u/Unlikely-Durian2137

Why why why why why why why

Reddit fix these ads

Found this on some of my fl studio project files but idk something about this ambient tune hits different even though its like 30 seconds long and loops mostly. headphones recommended

OCEAN

SCROLLS

UNNEEDED CONTINUATION

AMBIGUITY

COHERENCE

LOST

WHERE

https://www.youtube.com/watch?v=DYMTQgv4ZKU

zebrw://qzcvy.tp/5ichMAi4G_8

The word "consent" has become the load-bearing beam of anti-AI argument. It appears in open letters, class actions, platform policies, artist bios, and roughly every third comment thread about generative models. It is a good word. It carries moral weight, it is intuitive, and it names something real. But the movement that has adopted it as a slogan has, in the process, done two things that deserve honest scrutiny from people who care about the underlying cause. First, it has stretched the concept past the point where it does reliable work. Second, and more seriously, it has applied the concept in one direction only, demanding consent from AI developers while showing striking indifference to the autonomy of the people who choose to use these tools. This essay argues that both problems are fixable, that fixing them would make the movement more effective rather than less, and that the failure to fix them is currently costing the movement allies, credibility, and policy wins it could otherwise have.

Start with what consent actually is. In moral philosophy it is sometimes described as a kind of moral magic: an act that converts an otherwise impermissible action into a permissible one. Entering a house without permission is trespass; entering with permission is a visit. Taking money without permission is theft; taking it with permission is a gift or an investment. Researchers examining data governance have noted that consent in personal data transactions was explicitly modeled on how consent functions in medical and sexual ethics, where the moral status of an act depends on whether the person on the receiving end agreed to it. That is the source of the word's power. It is also the source of its limits.

Consent in its home domains presupposes three things: an identifiable interference, an identifiable person who bears it, and a moment at which permission could meaningfully have been asked. A surgeon knows whose body she is cutting and when. A partner knows who is present. Those preconditions do not travel cleanly to a training corpus of five billion images in which any individual work contributes a vanishingly small statistical nudge to a set of weights. This is not a reason to say the practice is fine. It is a reason to say that "consent" may not be the concept that captures what is wrong with it, and that reaching for it anyway trades precision for emotional force.

That trade has consequences. When you describe scraping as a consent violation, you import the entire vocabulary of bodily and sexual violation along with it: taking, stealing, defiling, forcing. That vocabulary raises the temperature of every conversation it touches. It converts a dispute about intellectual property, labor economics, and platform terms of service into a dispute about personal violation, and disputes about personal violation do not get resolved by licensing negotiations. They get resolved by punishment. A movement that frames its grievance in the strongest available moral terms should not be surprised when its members act as though they are responding to an assault.

The odd thing is that the underlying grievances are often better described by other words, and those words are more legally actionable. Artists organizing through coalitions and litigation are, in substance, making claims about compensation, attribution, and control over commercial exploitation of their labor. Over 100,000 visual artists in the UK have mobilized against unauthorized use of copyrighted works in AI training, and the *Andersen v. Stability AI* class action has pressed the argument that training without permission amounts to mass infringement. Those are copyright claims, labor claims, and unfair competition claims. They are real, they have institutional pathways, and they do not need "consent" to be intelligible. Substituting the softer word for the harder legal ones sounds more urgent while conceding the terrain where the fight is actually winnable.

More awkwardly for the movement, the research literature it often cites has already concluded that individual consent is a poor instrument here. Work on collective governance of AI training datasets has noted that tools focused on individual opt-in or opt-out place the entire burden on the individual while giving them no ability to shape how models are actually built. Related work on distributed consent in social networks makes a structurally similar point: in networked systems, one person's choice inevitably implicates others, so individual permission cannot be the whole story. Scholars sympathetic to artists are saying, in effect, that consent-as-individual-checkbox does not deliver what artists want. The movement has largely not absorbed this.

