The American standard for copyright protects commercial interests, not creative integrity

There’s a corner of the internet that’s existed for decades, largely unbothered, largely self-regulating, and largely misunderstood by the people who probably should be paying closest attention to it. It’s the world of fan fiction where millions of stories, updated daily, written by people who love a character, a world, or a universe so completely that they can’t stop at consuming it. They have to live inside it, push it, stress-test it, take it somewhere its creators never intended, and then share what they found with others who feel exactly the same way.

Fan fiction writers, almost universally and almost instinctively, understand something that intellectual property law has spent decades failing to articulate cleanly: there’s a fundamental difference between engaging with a character and exploiting one. The Archive of Our Own alone hosts over ten million works across tens of thousands of fandoms, and these people aren’t pirates nor are they counterfeiters. They are, in fact, the most engaged fans and audience that an author or creator could ever hope to have. These fans are people so invested in a fictional world that they contribute unpaid labour to expanding it. And the implicit contract they operate under is straightforward: this isn’t a commercial undertaking nor is it a challenge to ownership, and if it ever becomes either of those things, the rules change.

The unwritten rules of fanfiction

That implicit contract is more sophisticated than most formal licensing agreements, and what makes it remarkable is that it holds without legal compulsion or enforcement mechanisms. Fanfic communities self-police, tag content meticulously for audiences, distinguish between canon-compliant works and divergent ones, credit their sources, and pull works when creators object — not just because the law demands it but because the community understands that ethical norms around someone else’s IP matter more than what they can technically get away with. The irony is that IP lawyers are the people least equipped to understand any of this, because their frameworks were built for a world where creative engagement was a transaction rather than a relationship.

Why characters are different from everything else

Fanfiction works as a creative and ethical space precisely because it operates almost exclusively in the domain of character and visual identity, and that’s the hardest category of IP to abstract, remix, or adapt without taking something essential from its origin. A melody can be sampled and transformed, and a plot can be retold through a different lens without borrowing its architecture wholesale. But a character — especially a visual one with a fixed appearance, a known personality, a set of relationships and a history that audiences have internalised — doesn’t separate easily from what makes it itself. When fanfic writers work with Hermione Granger or Zuko or Geralt of Rivia, they’re not sampling an abstraction but working with something specific, coherent, and deeply associated with its origin. They know this, and it’s exactly why they don’t sell it

This is where the comparison with professional derivative works gets instructive, and uncomfortable. The film Brightburn, released in 2019, asks a genuinely interesting question: what if the Superman origin story produced not a hero but a predator? An infant of extraterrestrial origin arrives on Earth, humans raise him, he develops extraordinary abilities, and he chooses violence. The film never names Superman nor does it touch his iconography, his costume, his mythology, or his supporting cast. What it does it it interrogates the archetype because the foundling with hidden power is as old as Moses, as old as Romulus, as old as narrative itself. Brightburn earns its premise because it brings something to the archetype rather than borrowing an identity, and fanfic communities would recognize it immediately as a work that does the creative work rather than just taking the shortcut.

Winnie the Pooh: Blood and Honey, released in 2023 after the 1926 A.A. Milne illustrations entered the public domain in the United States, is a different operation entirely. It takes Pooh and Piglet, characters with fixed visual identities, personalities, and a century of cultural association with innocence and childhood warmth, and turns them into slasher villains.

The horror framing adds nothing that required these specific characters, because any beloved children’s IP would’ve served the same shock-value purpose. Heck, you don’t even need an existing IP, Chucky, anyone? Or Gremlins, for that matter. Hell, Happy Tree Friends was something else altogether for the young Gen X and senior Millennials at the time.

The filmmakers chose Pooh entirely and cynically for the recognition by weaponizing familiarity, and there’s no coherent argument that the film engages creatively with what these characters are. It uses their faces because it legally could, and it markets itself on the dissonance that creates. It’s cynicism with a distribution deal.

How copyright law fails the character question

The distinction between these two films isn’t complicated: one engages with an idea while the other appropriates an identity. A fanfic writer understands this distinction reflexively because they live inside it daily. They know when they’re writing a story that genuinely engages with a character’s qualities and when they’re simply using a character’s name and face as a vehicle for something entirely unrelated to what made that character worth caring about. The law doesn’t make this distinction nor does it try to, asking only whether the copyright has expired or whether the use falls within fair use provisions, which are entirely the wrong questions when the issue isn’t legality but integrity.

