepeta,” and “LALA,” originally sung by male artists. To map Young Miko’s voice over reggaetón songs that advance hypermasculinity– through either a love for Jeeps or not-so-subtle oral sex– represents a creative reclamation of desire where the agent is no longer a man, but a woman. Jay Jolles writes of TikTok’s modifications to music production, namely the prioritization of viral success. The case of AI-generated reggaetón covers demonstrates how catchy reinterpretations of an artist’s work can offer listeners a chance to influence the music they enjoy, allowing them to shape it to their own tastes.
Examining the history of musical imitation and digital innovation in reggaetón expands the bounds of artistry as defined by GenAI theorists. In the conventions of the TikTok platform, listeners have found a way to participate in the artistry of imitation that has long defined the genre. The case of FlowGPT, along with the overwhelmingly positive reception of “nostalgIA,” point towards a future where the boundaries between the listener and the artist are blurred, and where technology and digital spaces are the platforms that allow for an enhanced cyborg creativity to take place.
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Featured Image: Screenshot from ““en el McDonald’s no venden donas.” Taken by SO!
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Laurisa Sastoque is a Colombian scholar of digital humanities, history, and storytelling. She works as a Digital Preservation Training Officer at the University of Southampton, where she collaborates with the Digital Humanities Team to promote best practices in digital preservation across Galleries/Gardens, Libraries, Archives, and Museums (GLAM), and other sectors. She completed an MPhil in Digital Humanities from the University of Cambridge as a Gates Cambridge scholar. She holds a B.A. in History, Creative Writing, and Data Science (Minor) from Northwestern University.
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Ronca Realness: Voices that Sound the Sucia Body—Cloe Gentile Reyes
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“Caught a Vibe”: TikTok and The Sonic Germ of Viral Success
“When I wake up, I can’t even stay up/I slept through the day, fuck/I’m not getting younger,” laments Willow Smith of The Anxiety on “Meet Me at Our Spot,” a track released through MSFTSMusic and Roc Nation in March of 2020. Despite the song’s nature as a “sludgy alternative track with emo undertones that hits at the zeitgeist,” “Meet Me at Our Spot” received very little attention after its initial release and did not chart until the summer of 2021, when it went viral on TikTok as part of a dance trend. The short-form video app which exploded in popularity during the COVID-19 pandemic, catalyzed the track’s latent rise to success where it reached no. 21 on the US Billboard Hot 100, becoming Willow’s highest charting song since her 2010 hit, “Whip My Hair”.
The app currently known as TikTok began as Musical.ly, which was shuttered in 2017 and then rebranded in 2018. By March of 2021, the app boasted one billion worldwide monthly users, indicative of a growth rate of about 180%. This explosion was in many ways catalyzed by successive lockdowns during the first waves of the COVID-19 pandemic. Despite the relaxation and subsequent abandonment of COVID mitigation measures, the app has retained a large volume of its users, remaining one of the highest grossing apps in the iOS environment. TikTok’s viral success (both as noun and adjective) has worked to create a kind of vibe economy in which artists are now subject to producing a particular type of sound in order to be rendered legible to the pop charts.
For anyone who has yet to succumb to the TikTok trap, allow me to offer you a brief summary of how it functions. Upon opening it, you are instantly fed content. Devoid of any obvious internal operating logic, it is the media equivalent of drinking from a fire hose. Immersive and fast-paced, users vertically scroll through videos that take up their entire screen. Within five minutes of swiping, you can–if your algorithm is anything like mine–see: cute pet videos, protests against police brutality, HypeHouse dance trends, thirst traps, contemporary music, therapy tips, attractive men chopping wood, attractive women lifting weights, and anything else you can fathom. Since its shift from Musical.ly, the app has also been a staging ground for popular music hits such as Lil Nas X’s’ “Old Town Road”, Lizzo’s “Good As Hell”, and, recently, Harry Styles’ “As It Was.”
The app, which is the perfect–if chaotic–fusion of both radio and video is enmeshed in a wider media ecosystem where social networking and platform capitalism converge, and as a result, it seems that TikTok is changing the music industry in at least three distinct ways:
First, it affects our music consumption habits. After hearing a snippet of a song used for a TikTok, users are more likely to queue it up on their streaming platform of choice for another, more complete listen. Unlike those platforms, where algorithms work to feed a listener more of what they’ve already heard, TikTok feeds a listener new content. As a result, there’s no definitive likelihood that you’ve previously heard the track being used as a sound. Therefore, TikTok works the way that Spotify used to: as a mechanism for discovery.