There is a further conceptual problem worth stating plainly, because it explains a lot of the confusion. Consent and autonomy are not the same thing. Bioethicists have argued for years that treating informed consent as the expression of respect for autonomy is a category error that has become institutionally entrenched, and that ordinary people intuitively distinguish the two. Consent is a permission mechanism. Autonomy is a broader commitment to letting people govern their own lives. A movement can be scrupulous about consent as a procedure while being deeply hostile to autonomy as a value. That is roughly the position parts of the anti-AI community have arrived at: maximum insistence on the permission slip, minimum tolerance for other people's choices.

This brings us to the asymmetry, which is the heart of the matter. The same communities that describe unconsented training as a violation of personal boundaries frequently treat the decisions of individual AI users as illegitimate by definition. A person who decides, as an informed adult, that they want to use a language model to draft a cover letter or an image model to prototype a comic panel is not treated as someone exercising autonomy over their own labor and their own creative process. They are treated as a collaborator in theft whose stated reasons are presumptively bad faith. Whatever else that is, it is not a consent ethic. It is a purity ethic wearing a consent ethic's clothes.

The evidence for this is not anecdotal or hypothetical. As early as 2023, seventy-nine artists signed an open letter published by Creative Commons asking the US Congress to hear from creators who use generative tools. They described the debate as "polarized and destructive" and stated that many artists avoid these tools specifically out of fear of community backlash, and that artists who do use them face harassment and even death threats. Set aside whether you find their position on AI persuasive. The claim being made is that a norm of intimidation now governs a professional community, and that it is suppressing speech and disclosure. A movement organized around the principle that people should not be coerced into participation should find that report alarming rather than convenient.

The intimidation is not limited to people who actually use AI. Accusation itself has become a weapon. Reporting on online art communities describes comment sections filling with scrutiny and suspicion, and artists growing fearful about posting work at all because of what an allegation might cost them. Critics inside the art world have described the phenomenon as a witch hunt in which what began as reasonable protest against corporations turned into surveillance of fellow artists, complete with demands for proof of humanity and accusations that destroy reputations and income. Writers report the same dynamic: work flagged as machine-generated because it used the wrong adjectives, with editors and platforms acting on the flag before the human being gets a hearing.

Consider what this does to the burden of proof. Detection tools cannot reliably distinguish human from machine text, and they cannot explain their reasoning or bear responsibility for their errors. Yet institutions and mobs increasingly treat their output as evidence, which shifts the burden onto the writer, artist, or student to prove a negative about their own mind. A false positive is not a technical inconvenience when it costs someone a commission, a job, or a reputation. A community that genuinely believed in consent as a boundary-protecting concept would be the first to object to a regime in which strangers assert authority over your creative process on the basis of unfalsifiable suspicion.

Then there is the disclosure demand, which is rarely examined as the consent question it is. Many people in the anti-AI community hold that anyone who used AI at any stage must declare it, and that failure to declare is fraud. Reasonable people can support disclosure norms for commercial and journalistic contexts. But notice the structure of the demand as it is usually made: an individual's private working method becomes a matter of public entitlement, and refusal to disclose is treated as guilt. Whatever the merits, this is a claim that other people are owed access to information about how you think and work. You cannot simultaneously hold that inference about your creative output is sacred territory and that inference about someone else's is a public right.

The disability case is the sharpest illustration, and it is uncomfortable in both directions. Many disabled people report that generative tools materially expand what they can do. Autistic users describe using chatbots to draft communications; researchers studying accessibility have documented these uses directly. When NaNoWriMo suggested in 2024 that opposition to AI could have ableist dimensions, the backlash was immediate and included disabled scholars and artists who argued forcefully that the framing was itself patronizing, that art is precisely the domain where disabled people have historically found expression without needing accommodation, and that no one should assume they need machine help. Those objections deserve serious weight, and disabled anti-AI voices are numerous and articulate.