Copyright, as a legal instrument, was constructed to solve an economic problem. It gives creators a temporary monopoly over their work in exchange for its eventual return to the cultural commons, but it was never designed to protect the dignity of a character, the integrity of a creative vision, or the relationship between a work and its audience. French law probably comes closest to addressing this through the concept of droit moral or moral rights that include the right to the integrity of a work, perpetual and non-transferable. Under a French moral rights framework, distorting a work in ways that harm the creator’s honor or reputation remains actionable regardless of copyright status. It’s an imperfect instrument, but it at least acknowledges that legal ownership and ethical stewardship aren’t the same thing, and that the law has an interest in the latter as well as the former. Importantly, parodies and satirical works are protected by French law but it works within a strict legal requirement that authors or creators must make it clear that their work is parody or satire.

What the law protects and what it doesn’t

Anglo-American copyright tradition has largely rejected moral rights, or incorporated them so weakly that they’re meaningless in practice. What it has instead is trademark, which fills some of the gap but anchors protection to commercial identity rather than creative integrity. Mickey Mouse, whose earliest incarnation entered the public domain in 2024, remains under Disney’s control through trademark because Mickey functions as a brand identifier, and nobody can use him in a way that implies Disney’s endorsement or creates consumer confusion. That protection doesn’t expire, but it exists to prevent commercial deception rather than to honor what the character actually is. Important to restate that anyone can now use the old Steamboat Willie character but they can’t use it to make people think their creation represents Disney or that it’s an official Disney release.

The law protects Mickey’s face because it’s a logo, not because he’s a character with a history and an audience that’s grown up alongside him, and that distinction matters because it means the protection is contingent on commercial association rather than creative investment — a standard that has nothing to say about what’s right and everything to say about what’s profitable.

When characters become bigger than their owners

The characters that sit in the most complicated territory are the ones that have genuinely worked their way into shared culture across generations. Tintin, Astro Boy, Superman, Sherlock Holmes, these aren’t merely IP assets but reference points through which people understand certain ideas, certain archetypes, certain ways of being in the world. People grow up with them and form attachments to them that have nothing to do with commercial relationships, and the claim that these characters belong entirely and permanently to a single entity sits uneasily against that reality. But so does the claim that their public familiarity gives anyone the right to do anything with them.

What Blood and Honey exploits isn’t the public domain. It exploits the care that audiences invested over decades in something they grew up loving, without those audiences ever being consulted about what someone could do with it. A.A. Milne built that, generations of readers sustained it, and filmmakers who contributed nothing to it cashed it out.

The Sherlock Holmes litigation makes this point sharply. Sir Arthur Conan Doyle’s estate spent years arguing that while the character of Sherlock Holmes was in the public domain, the specific traits and emotional dimensions that Doyle introduced in his later stories remained protected until those stories expired too. It was a legally awkward argument but an ethically coherent one — a recognition that a character isn’t a static entity but an accumulation of qualities developed over time, and that different layers of that accumulation might warrant different treatment. The courts were largely unsympathetic, because copyright law has no good tools for thinking about characters as evolving entities rather than fixed works, but the underlying instinct — that there’s something more to a character than its earliest legally unprotected iteration — points to a real failure in how the law handles visual and character IP.

From fanfic to commercial publishing

What fanfic writers have worked out through practice and community rather than legislation is a framework the law hasn’t managed to produce. Creative engagement with a character is legitimate when it comes from genuine investment in what that character is: their qualities, their relationships, their place in a larger world, and it becomes exploitation when someone uses a character’s identity as raw material while contributing nothing to what made that identity worth using. The line between the two isn’t always clean, but it’s rarely as unclear as the law pretends.

When a fanfic writer decides to go commercial, they understand they have to make it their own by changing the names, alter the iconography, build enough distance from the source that the new work stands independently, because they recognize that commercial benefit changes the terms of the relationship with the original IP fundamentally.

Fifty Shades of Grey started as Twilight fan fiction, and its journey to publication required it to become something else entirely. Similarly with the books The Irresistible Urge to Fall For Your Enemy by Brigitte Knightley which started out as a fanfic about Draco Malfoy and Hermione Granger titled Draco Malfoy and the Mortifying Ordeal of Being in Love, and Alchemised by SenLinYu — originally also a Harry Potter fanfic, titled Manacled, which was about what happened after Voldemort killed Potter and won the battle of Hogwarts. All these titles took significant rewrites to avoid copyright entanglements ahead of their commercial publications but they all have become their own thing.

