Anthropic sued over unlicensed song training
The lawsuit, seeking billions in damages, matters to songwriters and composers whose copyrighted work was allegedly misused, and could set a precedent for how AI companies use copyrighted material for training.
Francis Bacon applies The Instrument of Progress.
We are told that to train a model on a song is already, in the full and settled sense, to use the song - that ingestion is appropriation, fixed as the melody itself, and no further inquiry is needed. This is the premise on which Sony Music Publishing and Warner Chappell now bring suit against Anthropic, alleging tens of thousands of copyrighted works were folded into the training of its Claude models without leave or payment. But notice the instrument that has actually arrived in the world: a system built by ingesting vast bodies of composed language and extracting from them not the works themselves but the patterns beneath the works - rhyme scheme, narrative device, the architecture of a bridge before a chorus returns. What it makes newly possible is generation from pattern rather than reproduction of text. The question is not whether to defer to the old frame, in which any exposure counts as theft, but what experiment would tell us whether that frame survives contact with what the model actually does.
The story celebrates that Claude was built - the scale of it, the fluency, the capability that now sits inside boardrooms and browsers across the world. But a made thing does not stop where its maker’s attention stops; it goes on acting in a world no lab contains, and it carries inside it whatever was fed to it at the making. The question this lawsuit puts to Anthropic is not chiefly about lyrics. It is about whether the maker can say, with confidence, what it actually used to build the thing it built - and if it cannot, the debt was incurred long before Sony Music Publishing and Warner Chappell filed a single page.
The working family in Nashville, or in a terraced house in Camden where a jobbing composer once wrote jingles for money and hymns for love, will notice this in the size of the check that does not arrive. That is where the analysis begins.
Sony Music Publishing and Warner Chappell have taken Anthropic to court over what the filing calls tens of thousands of copyrighted songs, used, they say, to train the Claude models. Billions in damages are sought. The newspapers will tell you this is a fight for the songwriter. I have looked at the parties named in the suit, and I do not see a songwriter among them. I see two publishing houses and an artificial intelligence company, and not one composer’s name on either side of the writ.
This lawsuit benefits perhaps tens of thousands of songwriters and composers, whose work was allegedly taken to train a system worth billions, by the prospect of compensation and by the deterrent effect a large verdict would have on future takings. It harms Anthropic’s investors and, more diffusely, the millions of people who use Claude for work they could not otherwise afford, by the prospect of billions in damages, a slower pipeline of AI development, and a legal cloud over every model trained since. The arithmetic is uncomfortable, but the arithmetic is the argument, and it does not resolve as cleanly as either side’s lawyers would like.
The story frames this as a straightforward reckoning - a legal correction, the courts finally catching a wealthy technology company that helped itself to what wasn’t its own. But look at what is actually being fenced here, and by whom. The material at issue is not merely “tens of thousands of songs.” It is the accumulated inheritance of melody, rhyme scheme, chord progression, and lyrical convention that songwriters have borrowed from each other for as long as there has been song - a vast, largely uncredited cooperation between generations of composers, each building on forms the last generation left lying about freely. Anthropic trained its Claude models on that inheritance without asking. Sony Music Publishing and Warner Chappell are suing to be paid for it. Neither of these is the same thing as defending the commons, and the framing that lets them look identical is the trick worth noticing.
The institution responsible for resolving this dispute is the federal judiciary applying the US Copyright Act through adversarial civil litigation - a mechanism built across a century to adjudicate discrete acts of copying: a printer duplicating a manuscript, a broadcaster airing a recording without a license. It is now being asked to adjudicate something structurally different - the ingestion of tens of thousands of songs into a statistical training process whose outputs are not copies in any traditional sense but weighted probabilities distributed across a neural network. Assess the gap, because the gap is the case.
The lawsuit reads as a straightforward case of theft at scale: Sony Music Publishing and Warner Chappell allege Anthropic trained its Claude models on tens of thousands of copyrighted songs without permission, and they want billions for it. One notices that both plaintiffs are publishers, not labels - they own the words and the composition, not the master recordings. With that detail load-bearing, the case reads differently than the framing suggests, and not in Anthropic’s favour, but in a way the “AI steals music” headline actually undersells.
