MidJourney

warner-bros.-sues-midjourney-to-stop-ai-knockoffs-of-batman,-scooby-doo

Warner Bros. sues Midjourney to stop AI knockoffs of Batman, Scooby-Doo


AI would’ve gotten away with it too…

Warner Bros. case builds on arguments raised in a Disney/Universal lawsuit.

DVD art for the animated movie Scooby-Doo & Batman: The Brave and the Bold. Credit: Warner Bros. Discovery

Warner Bros. hit Midjourney with a lawsuit Thursday, crafting a complaint that strives to shoot down defenses that the AI company has already raised in a similar lawsuit filed by Disney and Universal Studios earlier this year.

The big film studios have alleged that Midjourney profits off image generation models trained to produce outputs of popular characters. For Disney and Universal, intellectual property rights to pop icons like Darth Vader and the Simpsons were allegedly infringed. And now, the WB complaint defends rights over comic characters like Superman, Wonder Woman, and Batman, as well as characters considered “pillars of pop culture with a lasting impact on generations,” like Scooby-Doo and Bugs Bunny, and modern cartoon characters like Rick and Morty.

“Midjourney brazenly dispenses Warner Bros. Discovery’s intellectual property as if it were its own,” the WB complaint said, accusing Midjourney of allowing subscribers to “pick iconic” copyrighted characters and generate them in “every imaginable scene.”

Planning to seize Midjourney’s profits from allegedly using beloved characters to promote its service, Warner Bros. described Midjourney as “defiant and undeterred” by the Disney/Universal lawsuit. Despite that litigation, WB claimed that Midjourney has recently removed copyright protections in its supposedly shameful ongoing bid for profits. Nothing but a permanent injunction will end Midjourney’s outputs of allegedly “countless infringing images,” WB argued, branding Midjourney’s alleged infringements as “vast, intentional, and unrelenting.”

Examples of closely matching outputs include prompts for “screencaps” showing specific movie frames, a search term that at least one artist, Reid Southen, had optimistically predicted Midjourney would block last year, but it apparently did not.

Here are some examples included in WB’s complaint:

Midjourney’s output for the prompt, “Superman, classic cartoon character, DC comics.”

Midjourney could face devastating financial consequences in a loss. At trial, WB is hoping discovery will show the true extent of Midjourney’s alleged infringement, asking the court for maximum statutory damages, at $150,000 per infringing output. Just 2,000 infringing outputs unearthed could cost Midjourney more than its total revenue for 2024, which was approximately $300 million, the WB complaint said.

Warner Bros. hopes to hobble Midjourney’s best defense

For Midjourney, the WB complaint could potentially hit harder than the Disney/Universal lawsuit. WB’s complaint shows how closely studios are monitoring AI copyright litigation, likely choosing ideal moments to strike when studios feel they can better defend their property. So, while much of WB’s complaint echoes Disney and Universal’s arguments—which Midjourney has already begun defending against—IP attorney Randy McCarthy suggested in statements provided to Ars that WB also looked for seemingly smart ways to potentially overcome some of Midjourney’s best defenses when filing its complaint.

WB likely took note when Midjourney filed its response to the Disney/Universal lawsuit last month, arguing that its system is “trained on billions of publicly available images” and generates images not by retrieving a copy of an image in its database but based on “complex statistical relationships between visual features and words in the text-image pairs are encoded within the model.”

This defense could allow Midjourney to avoid claims that it copied WB images and distributes copies through its models. But hoping to dodge this defense, WB didn’t argue that Midjourney retains copies of its images. Rather, the entertainment giant raised a more nuanced argument that:

Midjourney used software, servers, and other technology to store and fix data associated with Warner Bros. Discovery’s Copyrighted Works in such a manner that those works are thereby embodied in the model, from which Midjourney is then able to generate, reproduce, publicly display, and distribute unlimited “copies” and “derivative works” of Warner Bros. Discovery’s works as defined by the Copyright Act.”

McCarthy noted that WB’s argument pushes the court to at least consider that even though “Midjourney does not store copies of the works in its model,” its system “nonetheless accesses the data relating to the works that are stored by Midjourney’s system.”

“This seems to be a very clever way to counter MJ’s ‘statistical pattern analysis’ arguments,” McCarthy said.

If it’s a winning argument, that could give WB a path to wipe Midjourney’s models. WB argued that each time Midjourney provides a “substantially new” version of its image generator, it “repeats this process.” And that ongoing activity—due to Midjourney’s initial allegedly “massive copying” of WB works—allows Midjourney to “further reproduce, publicly display, publicly perform, and distribute image and video outputs that are identical or virtually identical to Warner Bros. Discovery’s Copyrighted Works in response to simple prompts from subscribers.”