But that is exactly the point about consent. There is no unified disabled position to invoke, which means neither side gets to speak for the group. What has often happened in practice is that non-disabled advocates cite disabled critics of AI in order to dismiss disabled users of AI, telling the second group that their reported experience of their own bodies and their own workflows is false consciousness at best and cover for theft at worst. Overriding a person's account of what helps them, on the authority of a third party who shares their diagnostic category but not their situation, is the exact failure mode that consent frameworks exist to prevent.

There is also a logical point that the movement rarely confronts: consent is not transitive. Suppose an artist genuinely did not consent to their work being scraped, and suppose that wrong is real. It does not follow that the artist thereby acquires authority over a third party who later uses a model built with that data. Grievance against a company does not convert into jurisdiction over a stranger. If it did, the same principle would license an extraordinary range of demands over ordinary people's consumption choices, and almost nobody would accept it in any other domain. The move from "this company wronged me" to "therefore you may not use this tool, and I may punish you if you do" needs an argument, and it is almost never supplied.

The scale of the problem makes this more than a philosophical quibble. Pew Research found in early 2026 that about half of US adults now use AI chatbots, up from roughly a third in 2024, and that sixty percent read AI-generated summaries in search results. The same survey found deep public skepticism, with forty percent expecting AI to harm society, which tells you these are not naive enthusiasts. They are ambivalent adults making case-by-case decisions. A norm that codes half the adult population as complicit in an ongoing violation is not a consent norm. It is a prohibition, and prohibitions that lack majority support are enforced through stigma rather than persuasion.

None of this means consent language is always empty. It does precise, useful work when it names a specific procedural failure. The clearest example is opt-out theater. When Meta shifted its legal basis for training on user content to "legitimate interests" and buried the objection mechanism several menus deep in language designed to discourage its use, critics were right to call that a consent failure, and to say so in exactly those words. Manufactured, defaulted, or deliberately obscured permission is a genuine abuse of the concept, and the anti-AI community deserves credit for identifying it. Precision is what made that criticism land. Compare that to the maximal usage, in which any downstream inference from publicly posted material without prior individual approval is a violation. Under that definition, a human being who studies an artist's brushwork and adopts elements of it has also failed to obtain consent, which almost nobody wants to say. The definition therefore has to be quietly narrowed to "when a machine does it," which means the operative principle is not really consent at all but a substantive claim about machines, scale, and commerce. That claim may well be correct. It should be argued for on its own terms rather than smuggled in under a word borrowed from a different debate.

Concept inflation has a predictable second-order effect: enforcement inflates alongside it. If unconsented training is understood as violation rather than infringement, then countermeasures escalate accordingly. Tools like Glaze and Nightshade, which perturb images so that models misread them, and Kudurru, which detects and misdirects scrapers, are described by their users in openly combative terms, as poisoning the well or as self-defense against a home invasion. As technical protest these tools are defensible and often clever. The concern is what happens when the same escalation logic is turned inward, on individual peers, in the absence of any due process. Sabotaging a corporate scraper and hounding a freelance illustrator are not the same act, but the vocabulary of violation makes them feel continuous.

Meanwhile, the fights that could actually be won receive less energy than the fights over individual moral hygiene. Collective bargaining has already produced enforceable AI provisions in entertainment contracts. Licensing markets and consent-based training corpora exist and are growing, with tools that let creators register refusals and companies that build models on cleared data. Transparency and provenance mandates are live legislative questions in multiple jurisdictions. Statutory compensation schemes modeled on music royalties have been proposed in outline. Each of these is a structural remedy that survives the failure of any individual to make the right personal choice, and each is more achievable when the movement presents itself as a bargaining party rather than a tribunal.

The vocabulary problem also directly undermines the movement's stated transparency goals. Reporting from within the film and television industry describes a substantial middle layer of editors and artists quietly using AI tools without disclosing it, precisely because of the backlash, with journalists finding it difficult to get anyone to speak on the record. That is the predicted result of making disclosure dangerous. If the penalty for admitting AI use is professional damage, then people will use it and not admit it, which means the public gets less accurate information about how its media is made, not more. A norm engineered to punish honesty produces dishonesty. That outcome is worse for artists than for anyone else.