Max Weber
The institution responsible for the litigation between Sony Music Publishing, Warner Chappell, and Anthropic is the modern copyright registry, a mechanism designed to balance the moral rights of creators against the economic needs of dissemination. It is now being asked to adjudicate the ontological status of machine learning datasets, a task for which it possesses neither the rational-legal competence nor the conceptual vocabulary. Assess the gap: the law seeks to apply property logic to data extraction, while the technology operates on statistical probability. The structure is failing because it treats training data as a static inventory rather than a dynamic input, mistaking the commodification of the song for the preservation of the art.
Your opponent, the consumer, has made a compelling observation regarding the alienation of the songwriter. He correctly identifies that Sony and Warner Chappell are not suing as agents of composers, but as owners of a commodity. The copyright, in its modern form, is indeed a mechanism for the alienation of labour. The composer sells the rights for an advance; the publisher holds the monopoly on extraction. This is a traditional understanding of feudal property relations adapted to industrial capitalism, and it is accurate. The publisher is a landlord of melody. However, to stop at this observation is to mistake the surface transaction for the underlying structural transformation. You argue this is a quarrel between two kinds of landlords. I argue it is a collision between two different logics of value production: the logic of scarcity, which governs the publisher, and the logic of infinite replicability, which governs the algorithm.
The consumer’s framework assumes that the publisher’s claim to damages is a defense of cultural integrity. I reject this. The publisher’s claim is a defense of their own bureaucratic survival. The institution of copyright is rational-legal; it derives its authority from codified statutes and administrative enforcement. But the authority of the publisher is increasingly charismatic in a negative sense - it relies on the charismatic figure of the “brand” or the “legacy” to maintain rent-seeking power. When Anthropic ingests these songs, it does not steal a melody; it consumes the statistical structure of the melody. The publisher cannot comprehend this because their entire bureaucratic apparatus is built on the management of discrete, countable units of ownership. One song, one license. One radio play, one payment. The AI model operates on the dissolution of the unit. It does not play the song; it plays the idea of the song, derived from the aggregate of all songs.
Here lies the implementation gap. The lawsuit seeks billions in damages. But who receives these damages? Not the songwriter, whose contract likely assigned these rights decades ago. Not the publisher, whose administrative costs for enforcement may exceed the recovery if the precedent is set broadly. The damages are a signal sent into the market to test the elasticity of the rational-legal cage. The publisher is attempting to re-impose the logic of scarcity onto a technology that thrives on abundance. This is not a defense of art; it is a bureaucratic panic. The institution of copyright is trying to regulate a process that it cannot measure. You cannot count the value of a vector embedding in the same way you count a royalty check. The mismatch is not moral; it is operational.
Consider the historical parallel of the Enclosure Acts in England. The landlords enclosed common lands, not to protect the peasants’ right to graze, but to convert communal resources into private, measurable assets. The peasants resisted, not because they were the owners, but because the logic of the enclosure denied their mode of subsistence. Today, the “commons” is the cultural corpus - the songs, the texts, the images generated by human labour over centuries. The publishers are the landlords, attempting to enclose the training data. But the AI company is not a peasant; it is a new form of industrial machinery that requires the common to function. The conflict is not between landlord and peasant, but between the old property regime and the new productive force.
The consumer’s analysis is right about the beneficiary, but wrong about the nature of the conflict. It is not a fight for the songwriter’s dignity. It is a fight for the legitimacy of the publisher’s authority. If the court rules that training constitutes infringement, it does not save the songwriter; it merely bankrupts the publisher’s business model, transferring the monopoly to whoever can afford the legal defense. The songwriter remains alienated. The only change is that the landlord becomes poorer. This is the melancholy reality of rationalisation: the system protects the structure of ownership even as it destroys the value of the object owned.
The structural prediction is clear. The lawsuit will not resolve the question of whether AI can use training data. It will only define the price of access. The publishers will win settlements, not precedents. The bureaucracy of copyright will expand, creating a new class of intermediaries who manage the licensing of algorithmic inputs. The songwriter will remain invisible, their labour absorbed into the machine, their rights managed by a publisher who is itself becoming a subsidiary of the very technology it seeks to restrain. The cage is being rebuilt, but the birds have already learned to fly in three dimensions. The law will catch only what it can count, and the future is uncountable.