Second, TikTok is changing the nature of the single. Rather than relying upon a label as the engine behind a song’s success, TikTok disseminates tracks–or sounds as they’re referred to in the app–widely, determining a song’s success or role as a debut within a series of clicks. Particularly during the pandemic, when musicians were unable to tour, TikTok’s relationship to the industry became even more salient. Artists sought new ways to share and promote their music, taking to TikTok to release singles, livestream concerts, and engage with fans. Moreover, Spotify’s increasingly capacious playlist archive began to boast a variety of tracklists with titles such as, “Best TikTok Songs 2019-2022”, “TikTok Songs You Can’t Get Out Of Your Head”, and “TikTok Songs that Are Actually Good” among others. The creation and maintenance of this feedback loop between TikTok and Spotify demonstrates not only the centrality of social media ecosystems as driving current popular music success, but also the way that these technologies work in harmony to promote, sustain, or suppress interest in a particular tune.
Most notoriously, the bridge of Olivia Rodrigo’s “drivers license”, went viral as a sound on TikTok in January 2021 and subsequently almost broke the internet. Critics have praised this 24-second section as the highlight of the song, underscoring Rodrigo’s pleading soprano vocals layered over moody, syncopated digital drums. Shortly after it was released, the song shattered Spotify’s record for single-day streams for a non-holiday song. New York Times writer Joe Coscarelli notes of Rodrigo’s success, “TikTok videos led to social media posts, which led to streams, which led to news articles , and back around again, generating an unbeatable feedback loop.”
And third, where songwriting was once oriented towards the creation of a narrative, TikTok’s influence has led artists to a songwriting practice that centers on producing a mood. For The New Yorker, Kyle Chayka argues that vibes are “a rebuke to the truism that people want narratives,” suggesting that the era of the vibe indicates a shift in online culture. He argues that what brings people online is the search for “moments of audiovisual eloquence,” not narrative. Thus, on the one hand, media have become more immersive in order to take us out of our daily preoccupations. On the other, media have taken on a distinct shape so that they can be engaged while doing something else. In other words, media have adapted to an environment wherein the dominant mode of consumption is keyed toward distraction via atmosphere.
Despite their relatively recent resurgence in contemporary discourse, vibes have a rich conceptual history in the United States. Once a shorthand for “vibration” endemic to West Coast hippie vernacular, “vibes” have now come to mean almost anything. In his work on machine learning and the novel form, Peli Grietzer theorizes the vibe by drawing on musician Ezra Koenig’s early aughts blog, “Internet Vibes.” Koenig writes, “A vibe turns out to be something like “local colour,” with a historical dimension. What gives a vibe “authenticity” is its ability to evoke–using a small number of disparate elements–a certain time, place, and milieu, a certain nexus of historic, geographic, and cultural forces.” In his work for Real Life, software engineer Ludwig Yeetgenstein defines the vibe as “something that’s difficult to pin down precisely in words but that’s evoked by a loose collection of ideas, concepts, and things that can be identified by intuition rather than logic.” Where Mitch Thereiau argues that the vibe might just merely be a vocabulary tick of the present moment, Robin James suggests that vibes are not only here to stay, but have in fact been known by many other names before. Black diasporic cultures, in particular, have long believed sound and its “vibrations had the power to produce new possibilities of social attunement and new modes of living,” as Gayle Wald’s “Soul Vibrations: Black Music and Black Freedom in Sound and Space,” attests (674). We might then consider TikTok a key method of dissemination for a maximalist, digital variant of something like Martin Heidegger’s concept of mood (stimmung), or Karen Tongson’s “remote intimacy.” The vibe is both indeterminate and multiple, a status to be achieved and the mood that produces it; vibes seek to promote and diffuse feelings through time and space.
Much current discourse around vibes insists that they interfere with, or even discourage academic interpretation. While some people are able to experience and identify the vibe—perform a vibe check, if you will—vibes defy traditional forms of academic analysis. As Vanessa Valdés points out, “In a post-Enlightenment world that places emphasis on logic and reason, there exists a demand that everything be explained, be made legible.” That the vibe works with a certain degree of strategic nebulousness might in fact be one of its greatest assets.
Vibes resist tidy classification and can thus be named across a variety of circumstances and conditions. Although we might think of the action of ‘vibing’ as embodied, and the term vibration quite literally refers to the physical properties of sound waves and their travel through various mediums, the vibe through which those actions are produced does not itself have to be material. Sometimes, they name a genre of feeling or energy: cursed vibes or cottagecore vibes. Sometimes, they function as a statement of identification: I vibe with that, or in the case of 2 Chainz’s 2016 hit, “it’s a vibe.” Sometimes, vibes are exchanged: you can give one, you can catch one, you can check one, So, while things like energy and mood—which are often taken as cognates for vibes—work to imagine, name, and evoke emotions, vibes are instead invitations.