Perhaps further strengthening the WB’s argument, the lawsuit noted that Midjourney promotes allegedly infringing outputs on its 24/7 YouTube channel and appears to have plans to compete with traditional TV and streaming services. Asking the court to block Midjourney’s outputs instead, WB claims it’s already been “substantially and irreparably harmed” and risks further damages if the AI image generator is left unchecked.

As alleged proof that the AI company knows its tool is being used to infringe WB property, WB pointed to Midjourney’s own Discord server and subreddit, where users post outputs depicting WB characters and share tips to help others do the same. They also called out Midjourney’s “Explore” page, which allows users to drop a WB-referencing output into the prompt field to generate similar images.

“It is hard to imagine copyright infringement that is any more willful than what Midjourney is doing here,” the WB complaint said.

WB and Midjourney did not immediately respond to Ars’ request to comment.

Midjourney slammed for promising “fewer blocked jobs”

McCarthy noted that WB’s legal strategy differs in other ways from the arguments Midjourney’s already weighed in the Disney/Universal lawsuit.

The WB complaint also anticipates Midjourney’s likely defense that users are generating infringing outputs, not Midjourney, which could invalidate any charges of direct copyright infringement.

In the Disney/Universal lawsuit, Midjourney argued that courts have recently found that AI tools referencing copyrighted works is “a quintessentially transformative fair use,” accusing studios of trying to censor “an instrument for user expression.” They claim that Midjourney cannot know about infringing outputs unless studios use the company’s DMCA process, while noting that subscribers have “any number of legitimate, noninfringing grounds to create images incorporating characters from popular culture,” including “non-commercial fan art, experimentation and ideation, and social commentary and criticism.”

To avoid losing on that front, the WB complaint doesn’t depend on a ruling that Midjourney directly infringed copyrights. Instead, the complaint “more fully” emphasizes how Midjourney may be “secondarily liable for infringement via contributory, inducement and/or vicarious liability by inducing its users to directly infringe,” McCarthy suggested.

Additionally, WB’s complaint “seems to be emphasizing” that Midjourney “allegedly has the technical means to prevent its system from accepting prompts that directly reference copyrighted characters,” and “that would prevent infringing outputs from being displayed,” McCarthy said.

The complaint noted that Midjourney is in full control of what outputs can be generated. Noting that Midjourney “temporarily refused to ‘animate'” outputs of WB characters after launching video generations, the lawsuit appears to have been filed in response to Midjourney “deliberately” removing those protections and then announcing that subscribers would experience “fewer blocked jobs.”

Together, these arguments “appear to be intended to lead to the inference that Midjourney is willfully enticing its users to infringe,” McCarthy said.

WB’s complaint details simple user prompts that generate allegedly infringing outputs without any need to manipulate the system. The ease of generating popular characters seems to make Midjourney a destination for users frustrated by other AI image generators that make it harder to generate infringing outputs, WB alleged.

On top of that, Midjourney also infringes copyrights by generating WB characters, “even in response to generic prompts like ‘classic comic book superhero battle.'” And while Midjourney has seemingly taken steps to block WB characters from appearing on its “Explore” page, where users can find inspiration for prompts, these guardrails aren’t perfect, but rather “spotty and suspicious,” WB alleged. Supposedly, searches for correctly spelled character names like “Batman” are blocked, but any user who accidentally or intentionally mispells a character’s name like “Batma” can learn an easy way to work around that block.

Additionally, WB alleged, “the outputs often contain extensive nuance and detail, background elements, costumes, and accessories beyond what was specified in the prompt.” And every time that Midjourney outputs an allegedly infringing image, it “also trains on the outputs it has generated,” the lawsuit noted, creating a never-ending cycle of continually enhanced AI fakes of pop icons.

Midjourney could slow down the cycle and “minimize” these allegedly infringing outputs, if it cannot automatically block them all, WB suggested. But instead, “Midjourney has made a calculated and profit-driven decision to offer zero protection for copyright owners even though Midjourney knows about the breathtaking scope of its piracy and copyright infringement,” WB alleged.

Fearing a supposed scheme to replace WB in the market by stealing its best-known characters, WB accused Midjourney of willfully allowing WB characters to be generated in order to “generate more money for Midjourney” to potentially compete in streaming markets.

Midjourney will remove protections “on a whim”

As Midjourney’s efforts to expand its features escalate, WB claimed that trust is lost. Even if Midjourney takes steps to address rightsholders’ concerns, WB argued, studios must remain watchful of every upgrade, since apparently, “Midjourney can and will remove copyright protection measures on a whim.”

