"Eat This, AI!"
How a Masked Quebec Duo Reveals What It Means to Be Human in the Age of Synthetic Music
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My YouTube algorithm has recently taken me down yet another unexpected rabbit hole. I had been working on a video for my YouTube channel responding to Rick Beato’s argument that the current AI data center buildout mirrors the recording studio buildout of the late 1990s. In researching for that video I came across Beato’s analysis of the experimental duo Angine de Poitrine, which he posted to his over five million subscribers. I couldn’t believe what I saw. It prompted me to set aside the video project temporarily and write this essay instead, because what Angine de Poitrine represents — and what people’s reaction to them shows — strikes at the heart of a question this newsletter has been circling for months: what does it mean to create, and to be human, when machines can approximate so much of what we do?
If you haven’t yet encountered Angine de Poitrine, here is what you need to know. They are a duo from Saguenay, Quebec — a guitarist known as Khn and a drummer known as Klek — who perform in oversized papier-mâché masks and black-and-white polka-dot costumes that cover every inch of exposed skin. They communicate on stage only in a made-up language. Khn plays a custom double-necked guitar-bass fitted with twice the standard number of frets, allowing him to perform in quarter-tone tuning, twenty-four notes per octave instead of the twelve we are accustomed to in Western music. He layers this with a complex array of loop pedals while Klek drives the rhythmic foundation beneath him. Their self-described genre, if you can call it that, is “mantra-rock dada pythago-cubiste.”
In February 2026, a recording of their performance at the Trans Musicales festival in Rennes, France, was posted to KEXP’s YouTube channel. It has since accumulated more than three million views, spawning hundreds of reaction videos and filling Reddit threads with listeners trying to make sense of what they had just witnessed. Some of the most upvoted comments on the original video distill the range of public response: “Absolutely insane usage of free will,” and — more telling for our purposes — “This is the only way we can win the battle against AI” as well as “Eat this, AI!” These comments capture something extremely profound, and it is worth unpacking.
The flood no one can hear coming
To understand why a masked duo playing microtonal math rock has become a focal point for anxieties about artificial intelligence, we need to reckon with the scale of what is happening in generative audio. The numbers are sobering.
In November 2025, Deezer published data showing that approximately 50,000 fully AI-generated tracks were being uploaded to its platform every day. This represented a 400% increase from January of that year, when the company first began tracking synthetic content using its proprietary detection tools. Those 50,000 daily tracks accounted for roughly 34% of all new music delivered to the service. To put that in perspective: more than one in three new songs arriving on a major streaming platform were created entirely by machines.
The financial infrastructure behind this surge is substantial. According to reports from Market.us and Goldman Sachs, the AI music sector reached a valuation of approximately $6.65 billion in 2025, with projections for tenfold growth over the following decade. Generative AI music users made up about 10% of all music creators by that year, with the number of paying users doubling in a single year. Meanwhile, the acquisition of traditional, skill-based music software experienced consecutive annual declines in 2024 and 2025.
Perhaps most critically, the fidelity of generative models has crossed the threshold of casual human discernment. The landmark study commissioned by Deezer and conducted by Ipsos encompassed 9,000 participants across eight countries, including the United States, Canada, the UK, France, Germany, and Japan. When asked to listen to tracks and determine which were fully AI-generated, 97% of respondents failed to identify the synthetic music. Fifty-two percent reported feeling uncomfortable when they learned they could not tell the difference.
These figures describe a landscape in which the sheer volume of machine-produced music is overwhelming distribution networks, and the perceptual gap between human and synthetic creation is effectively closing for most listeners. The implications for working musicians are obvious and grim. The implications for what we value in art are more subtle and perhaps more important.
What the machines cannot do
This is where Angine de Poitrine enters the conversation, and where the YouTube comments “This is the only way we can win the battle against AI” and “Eat this, AI!” become genuinely illuminating rather than merely reactive.
Consider what Khn and Klek have accomplished over the past two decades. They have been playing together since they were thirteen years old. Their current project emerged in 2019, when a friend managing a local venue had a slot to fill. Having already performed at the same venue that week under a different project, they invented the costumes on the spot so no one would recognize them. What began as a joke became an identity, one that allowed them to separate their creative personas from their private lives while committing fully to a distinctive artistic vision.
The musicianship itself is formidable. As Klek told Noize Magazine, what Khn accomplishes on stage is technically extraordinary: managing two different necks, each with twice the standard number of notes, while simultaneously operating a loop pedal to build layered compositions in real time, all while performing barefoot with painted skin, seeing only through narrow slits in a papier-mâché mask. Their influences range from Turkish psychedelic music of the 1970s to Indian classical traditions to progressive rock architects like King Crimson. The resulting sound occupies a space that no genre label adequately describes, which is precisely the point.
Here is what strikes me most. Every element of Angine de Poitrine’s work represents a deliberate choice to move toward difficulty, toward strangeness, and toward the kind of creative risk that generative AI is structurally incapable of taking.