The law isn’t equipped for any of this, and it was never built to be. It doesn’t ask the right questions, and where it does intervene — as in the Blood and Honey situation — it does so only to confirm that something is permitted rather than to assess whether it’s justified.

Legality has never been a reliable test of what’s right, and in the domain of creative IP it’s a particularly blunt one. What’s needed isn’t longer copyright terms or more expansive legal protection, but a willingness to treat creative integrity as something worth protecting on its own terms rather than as a byproduct of commercial interest.

The fanfic community figured that out decades ago, without legislation, enforcement, and lawyers. The people who actually care about these characters always understood where the line was. The law just never thought to ask them.

The Apple – Perplexity rumor that won’t go away

This is a longer think piece from the quick post I had on Mastodon the other day.

Every time someone floats the idea that Apple should acquire Perplexity to “supercharge” its AI efforts, I get whiplash, not just from the sheer strategic laziness of the suggestion, but from the deeper cultural misalignment it completely ignores. The very idea is a perplexing thought.

Perplexity isn’t some misunderstood innovator quietly building the future. It’s a company fundamentally unsure of what it is, what it stands for, or how to exist without parasitizing the open web. It’s been posing as a search engine, an AI-powered Q&A tool, a research assistant, and lately, some vague hybrid of all three, depending on who’s asking and what narrative sounds hottest that week. The only throughline is this: a constant need to justify its own existence, retrofitting its product pitch to whatever the industry is currently foaming at the mouth about.

And then there’s the CEO.

Perplexity CEO Aravind Srinivas has made a habit of saying the quiet parts out loud, and not in a refreshing, brutally honest way, but in a way that suggests he hasn’t thought them through. Case in point: TechCrunch Disrupt 2024, where he was asked point blank to define plagiarism and couldn’t answer. Not didn’t answer. Couldn’t. That wasn’t just a missed PR opportunity. That was a red flag, flapping violently in the face of a company that scrapes content from other publishers, slaps a “summarized by AI” badge on it, and tries to call that innovation.

When you can’t define plagiarism as the CEO of a company built on other people’s work, that’s not strategic ambiguity, that’s an ethical void. And it’s telling. Perplexity has made a business of riding the razor-thin line between fair use and flat-out theft, and they want the benefit of the doubt without the burden of responsibility.

Which is where the Apple comparisons get absurd.

Yes, Apple stumbled. For more than a decade, Siri was a rudderless ship, a clunky commuter train in an age where everyone else was racing to build maglevs. The company completely missed the LLM Shinkansen as it rocketed past, leaving Siri coughing in the dust. What followed was a scramble, an engine swap mid-ride, and the painful attempt to retrofit a creaky voice assistant into something worthy of generative AI expectations.

That failure — public, prolonged, and still unresolved — gave the impression that Apple had no idea what was coming. That they were too slow, too self-contained, and too arrogant to evolve. And to some extent, that criticism landed. The year-long silence after ChatGPT’s breakout moment painted Apple as unprepared, reactive, even out of touch.

But here’s the thing: while Apple still hasn’t shown much of anything tangible since the Apple Intelligence announcement at WWDC 2024 (Genmoji? Really? Messed up email and notification summary?), the signals are clear. The company has changed course. They’ve acknowledged they’re behind and now they’re moving, quietly but with force. Once Apple has its engineering machine locked onto a target, the company doesn’t need to acquire noisy, erratic startups to plug the gaps. What it needs is time. And direction. And both are now in motion.

Which brings us back to Perplexity. Apple doesn’t need it. Not for the tech — which is just a UX layer on top of open models and scraped data. Not for the team — which seems more interested in testing the boundaries of IP law than building products people trust. And definitely not for the culture — which is allergic to accountability and powered by vibes over values.

Apple’s entire value proposition is control: of the user experience, of the ecosystem, and of the narrative. Perplexity brings chaos. Unapologetically so. It doesn’t have a sustainable moat, a mature product, or a north star. It has hype. It has press. And it has the moral compass of a company that thinks citation is a permission slip to republish everyone else’s work for free.

If Apple wants a better search experience, it can build one, with privacy built in, on-device processing, and full-stack integration. If it wants a smarter assistant, it can leverage its silicon and software in ways that Perplexity simply can’t touch. What it doesn’t need is a cultural virus from a startup that treats copyright like a rounding error and ethics like an optional plugin.

So no, Apple shouldn’t buy Perplexity. Not because it can’t. But because it finally knows what it needs to build, and it’s building it the Apple way. At least that’s what I think they’re doing.