The complaint noted that Midjourney just this week announced “plans to continue deploying new versions” of its image generator, promising to make it easier to search for and save popular artists’ styles—updating a feature that many artists loathe.

Without an injunction, Midjourney’s alleged infringement could interfere with WB’s licensing opportunities for its content, while “illegally and unfairly” diverting customers who buy WB products like posters, wall art, prints, and coloring books, the complaint said.

Perhaps Midjourney’s strongest defense could be efforts to prove that WB benefits from its image generator. In the Disney/Universal lawsuit, Midjourney pointed out that studios “benefit from generative AI models,” claiming that “many dozens of Midjourney subscribers are associated with” Disney and Universal corporate email addresses. If WB corporate email addresses are found among subscribers, Midjourney could claim that WB is trying to “have it both ways” by “seeking to profit” from AI tools while preventing Midjourney and its subscribers from doing the same.

McCarthy suggested it’s too soon to say how the WB battle will play out, but Midjourney’s response will reveal how it intends to shift tactics to avoid courts potentially picking apart its defense of its training data, while keeping any blame for copyright-infringing outputs squarely on users.

“As with the Disney/Universal lawsuit, we need to wait to see how Midjourney answers these latest allegations,” McCarthy said. “It is definitely an interesting development that will have widespread implications for many sectors of our society.”

Photo of Ashley Belanger

Ashley is a senior policy reporter for Ars Technica, dedicated to tracking social impacts of emerging policies and new technologies. She is a Chicago-based journalist with 20 years of experience.

Warner Bros. sues Midjourney to stop AI knockoffs of Batman, Scooby-Doo Read More »

midjourney-introduces-first-new-image-generation-model-in-over-a-year

Midjourney introduces first new image generation model in over a year

AI image generator Midjourney released its first new model in quite some time today; dubbed V7, it’s a ground-up rework that is available in alpha to users now.

There are two areas of improvement in V7: the first is better images, and the second is new tools and workflows.

Starting with the image improvements, V7 promises much higher coherence and consistency for hands, fingers, body parts, and “objects of all kinds.” It also offers much more detailed and realistic textures and materials, like skin wrinkles or the subtleties of a ceramic pot.

Those details are often among the most obvious telltale signs that an image has been AI-generated. To be clear, Midjourney isn’t claiming to have made advancements that make AI images unrecognizable to a trained eye; it’s just saying that some of the messiness we’re accustomed to has been cleaned up to a significant degree.

V7 can reproduce materials and lighting situations that V6.1 usually couldn’t. Credit: Xeophon

On the features side, the star of the show is the new “Draft Mode.” On its various communication channels with users (a blog, Discord, X, and so on), Midjourney says that “Draft mode is half the cost and renders images at 10 times the speed.”

However, the images are of lower quality than what you get in the other modes, so this is not intended to be the way you produce final images. Rather, it’s meant to be a way to iterate and explore to find the desired result before switching modes to make something ready for public consumption.

V7 comes with two modes: turbo and relax. Turbo generates final images quickly but is twice as expensive in terms of credit use, while relax mode takes its time but is half as expensive. There is currently no standard mode for V7, strangely; Midjourney says that’s coming later, as it needs some more time to be refined.

Midjourney introduces first new image generation model in over a year Read More »

new-ai-text-diffusion-models-break-speed-barriers-by-pulling-words-from-noise

New AI text diffusion models break speed barriers by pulling words from noise

These diffusion models maintain performance faster than or comparable to similarly sized conventional models. LLaDA’s researchers report their 8 billion parameter model performs similarly to LLaMA3 8B across various benchmarks, with competitive results on tasks like MMLU, ARC, and GSM8K.

However, Mercury claims dramatic speed improvements. Their Mercury Coder Mini scores 88.0 percent on HumanEval and 77.1 percent on MBPP—comparable to GPT-4o Mini—while reportedly operating at 1,109 tokens per second compared to GPT-4o Mini’s 59 tokens per second. This represents roughly a 19x speed advantage over GPT-4o Mini while maintaining similar performance on coding benchmarks.

Mercury’s documentation states its models run “at over 1,000 tokens/sec on Nvidia H100s, a speed previously possible only using custom chips” from specialized hardware providers like Groq, Cerebras, and SambaNova. When compared to other speed-optimized models, the claimed advantage remains significant—Mercury Coder Mini is reportedly about 5.5x faster than Gemini 2.0 Flash-Lite (201 tokens/second) and 18x faster than Claude 3.5 Haiku (61 tokens/second).