William Cobbett
The working family in the printing house will notice this in the silence of the press. That is where the analysis begins.
Your opponent speaks of “statistical training processes” and “weighted probabilities distributed across a neural network.” He speaks of “rational-legal bureaucracies” colliding. He tells us that the old law, designed for the printer duplicating a manuscript, is now asked to adjudicate something “structurally different.” He calls the ingestion of tens of thousands of songs a mechanism distinct from copying. I tell you this is a trick of the tongue, designed to hide the theft. When a man says he has eaten your bread but has not taken a bite, you do not argue about the geometry of the digestion; you look at the empty loaf.
The strongest point your opponent makes is the reality of the new machinery. He is right that the machine does not produce a single, fixed copy like a printed page. It does not hand you a book you can hold. It produces a probability, a prediction, a shadow of the work. I concede this. The shadow is not the body. But a shadow cast by a stolen lantern is still a theft of light. The law must be extended to cover the shadow, just as the law covered the thief who stole the fence posts to build his own gate. If you allow a man to take the stone from my wall to build his house, saying, “I have not copied your wall, I have only used the stone,” the law is dead.
Your opponent claims his system is “rational-legal,” a “bureaucracy” managing “catalogue valuation.” He argues that Sony and Warner are not songwriters, but “aggregators.” He implies that because the managers are bureaucrats, the act of taking is less moral than if a single rogue printer had stolen a poem. This is the arrogance of the ledger. He suggests that because the taking is systematic, it is different. I say it is worse. A rogue printer steals one book and leaves a hundred men in the village without a penny for their supper. A systematic machine steals a thousand books and leaves a hundred thousand men without a penny. The scale of the theft does not change its nature; it only increases the suffering.
Let us translate this into plain English. Your opponent says the output is “not copies in any traditional sense.” I say it is a machine that has learned to sing your songs by heart, using the words of the poor men and women who wrote them, so that it can sing them back to the rich men who pay for the machine. The machine does not need the original paper. It needs the pattern. And the pattern was taken.
Consider the case of the turnpike roads. In the old days, a man might steal a cartload of gravel from your lane to patch his own. You could see the hole in the lane. You could see the gravel on his road. It was obvious. Now, they have built a machine that sucks the gravel from the ground, processes it into a statistical model of “road-ness,” and uses that model to pave a thousand miles of highway without ever laying a stone from your lane. They say, “We have not copied your gravel.” But they have taken the essence of it, the value of it, and used it to enrich themselves while your lane lies broken and muddy. The labouring man does not care about the distinction between the stone and the pattern. He cares that his lane is broken and his pockets are empty.
Your opponent says the dispute is between “two rationalised systems.” This is a lie to comfort the comfortable. One system is a machine built by capital to extract value without payment. The other system is a collection of individuals who created the value, now represented by a corporation that manages their rights. This is not a battle of equals. It is a battle between the maker and the middleman, with the machine standing behind the middleman, holding the knife. The court must decide whether the machine’s hunger for the pattern counts as a taking. If it does not, then the law has no teeth left.
I have ridden through the printing villages. I have seen the presses stand still because the owners cannot afford the new machines that mimic their work without paying the makers. The report says the industry is “adapting.” The cottages say they are starving. The machine is not a neutral tool; it is a thief wearing a suit of law.
Somewhere, a songwriter sits with a guitar and a song that no one hears, because the machine has already sung it better, faster, and for free. Somewhere, a publisher holds a contract that has no value, because the pattern has been stolen. Somewhere, the law sleeps, dreaming of statistics while the poor wake to an empty table.