ChatGPT will always give you an answer even if it’s wrong

Between fast and correct ChatGPT will always choose fast because it’s not programmed or trained to say it doesn’t have the answer. ChatGPT is trained to respond confidently and as a result will always provide you with an answer regardless whether the answer is false or factual.

In this example ChatGPT was asked in what episode of The Simpsons did Homer Simpson ask how much is a free gift. ChatGPT confidently answered episode 7 of season 7, King Size Homer.

That episode was indeed titled King Size Homer but it’s not the episode where Homer asked the question. That episode was The Joy of Sect, season 9 episode 13 as confirmed by IMDb.

Given that a chatbot built upon a Large Language Model (LLM) would be beneficial for IMDb to have, maybe it’s just a matter of time before they build one for themselves. After all, search seems to be making way for chatbots or voice queries lately. There is however, a caveat, which I will get to in a second.

If you enter “Homer how much free gift” into YouTube’s search bar, it will give you this video as the first answer. Granted it only says the episode title, number, and season in the video description, which can easily be incorrect or even blank but cross referencing that with IMDb confirmed it’s the correct one.

If you search on Google, it may suggest to you the more accurate quote to search for which should give you the same YouTube video at or near the top of the search results. Google 1, ChatGPT 0.

Google search suggestions for “Homer how much”

ChatGPT may well be the most advanced LLM chatbot today but it’s a language model designed and trained to deliver the most grammatically or syntactically correct response according to the material it has been trained on. It is not trained to provide the correct answer to queries because it’s not meant to be a search engine or database that you submit queries to.

While ChatGPT does not verify or fact check its responses, other models may be trained to find the correct answer and infer the answer from information it comes across online.

If ChatGPT happens to provide the correct answer it’s only because the answer is contained in the training material with the relevant context which it manages to pull out. In other words correct answers are delivered by chance without verification. How many times have you realized it was lying to you and you had to ask why it gave you the wrong answer or to check whether the information it gave you is correct?

Remember last year when everyone was reporting that ChatGPT had passed the bar exam (lawyer’s exam) in the top 10%? It actually didn’t. It was more like in the top 69% to 48% depending on the peers or cohorts. The grading method was flawed.

Again, ChatGPT is not an information database but it does know how to form correct sentences, write in certain styles, translate texts, and help you with your coding. Maybe one day it may become an information database but today, with GPT 3.5, 4.0, and 4o, is not that day.

Use ChatGPT as a writing or coding assistant and you’re probably golden but you still have to play the role of an editor to make sure it gives you the correct output for you needs.

AI voice detection and recognition are becoming more crucial

This Twitter thread shows how far along artificial voices have come. For those who are familiar with Steve Jobs’ voice, the voice in these recordings is almost indistinguishable from the original. When you listen to them, you can be forgiven to think that it’s actually Steve Jobs saying these words, never mind that he’s been gone for more than a decade.

The only catch is that because the training set must have been taken from the many recordings of his Apple keynote speeches and product announcements, they all sound like he’s reading from a script or making announcements. None of the sentences sound natural the way someone would speak if they were having a regular conversation or answering questions but that’s not too difficult to overcome. The tools to make adjustments to AI generated voices to sound more natural already exists.

Here’s another example. The YouTube channel Star Wars Comics have started to experiment with using generated voices to narrate some storyline’s from the Star Wars comic books to keep their audience up to date with what’s happening in the comics. In one video, they used James Earl Jones’ Darth Vader voice to say the lines in the pages of the comic book. Their latest video voiced a conversation between Emperor Palpatine and Darth Vader from another issue in the recent Darth Vader comic book series, both using the generated voices of their real actors.

As many in the comments noted, while their voices sound indistinguishable from the original, the speech patterns make it obvious that these were generated. That’s because the voices weren’t adjusted to the way a person would speak in a proper conversation given in the situation. Again, these are relatively trivial changes that one could make using their AI voice generators.

While these may be little more than fun projects for the curious minds, the day when someone can create entirely fabricated recordings to manipulate the public is already here. You can already create fake videos of a person saying things that they never actually said, now the voices sound even closer to the original.

When deepfake videos started popping up in 2020, people knew that this was going to be a significant problem. People are already easily fooled by fabricated articles or stories and this is just going to make it far more challenging for people to fact check and verify the validity of recordings.

All I can say for that is, brace for impact.

screen grabs of the siri vs tellme video. the important parts.

Microsoft’s TellMe vs Apple’s Siri