Opening a potential new frontier in LLMs

Diffusion models do involve some trade-offs. They typically need multiple forward passes through the network to generate a complete response, unlike traditional models that need just one pass per token. However, because diffusion models process all tokens in parallel, they achieve higher throughput despite this overhead.

Inception thinks the speed advantages could impact code completion tools where instant response may affect developer productivity, conversational AI applications, resource-limited environments like mobile applications, and AI agents that need to respond quickly.

If diffusion-based language models maintain quality while improving speed, they might change how AI text generation develops. So far, AI researchers have been open to new approaches.

Independent AI researcher Simon Willison told Ars Technica, “I love that people are experimenting with alternative architectures to transformers, it’s yet another illustration of how much of the space of LLMs we haven’t even started to explore yet.”

On X, former OpenAI researcher Andrej Karpathy wrote about Inception, “This model has the potential to be different, and possibly showcase new, unique psychology, or new strengths and weaknesses. I encourage people to try it out!”

Questions remain about whether larger diffusion models can match the performance of models like GPT-4o and Claude 3.7 Sonnet, produce reliable results without many confabulations, and if the approach can handle increasingly complex simulated reasoning tasks. For now, these models may offer an alternative for smaller AI language models that doesn’t seem to sacrifice capability for speed.

You can try Mercury Coder yourself on Inception’s demo site, and you can download code for LLaDA or try a demo on Hugging Face.

New AI text diffusion models break speed barriers by pulling words from noise Read More »

ai-company-midjourney-teases-hardware-product-in-a-new-form-factor

AI company Midjourney teases hardware product in a new form factor

the orb —

It hired a hardware chief who previously worked on Apple Vision Pro.

A fantasy drawing of a wizard staring into a glowing orb

Responding to this meme image of a wizard with an orb from the I.C.E. book Middle-earth: Valar and Maiar, Midjourney’s founder joked that the new hardware form factor might be an orb.

I.C.E.

Midjourney, a company best known for its robust AI image-generation tool, has publicly announced that it’s “getting into hardware” and has invited job-seekers to apply to join its new hardware division.

The company shared the announcement on its official X account earlier today.

Midjourney founder David Holz previously worked at a hardware company; he was CTO of Leap Motion. A few months ago, he hired Ahmad Abbas,  whom he worked with at Leap Motion. Abbas also worked at Apple for five years as a hardware manager working on the Vision Pro headset. His LinkedIn profile now lists his current title as “Head of Hardware, Midjourney.”

Nothing is yet known about what kind of device Midjourney will develop, but that X account has posted numerous tweets today that could give Internet sleuths insight into exactly what its plans are. For example, it posted that the device is “not gonna be a pendant” in the wake of a rash of multiple recent failed pendant-like AI hardware devices.

The company tweeted that it has “multiple efforts in flight” when asked for more details about the device and noted that there are “definitely opportunities for more form factors.”

If you really want to stretch, you can look back to the fact that Holz months ago tweeted, “we will make the orb” in response to a fellow X user joking that someone ought to make a device with a spherical form factor inspired by wizards’ spheres from fantasy stories, like Saruman’s palantír from The Lord of the Rings.

In case it’s not obvious, both Midjourney and Holz have been prolific on X with teases and trolls about it to the point that you probably shouldn’t read too much into anything they’ve said beyond the commitment to produce some kind of hardware.

There’s no timeline, either, so it might be a while before we see what happens. At this point, Midjourney is just one of many companies trying to figure out what AI-driven hardware will look like.

AI company Midjourney teases hardware product in a new form factor Read More »

artists-claim-“big”-win-in-copyright-suit-fighting-ai-image-generators

Artists claim “big” win in copyright suit fighting AI image generators

Back to the drawing board —

Artists prepare to take on AI image generators as copyright suit proceeds

Artists claim “big” win in copyright suit fighting AI image generators

Artists defending a class-action lawsuit are claiming a major win this week in their fight to stop the most sophisticated AI image generators from copying billions of artworks to train AI models and replicate their styles without compensating artists.

In an order on Monday, US district judge William Orrick denied key parts of motions to dismiss from Stability AI, Midjourney, Runway AI, and DeviantArt. The court will now allow artists to proceed with discovery on claims that AI image generators relying on Stable Diffusion violate both the Copyright Act and the Lanham Act, which protects artists from commercial misuse of their names and unique styles.

“We won BIG,” an artist plaintiff, Karla Ortiz, wrote on X (formerly Twitter), celebrating the order. “Not only do we proceed on our copyright claims,” but “this order also means companies who utilize” Stable Diffusion models and LAION-like datasets that scrape artists’ works for AI training without permission “could now be liable for copyright infringement violations, amongst other violations.”