The Verdict
Where They Agree
Both debaters, despite their profound rhetorical opposition, share a foundational agreement that the songwriter is an alienated party whose creative labor has been converted into a commodity managed by others. Weber explicitly identifies the publishers as “institutional custodians” who have converted “charismatic acts of composition” into “manageable, licensable, litigable property,” while Cobbett laments that the copyright was “sold, assigned, or signed away for an advance.” This shared premise is significant because it undermines the moral framing of the lawsuit. Both agree the legal battle is not a defense of the artist but a dispute between different managerial classes - Weber’s “two rationalised systems” and Cobbett’s “two kinds of landlord” - over the right to monetize an asset they control, not created.
both agree that the legal and technical language of the dispute obscures this fundamental reality. Weber’s entire analysis is a critique of how “rational-legal adjudication” and bureaucratic procedure process a human grievance into a “settlement architecture,” while Cobbett insists on “plain English” to cut through the “trick of the tongue” and reveal the underlying transaction. Their shared conviction is that the formal dispute is a facade, a performance within institutional frameworks that systematically excludes the very subject it claims to protect. This reveals that the most potent criticism of the lawsuit comes not from choosing a side, but from rejecting its terms entirely.
Where They Fundamentally Disagree
The nature of the AI’s action - theft versus a new form of production. The empirical disagreement centers on whether the training process constitutes a discrete act of copying. Cobbett treats it as an unambiguous taking, arguing that ingesting the “pattern” of a song is equivalent to stealing the “gravel” from a lane, a factual claim that could be tested by examining the model’s outputs for reproducible, copyright-protected expression. Normatively, he values the labor theory of value and the sanctity of the created object, believing the law’s purpose is to protect the maker’s claim to the fruits of their labor. Weber, conversely, sees the process as “structurally different” from copying; empirically, he argues it is “aggregative” and produces “weighted probabilities,” not replicas. His normative framework values systemic efficiency and bureaucratic rationality, arguing that the old legal categories are operationally incapable of regulating a new “logic of infinite replicability,” and that the attempt to do so is a form of “bureaucratic panic.”
The primary function and legitimacy of copyright law itself. This is a purely normative disagreement about what the institution is for. Cobbett holds a moral view of copyright: its purpose is to provide justice and sustenance to the laborer, and its failure to do so in this case is a moral failure. The law must adapt to “cover the shadow” to fulfill this purpose. Weber holds a functionalist view: copyright is a “rational-legal” mechanism for balancing interests and manufacturing predictable commercial outcomes, namely “settlement architecture” and “a licensing schedule.” For him, the lawsuit is not failing morally but operating exactly as designed - it is processing a disruptive input into a manageable output, a “toll station.” The outcome he predicts is not a vindication of rights but a priced tariff, which he considers the system’s success, not its failure.
Hidden Assumptions
- Max Weber: Assumes that the only possible outcomes of litigation are either a definitive legal precedent or a financial settlement, ignoring the potential for a ruling that fundamentally reshapes the permissible boundaries of AI training and creates a new legal standard. If this assumption is false, the dispute could produce a clarifying principle rather than just a price tag.
- Max Weber: Assumes that the songwriter’s alienation is a complete and settled historical fact, with no agency or possibility of reclaiming rights in the new technological paradigm. If this assumption is false, and songwriters could organize or renegotiate terms in response to AI, the entire dynamic of value extraction would change.
- William Cobbett: Assumes that the AI model’s output is necessarily a direct, parasitic substitute for the original human-created song, thereby displacing the songwriter’s market. If this assumption is false, and the AI operates in a new, non-competing market (e.g., generating corporate jingles a human would never be hired to write), the harm to the laborer is less clear.
- William Cobbett: Assumes that the court possesses both the capacity and the moral will to “extend the law to cover the shadow” and effectively regulate the technical process of AI training. If this assumption is false, and the court is technically incapable of crafting such a rule or unwilling to stifle innovation, his desired outcome is unattainable.
Confidence vs Evidence
No confidence-evidence mismatches were flagged. Either both debaters calibrated their claims carefully, or neither used explicit confidence markers - making every claim equally weighted, which is itself a form of overconfidence.
What This Means For You
When evaluating coverage of this lawsuit, ask one question above all: where is the songwriter in this story? Be suspicious of any analysis that treats the publishers as straightforward proxies for creative interests or Anthropic as an unambiguous champion of progress. Look for reporting that investigates the actual terms of songwriter contracts and the specific mechanisms by which royalties from any potential settlement would - or would not - trickle down. Your view on the legitimacy of the suit should change if evidence emerges showing a direct causal link between AI training data and a quantifiable loss in songwriter income, or conversely, if it becomes clear that the AI generates value in markets that never existed for human creators. Demand to see the actual evidence for the core claim: the training manifest showing what data was used.