What would a consistent consent ethic look like? At minimum, symmetry. If informed permission matters when a corporation ingests your portfolio, it matters when an online community demands an accounting of your creative process. If it is wrong to assume that posting publicly implies agreement to everything downstream, it is also wrong to assume that using a tool implies agreement to being investigated, accused, or made an example of. If the wrong of nonconsensual training is that a powerful party overrode an individual's judgment about their own work, then overriding an individual's judgment about their own work is wrong when a mob does it too. Consent does not become optional when the person exercising it reaches a conclusion you dislike.

Several fixes follow directly. Separate the claims: say "I was not compensated," "I was not credited," or "my style was commercially cloned" when those are the actual grievances, and reserve "I did not consent" for cases of genuine procedural failure like buried opt-outs and defaulted permissions. Adopt the collective governance language that the sympathetic research literature already recommends, since it fits the structure of the harm better than individual permission does. Establish community norms that treat harassment and death threats as disqualifying rather than as regrettable excess by people whose hearts are in the right place. Set an evidentiary standard before accusations of AI use are made publicly, and treat detector output as the unreliable signal it is. Aim enforcement at institutions with power rather than at individuals without it. And extend to disabled users, hobbyists, and working people the same presumption of good faith the movement rightly demands for itself.

Now the strongest case on the other side, which deserves a fair hearing rather than a dismissal. The most serious objection is that the two "consents" are not remotely comparable, because power is not distributed evenly between them. An artist facing a company that has ingested their life's work has no realistic exit, no bargaining position, and often no legal remedy. A user who wants to make an image has many alternatives, including hiring the artist. On this view, comparing a structural grievance to a consumer preference is a category error dressed up as even-handedness, and the demand for symmetry functions as a way of neutralizing a claim by the weak party. There is real force here. Autonomy claims are not all equally weighty, and a person's freedom to choose a convenient tool is not obviously on par with a person's ability to control the commercial exploitation of their labor.

A second objection: consent language is not a rhetorical trick but the only available vocabulary. Copyright law was not built for statistical learning, the legal outcomes remain unsettled, and legislative remedies are slow and heavily lobbied against. When formal channels are closed, moral language is what people have. Defenders would add that opt-out schemes really are consent-washing, that emerging regimes such as text and data mining reservations and voice and likeness statutes show that consent-shaped remedies can be operationalized, and that harassment by some participants is a fact about internet subcultures rather than a defect in a philosophical position. Every movement has people who behave badly; that does not make the underlying claim wrong. They would also point out that user choice does not answer the question of how the tool was built, and that a person can consent to using something that was made unethically without that consent laundering anything.

Those responses are strong enough that the argument here should be stated carefully. The claim is not that anti-AI advocates are wrong about training data, nor that people who use AI have some overriding right to be free of criticism. Criticism is legitimate, disclosure norms are reasonable in many contexts, and the grievances behind the movement are substantial and largely unaddressed. The claim is narrower and, in a sense, friendlier: a movement whose central moral concept is consent cannot afford to be casual about consent. When it defines the term expansively enough to cover any use it dislikes, and then applies it in one direction only, it hands opponents an easy answer and forfeits the moral clarity that made the word worth using. The remedy is not to abandon the concept. It is to take it seriously enough to apply it to everyone, including the people on the other side of the argument.