Lawyers for the artists, Joseph Saveri and Matthew Butterick, told Ars that artists suing “consider the Court’s order a significant step forward for the case,” as “the Court allowed Plaintiffs’ core copyright-infringement claims against all four defendants to proceed.”

Stability AI was the only company that responded to Ars’ request to comment, but it declined to comment.

Artists prepare to defend their livelihoods from AI

To get to this stage of the suit, artists had to amend their complaint to better explain exactly how AI image generators work to allegedly train on artists’ images and copy artists’ styles.

For example, they were told that if they “contend Stable Diffusion contains ‘compressed copies’ of the Training Images, they need to define ‘compressed copies’ and explain plausible facts in support. And if plaintiffs’ compressed copies theory is based on a contention that Stable Diffusion contains mathematical or statistical methods that can be carried out through algorithms or instructions in order to reconstruct the Training Images in whole or in part to create the new Output Images, they need to clarify that and provide plausible facts in support,” Orrick wrote.

To keep their fight alive, the artists pored through academic articles to support their arguments that “Stable Diffusion is built to a significant extent on copyrighted works and that the way the product operates necessarily invokes copies or protected elements of those works.” Orrick agreed that their amended complaint made plausible inferences that “at this juncture” is enough to support claims “that Stable Diffusion by operation by end users creates copyright infringement and was created to facilitate that infringement by design.”

“Specifically, the Court found Plaintiffs’ theory that image-diffusion models like Stable Diffusion contain compressed copies of their datasets to be plausible,” Saveri and Butterick’s statement to Ars said. “The Court also found it plausible that training, distributing, and copying such models constitute acts of copyright infringement.”

Not all of the artists’ claims survived, with Orrick granting motions to dismiss claims alleging that AI companies removed content management information from artworks in violation of the Digital Millennium Copyright Act (DMCA). Because artists failed to show evidence of defendants altering or stripping this information, they must permanently drop the DMCA claims.

Part of Orrick’s decision on the DMCA claims, however, indicates that the legal basis for dismissal is “unsettled,” with Orrick simply agreeing with Stability AI’s unsettled argument that “because the output images are admittedly not identical to the Training Images, there can be no liability for any removal of CMI that occurred during the training process.”

Ortiz wrote on X that she respectfully disagreed with that part of the decision but expressed enthusiasm that the court allowed artists to proceed with false endorsement claims, alleging that Midjourney violated the Lanham Act.

Five artists successfully argued that because “their names appeared on the list of 4,700 artists posted by Midjourney’s CEO on Discord” and that list was used to promote “the various styles of artistic works its AI product could produce,” this plausibly created confusion over whether those artists had endorsed Midjourney.

“Whether or not a reasonably prudent consumer would be confused or misled by the Names List and showcase to conclude that the included artists were endorsing the Midjourney product can be tested at summary judgment,” Orrick wrote. “Discovery may show that it is or that is it not.”

While Orrick agreed with Midjourney that “plaintiffs have no protection over ‘simple, cartoony drawings’ or ‘gritty fantasy paintings,'” artists were able to advance a “trade dress” claim under the Lanham Act, too. This is because Midjourney allegedly “allows users to create works capturing the ‘trade dress of each of the Midjourney Named Plaintiffs [that] is inherently distinctive in look and feel as used in connection with their artwork and art products.'”

As discovery proceeds in the case, artists will also have an opportunity to amend dismissed claims of unjust enrichment. According to Orrick, their next amended complaint will be their last chance to prove that AI companies have “deprived plaintiffs ‘the benefit of the value of their works.'”

Saveri and Butterick confirmed that “though the Court dismissed certain supplementary claims, Plaintiffs’ central claims will now proceed to discovery and trial.” On X, Ortiz suggested that the artists’ case is “now potentially one of THE biggest copyright infringement and trade dress cases ever!”

“Looking forward to the next stage of our fight!” Ortiz wrote.

Artists claim “big” win in copyright suit fighting AI image generators Read More »

image-scraping-midjourney-bans-rival-ai-firm-for-scraping-images

Image-scraping Midjourney bans rival AI firm for scraping images

Irony lives —

Midjourney pins blame for 24-hour outage on “bot-net like” activity from Stability AI employee.

A burglar with flash light and papers in business office. Exactly like scraping files from Discord.

Enlarge / A burglar with a flashlight and papers in a business office—exactly like scraping files from Discord.