Not only do vibes serve as a prompt for an attempt at articulating experience, they are also invitations to co-presently experience what seems inarticulable. By capturing patterns in media and culture in order to produce a coherent image/sound assemblage, the production of a vibe is predicated upon the ability to draw upon large swathes of visual, aural, and environmental data. Take for example, the story of Nathan Apodaca, known by his TikTok handle as: 420doggface208. After posting a video of himself listening to Fleetwood Mac’s “Dreams” while drinking cranberry juice and riding a longboard, Apodaca went viral, amassing something like 30 million views in mere hours. This subsequently sparked a trend in which TikTok users posted videos of themselves doing the same thing, using “Dreams” as the sound. According to Billboard, this sparked the largest ever streaming week for Fleetwood Mac’s 1977 hit with over 8.47 million streams. Of his overnight success, Apodaca says, “it’s just a video that everyone felt a vibe with.” To invoke a vibe is thus to make a particular atmosphere more comprehensible to someone else, producing a resonant effect that draws people together.
As both an extension and tool of culture, vibes are produced by and imbricated within broader social, political, and economic matrices. Recorded music has always been confined—for better and worse—to the technologies, formats, and mediums through which it has been produced for commercial sale. On a platform like TikTok, wherein the emphasis is on potentially quirky microsections of songs, artists are invited to key their work towards those parameters in order to maximize commercial success. Nowadays, pop songs are produced with an eye towards their ability to go viral, be remixed, re-released with a feature verse, meme’d, or included in a mashup. As such, when an artist ‘blows up’ on TikTok, it does not necessarily mean that the sound of the song is good (whatever that might mean). Rather, it might instead be the case that a hybrid assemblage of sound, performance, narrative, and image has coalesced successfully into an atmosphere or texture – that we recognize as a/the vibe – something that not only resonates but also sells well. As TikTok’s success continues to proliferate, the app is continually being developed in ways that make it an indispensable part of the popular music industry’s ecosystem. Whether by exposing users to new musical content through the circulation of sounds, or capitalizing upon the speed at which the app moves to brand a song a ‘single’ before it’s even released, TikTok leverages the vibe to get users to listen differently.
@jimmyfallon This one’s for you @420doggface208 #cranberrydreams#doggface208#dogfacechallenge♬ original sound – Jimmy Fallon
We might indeed consider vibes to be conceptual, affective algorithms created in the interstice between lived experience and new media. “Meet Me At Our Spot,” the track through which I’ve framed this article, is full of allusions to youth culture: drunk texts, anxiety over aging, and late-night drives on the 405. It is buoyed by a propulsive bass line that thumps with a restless energy and evokes a mood of escapism. Willow Smith’s intriguing timbre and the pleasing harmonies she achieves with Tyler Cole invite listeners to ride shotgun. For the two minutes and twenty-two seconds of the song, we are immersed within their world. In the final measures the pop of the snare recedes into the background and Tyler’s voice fades away. The vibe of the track – both sonically and thematically – is predicated on the experience of a few, fleeting moments. Willow leaves us with a final provocation, one that resonates with popular music’s current mode: “Caught a vibe, baby are you coming for the ride?”
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Featured Image: Screencap of Nathan Apodaca’s viral TikTok post, courtesy of SO! eds.
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Jay Jolles is a PhD candidate in American Studies at the College of William and Mary currently at work on a dissertation tentatively titled “Man, Music, and Machine: Audio Culture in a/the Digital Age.” He is an interdisciplinary scholar with interests in a wide range of fields including 20th and 21st century literature and culture, critical theory, comparative media studies, and musicology. Jay’s scholarly work has appeared in or is forthcoming from The Los Angeles Review of Books, U.S. Studies Online, and Comparative American Studies. His essays can be found in Per Contra, The Atticus Review, and Pidgeonholes, among others. Prior to his time at William and Mary, he was an adjunct professor of English at Drexel University and Rutgers University-Camden.
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REWIND! . . .If you liked this post, you may also dig:
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Evoking the Object: Physicality in the Digital Age of Music–-Primus Luta
“Music is not Bread: A Comment on the Economics of Podcasting”-Andreas Duus Pape
“Pushing Record: Labors of Love, and the iTunes Playlist”–Aaron Trammell
Critical bandwidths: hearing #metoo and the construction of a listening public on the web–Milena Droumeva
TiK ToK: Post-Crash Party Pop, Compulsory Presentism and the 2008 Financial Collapse—Dan DiPiero (The other “TikTok”! The people need to know!)
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