---

## Sources

- Pew Research Center, *Americans and AI 2026: Chatbots, Smart Devices and Views on Impact* (June 17, 2026). https://www.pewresearch.org/internet/2026/06/17/americans-and-ai-2026-chatbots-smart-devices-and-views-on-impact/
- Creative Commons, open letter from artists using generative AI to the US Congress, reported in TechRadar, "Some artists are actually pretty keen to get in on AI." https://www.techradar.com/pro/artists-want-in-on-ai
- Jonathan Lewis, "Respect for autonomy: Consent doesn't cut it," *Clinical Ethics* (2023). https://journals.sagepub.com/doi/10.1177/14777509231173572
- "Limits of Individual Consent and Models of Distributed Consent in Online Social Networks," arXiv:2006.16140. https://arxiv.org/pdf/2006.16140
- "My Voice, Your Voice, Our Voice: Attitudes Towards Collective Governance of a Choral AI Dataset," arXiv:2412.01433. https://arxiv.org/pdf/2412.01433
- "When Algorithms Meet Artists: Semantic Compression of Artists' Concerns in the Public AI-Art Debate," arXiv:2508.03037. https://arxiv.org/pdf/2508.03037
- "U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI," arXiv:2406.15386. https://arxiv.org/pdf/2406.15386
- Creative Bloq, "Artists threaten to leave Instagram in droves over AI art training" (June 2024). https://www.creativebloq.com/news/instagram-ai-training
- NPR, "New tools help artists fight AI by directly disrupting the systems" (Nov. 2023). https://www.npr.org/2023/11/03/1210208164/new-tools-help-artists-fight-ai-by-directly-disrupting-the-systems
- The Daily Iowan, "AI art accusations cause chaos in online spaces" (Oct. 2025). https://dailyiowan.com/2025/10/14/ai-art-accusations-cause-chaos-in-online-spaces/
- Noelle Alexandria, "The AI Witch Hunt: How False Accusations and Lack of Transparency Are Damaging Creative Communities" (March 2025). https://www.noellealexandria.com/the-ai-witch-hunt-how-false-accusations-and-lack-of-transparency-are-damaging-creative-communities/
- Wolfshead Online, "The New Witch Hunt: How AI Assisted Art Was Turned Into a Moral Crime" (March 2026). https://wolfsheadonline.com/the-new-witch-hunt-how-ai-assisted-art-was-turned-into-a-moral-crime/
- Stephanie Kirmer, "Disability, Accessibility, and AI," *Towards Data Science* (Sept. 2024), covering Dr. Johnathan Flowers on the NaNoWriMo controversy. https://towardsdatascience.com/disability-accessibility-and-ai-0d5ab06ec140/
- Semper Floreat, "The Ableist Argument for Generative AI" (Aug. 2025). https://www.semperfloreat.com.au/the-ableist-argument-for-generative-ai/
- Art | Crime Archive, "Accessibility or Exploitation? The Disabled Identity, Art, and AI" (Oct. 2025). https://artcrimearchive.net/2025/10/04/accessibility-or-exploitation-the-disabled-identity-art-and-ai/
- Deepak Giri and Erin Brady, "A Democratic Platform for Engaging with Disabled Community in Generative AI Development," arXiv:2309.14921. https://arxiv.org/pdf/2309.14921
- Understanding AI, "An AI 'tsunami' is coming for Hollywood: here's how artists are responding" (Nov. 2025). https://www.understandingai.org/p/an-ai-tsunami-is-coming-for-hollywood
- Dataversity, "Ask a Data Ethicist: Is Consent the Wrong Approach for Modern Data Regulation?" (Sept. 2025). https://www.dataversity.net/articles/ask-a-data-ethicist-is-consent-the-wrong-approach-for-modern-data-regulation/
- "AI, big data, and the future of consent," *AI & Society* (2021). https://pmc.ncbi.nlm.nih.gov/articles/PMC8404542/

I’m a new-ish player getting things figured out. Sorry about this weird angle it’s the best I can get

Prove me wrong!!

This AI mood evaluator is a real thing, I checked their website.

Hello! I hope you enjoy my shameless self promotion. Anyways, I'm bored. Making an ARG might be fun, and I plan on just writing the story along the way. I've tried this before but ended up rushing it and the end result was horrible. Time between posting might be long, and I might give up half way through. Anyways I plan on using a lot of complicated ciphers and stuff. First video is out, and its just lore there isn't anything to look for. Most is explained in the description. Second video is in the making. This probably won't go anywhere and might end up like slop.

https://www.youtube.com/@Darwin-g1f