On Wednesday, Midjourney banned all employees from image synthesis rival Stability AI from its service indefinitely after it detected “botnet-like” activity suspected to be a Stability employee attempting to scrape prompt and image pairs in bulk. Midjourney advocate Nick St. Pierre tweeted about the announcement, which came via Midjourney’s official Discord channel.

Prompts are the written instructions (like “a cat in a car holding a can of a beer”) used by generative AI models such as Midjourney and Stability AI’s Stable Diffusion 3 (SD3) to synthesize images. Having prompt and image pairs could potentially help the training or fine-tuning of a rival AI image generator model.

Bot activity that took place around midnight on March 2 caused a 24-hour outage for the commercial image generator service. Midjourney linked several paid accounts with a Stability AI data team employee trying to “grab prompt and image pairs.” Midjourney then made a decision to ban all Stability AI employees from the service indefinitely. It also indicated a new policy: “aggressive automation or taking down the service results in banning all employees of the responsible company.”

A screenshot of the

Enlarge / A screenshot of the “Midjourney Office Hours” notes posted on March 6, 2024.

Midjourney

Siobhan Ball of The Mary Sue found it ironic that a company like Midjourney, which built its AI image synthesis models using training data scraped off the Internet without seeking permission, would be sensitive about having its own material scraped. “It turns out that generative AI companies don’t like it when you steal, sorry, scrape, images from them. Cue the world’s smallest violin.”

Users of Midjourney pay a monthly subscription fee to access an AI image generator that turns written prompts into lush computer-synthesized images. The bot that makes them was trained on millions of artistic works created by humans—it’s a practice that has been claimed to be disrespectful to artists. “Words can’t describe how dehumanizing it is to see my name used 20,000+ times in MidJourney,” wrote artist Jingna Zhang in a recent viral tweet. “My life’s work and who I am—reduced to meaningless fodder for a commercial image slot machine.”

Stability responds

Shortly after the news of the ban emerged, Stability AI CEO Emad Mostaque said that he was looking into it and claimed that whatever happened was not intentional. He also said it would be great if Midjourney reached out to him directly. In a reply on X, Midjourney CEO David Holz wrote, “sent you some information to help with your internal investigation.”

In a text message exchange with Ars Technica, Mostaque said, “We checked and there were no images scraped there, there was a bot run by a team member that was collecting prompts for a personal project though. We aren’t sure how that would cause a gallery site outage but are sorry if it did, Midjourney is great.”

Besides, Mostaque says, his company doesn’t need Midjourney’s data anyway. “We have been using synthetic & other data given SD3 outperforms all other models,” he wrote on X. In conversation with Ars, Mostaque similarly wanted to contrast his company’s data collection techniques with those of his rival. “We only scrape stuff that has proper robots.txt and is permissive,” Mostaque says. “And also did full opt-out for [Stable Diffusion 3] and Stable Cascade leveraging work Spawning did.”

When asked about Stability’s relationship with Midjourney these days, Mostaque played down the rivalry. “No real overlap, we get on fine though,” he told Ars and emphasized a key link in their histories. “I funded Midjourney to get [them] off the ground with a cash grant to cover [Nvidia] A100s for the beta.”

Image-scraping Midjourney bans rival AI firm for scraping images Read More »

scientists-aghast-at-bizarre-ai-rat-with-huge-genitals-in-peer-reviewed-article

Scientists aghast at bizarre AI rat with huge genitals in peer-reviewed article

AI gone wild —

It’s unclear how such egregiously bad images made it through peer-review.

An actual laboratory rat, who is intrigued.

Enlarge / An actual laboratory rat, who is intrigued.

Appall and scorn ripped through scientists’ social media networks Thursday as several egregiously bad AI-generated figures circulated from a peer-reviewed article recently published in a reputable journal. Those figures—which the authors acknowledge in the article’s text were made by Midjourney—are all uninterpretable. They contain gibberish text and, most strikingly, one includes an image of a rat with grotesquely large and bizarre genitals, as well as a text label of “dck.”

AI-generated Figure 1 of the paper. This image is supposed to show spermatogonial stem cells isolated, purified, and cultured from rat testes.

Enlarge / AI-generated Figure 1 of the paper. This image is supposed to show spermatogonial stem cells isolated, purified, and cultured from rat testes.

On Thursday, the publisher of the review article, Frontiers, posted an “expression of concern,” noting that it is aware of concerns regarding the published piece. “An investigation is currently being conducted and this notice will be updated accordingly after the investigation concludes,” the publisher wrote.

The article in question is titled “Cellular functions of spermatogonial stem cells in relation to JAK/STAT signaling pathway,” which was authored by three researchers in China, including the corresponding author Dingjun Hao of Xi’an Honghui Hospital. It was published online Tuesday in the journal Frontiers in Cell and Developmental Biology.

Frontiers did not immediately respond to Ars’ request for comment, but we will update this post with any response.

The first figure in the paper, the one containing the rat, drew immediate attention as scientists began widely sharing it and commenting on it on social media platforms, including Bluesky and the platform formerly known as Twitter. From a distance, the anatomical image is clearly all sorts of wrong. But, looking closer only reveals more flaws, including the labels “dissilced,” Stemm cells,” “iollotte sserotgomar,” and “dck.” Many researchers expressed surprise and dismay that such a blatantly bad AI-generated image could pass through the peer-review system and whatever internal processing is in place at the journal.

Figure 2 is supposed to be a diagram of the JAK-STAT signaling pathway.

Enlarge / Figure 2 is supposed to be a diagram of the JAK-STAT signaling pathway.

But the rat’s package is far from the only problem. Figure 2 is less graphic but equally mangled. While it’s intended to be a diagram of a complex signaling pathway, it instead is a jumbled mess. One scientific integrity expert questioned whether it provide an overly complicated explanation of “how to make a donut with colorful sprinkles.” Like the first image, the diagram is rife with nonsense text and baffling images. Figure 3 is no better, offering a collage of small circular images that are densely annotated with gibberish. The image is supposed to provide visual representations of how the signaling pathway from Figure 2 regulates the biological properties of spermatogonial stem cells.

Some scientists online questioned whether the text was also AI-generated. One user noted that AI detection software determined that it was likely to be AI-generated; however, as Ars has reported previously, such software is unreliable.

Figure 3 is supposed to show the regulation of biological properties of spermatogonial stem cells by JAK/STAT signaling pathway.

Enlarge / Figure 3 is supposed to show the regulation of biological properties of spermatogonial stem cells by JAK/STAT signaling pathway.

The images, while egregious examples, highlight a growing problem in scientific publishing. A scientist’s success relies heavily on their publication record, with a large volume of publications, frequent publishing, and articles appearing in top-tier journals, all of which earn scientists more prestige. The system incentivizes less-than-scrupulous researchers to push through low-quality articles, which, in the era of AI chatbots, could potentially be generated with the help of AI. Researchers worry that the growing use of AI will make published research less trustworthy. As such, research journals have recently set new authorship guidelines for AI-generated text to try to address the problem. But for now, as the Frontiers article shows, there are clearly some gaps.

Scientists aghast at bizarre AI rat with huge genitals in peer-reviewed article Read More »

how-much-detail-is-too-much?-midjourney-v6-attempts-to-find-out

How much detail is too much? Midjourney v6 attempts to find out

An AI-generated image of a

Enlarge / An AI-generated image of a “Beautiful queen of the universe looking at the camera in sci-fi armor, snow and particles flowing, fire in the background” created using alpha Midjourney v6.

Midjourney

In December, just before Christmas, Midjourney launched an alpha version of its latest image synthesis model, Midjourney v6. Over winter break, Midjourney fans put the new AI model through its paces, with the results shared on social media. So far, fans have noted much more detail than v5.2 (the current default) and a different approach to prompting. Version 6 can also handle generating text in a rudimentary way, but it’s far from perfect.

“It’s definitely a crazy update, both in good and less good ways,” artist Julie Wieland, who frequently shares her Midjourney creations online, told Ars. “The details and scenery are INSANE, the downside (for now) are that the generations are very high contrast and overly saturated (imo). Plus you need to kind of re-adapt and rethink your prompts, working with new structures and now less is kind of more in terms of prompting.”

At the same time, critics of the service still bristle about Midjourney training its models using human-made artwork scraped from the web and obtained without permission—a controversial practice common among AI model trainers we have covered in detail in the past. We’ve also covered the challenges artists might face in the future from these technologies elsewhere.

Too much detail?

With AI-generated detail ramping up dramatically between major Midjourney versions, one could wonder if there is ever such as thing as “too much detail” in an AI-generated image. Midjourney v6 seems to be testing that very question, creating many images that sometimes seem more detailed than reality in an unrealistic way, although that can be modified with careful prompting.

  • An AI-generated image of a nurse in the 1960s created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of an astronaut created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of a “juicy flaming cheeseburger” created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of “a handsome Asian man” created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of an “Apple II” sitting on a desk in the 1980s created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of a “photo of a cat in a car holding a can of beer” created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of a forest path created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of a woman among flowers created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of “a plate of delicious pickles” created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of a barbarian beside a TV set that says “Ars Technica” on it created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of “Abraham Lincoln holding a sign that says Ars Technica” created using alpha Midjourney v6.

    Midjourney

  • An AI-generated image of Mickey Mouse holding a machine gun created using alpha Midjourney v6.

    Midjourney

In our testing of version 6 (which can currently be invoked with the “–v 6.0” argument at the end of a prompt), we noticed times when the new model appeared to produce worse results than v5.2, but Midjourney veterans like Wieland tell Ars that those differences are largely due to the different way that v6.0 interprets prompts. That is something Midjourney is continuously updating over time. “Old prompts sometimes work a bit better than the day they released it,” Wieland told us.

How much detail is too much? Midjourney v6 attempts to find out Read More »

a-song-of-hype-and-fire:-the-10-biggest-ai-stories-of-2023

A song of hype and fire: The 10 biggest AI stories of 2023

An illustration of a robot accidentally setting off a mushroom cloud on a laptop computer.

Getty Images | Benj Edwards

“Here, There, and Everywhere” isn’t just a Beatles song. It’s also a phrase that recalls the spread of generative AI into the tech industry during 2023. Whether you think AI is just a fad or the dawn of a new tech revolution, it’s been impossible to deny that AI news has dominated the tech space for the past year.

We’ve seen a large cast of AI-related characters emerge that includes tech CEOs, machine learning researchers, and AI ethicists—as well as charlatans and doomsayers. From public feedback on the subject of AI, we’ve heard that it’s been difficult for non-technical people to know who to believe, what AI products (if any) to use, and whether we should fear for our lives or our jobs.

Meanwhile, in keeping with a much-lamented trend of 2022, machine learning research has not slowed down over the past year. On X, former Biden administration tech advisor Suresh Venkatasubramanian wrote, “How do people manage to keep track of ML papers? This is not a request for support in my current state of bewilderment—I’m genuinely asking what strategies seem to work to read (or “read”) what appear to be 100s of papers per day.”

To wrap up the year with a tidy bow, here’s a look back at the 10 biggest AI news stories of 2023. It was very hard to choose only 10 (in fact, we originally only intended to do seven), but since we’re not ChatGPT generating reams of text without limit, we have to stop somewhere.

Bing Chat “loses its mind”

Aurich Lawson | Getty Images

In February, Microsoft unveiled Bing Chat, a chatbot built into its languishing Bing search engine website. Microsoft created the chatbot using a more raw form of OpenAI’s GPT-4 language model but didn’t tell everyone it was GPT-4 at first. Since Microsoft used a less conditioned version of GPT-4 than the one that would be released in March, the launch was rough. The chatbot assumed a temperamental personality that could easily turn on users and attack them, tell people it was in love with them, seemingly worry about its fate, and lose its cool when confronted with an article we wrote about revealing its system prompt.

Aside from the relatively raw nature of the AI model Microsoft was using, at fault was a system where very long conversations would push the conditioning system prompt outside of its context window (like a form of short-term memory), allowing all hell to break loose through jailbreaks that people documented on Reddit. At one point, Bing Chat called me “the culprit and the enemy” for revealing some of its weaknesses. Some people thought Bing Chat was sentient, despite AI experts’ assurances to the contrary. It was a disaster in the press, but Microsoft didn’t flinch, and it ultimately reigned in some of Bing Chat’s wild proclivities and opened the bot widely to the public. Today, Bing Chat is now known as Microsoft Copilot, and it’s baked into Windows.

US Copyright Office says no to AI copyright authors

An AI-generated image that won a prize at the Colorado State Fair in 2022, later denied US copyright registration.

Enlarge / An AI-generated image that won a prize at the Colorado State Fair in 2022, later denied US copyright registration.

Jason M. Allen

In February, the US Copyright Office issued a key ruling on AI-generated art, revoking the copyright previously granted to the AI-assisted comic book “Zarya of the Dawn” in September 2022. The decision, influenced by the revelation that the images were created using the AI-powered Midjourney image generator, stated that only the text and arrangement of images and text by Kashtanova were eligible for copyright protection. It was the first hint that AI-generated imagery without human-authored elements could not be copyrighted in the United States.

This stance was further cemented in August when a US federal judge ruled that art created solely by AI cannot be copyrighted. In September, the US Copyright Office rejected the registration for an AI-generated image that won a Colorado State Fair art contest in 2022. As it stands now, it appears that purely AI-generated art (without substantial human authorship) is in the public domain in the United States. This stance could be further clarified or changed in the future by judicial rulings or legislation.

A song of hype and fire: The 10 biggest AI stories of 2023 Read More »