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What comes next for AI copyright lawsuits?

Last week, the technology companies Anthropic and Meta each won landmark victories in two separate court cases that examined whether or not the firms had violated copyright when they trained their large language models on copyrighted books without permission. The rulings are the first we’ve seen to come out of copyright cases of this kind. This is a big deal!

The use of copyrighted works to train models is at the heart of a bitter battle between tech companies and content creators. That battle is playing out in technical arguments about what does and doesn’t count as fair use of a copyrighted work. But it is ultimately about carving out a space in which human and machine creativity can continue to coexist.

There are dozens of similar copyright lawsuits working through the courts right now, with cases filed against all the top players—not only Anthropic and Meta but Google, OpenAI, Microsoft, and more. On the other side, plaintiffs range from individual artists and authors to large companies like Getty and the New York Times.

The outcomes of these cases are set to have an enormous impact on the future of AI. In effect, they will decide whether or not model makers can continue ordering up a free lunch. If not, they will need to start paying for such training data via new kinds of licensing deals—or find new ways to train their models. Those prospects could upend the industry.

And that’s why last week’s wins for the technology companies matter. So: Cases closed? Not quite. If you drill into the details, the rulings are less cut-and-dried than they seem at first. Let’s take a closer look.

In both cases, a group of authors (the Anthropic suit was a class action; 13 plaintiffs sued Meta, including high-profile names such as Sarah Silverman and Ta-Nehisi Coates) set out to prove that a technology company had violated their copyright by using their books to train large language models. And in both cases, the companies argued that this training process counted as fair use, a legal provision that permits the use of copyrighted works for certain purposes.  

There the similarities end. Ruling in Anthropic’s favor, senior district judge William Alsup argued on June 23 that the firm’s use of the books was legal because what it did with them was transformative, meaning that it did not replace the original works but made something new from them. “The technology at issue was among the most transformative many of us will see in our lifetimes,” Alsup wrote in his judgment.

In Meta’s case, district judge Vince Chhabria made a different argument. He also sided with the technology company, but he focused his ruling instead on the issue of whether or not Meta had harmed the market for the authors’ work. Chhabria said that he thought Alsup had brushed aside the importance of market harm. “The key question in virtually any case where a defendant has copied someone’s original work without permission is whether allowing people to engage in that sort of conduct would substantially diminish the market for the original,” he wrote on June 25.

Same outcome; two very different rulings. And it’s not clear exactly what that means for the other cases. On the one hand, it bolsters at least two versions of the fair-use argument. On the other, there’s some disagreement over how fair use should be decided.

But there are even bigger things to note. Chhabria was very clear in his judgment that Meta won not because it was in the right, but because the plaintiffs failed to make a strong enough argument. “In the grand scheme of things, the consequences of this ruling are limited,” he wrote. “This is not a class action, so the ruling only affects the rights of these 13 authors—not the countless others whose works Meta used to train its models. And, as should now be clear, this ruling does not stand for the proposition that Meta’s use of copyrighted materials to train its language models is lawful.” That reads a lot like an invitation for anyone else out there with a grievance to come and have another go.   

And neither company is yet home free. Anthropic and Meta both face wholly separate allegations that not only did they train their models on copyrighted books, but the way they obtained those books was illegal because they downloaded them from pirated databases. Anthropic now faces another trial over these piracy claims. Meta has been ordered to begin a discussion with its accusers over how to handle the issue.

So where does that leave us? As the first rulings to come out of cases of this type, last week’s judgments will no doubt carry enormous weight. But they are also the first rulings of many. Arguments on both sides of the dispute are far from exhausted.

“These cases are a Rorschach test in that either side of the debate will see what they want to see out of the respective orders,” says Amir Ghavi, a lawyer at Paul Hastings who represents a range of technology companies in ongoing copyright lawsuits. He also points out that the first cases of this type were filed more than two years ago: “Factoring in likely appeals and the other 40+ pending cases, there is still a long way to go before the issue is settled by the courts.”

“I’m disappointed at these rulings,” says Tyler Chou, founder and CEO of Tyler Chou Law for Creators, a firm that represents some of the biggest names on YouTube. “I think plaintiffs were out-gunned and didn’t have the time or resources to bring the experts and data that the judges needed to see.”

But Chou thinks this is just the first round of many. Like Ghavi, she thinks these decisions will go to appeal. And after that we’ll see cases start to wind up in which technology companies have met their match: “Expect the next wave of plaintiffs—publishers, music labels, news organizations—to arrive with deep pockets,” she says. “That will be the real test of fair use in the AI era.”

But even when the dust has settled in the courtrooms—what then? The problem won’t have been solved. That’s because the core grievance of creatives, whether individuals or institutions, is not really that their copyright has been violated—copyright is just the legal hammer they have to hand. Their real complaint is that their livelihoods and business models are at risk of being undermined. And beyond that: when AI slop devalues creative effort, will people’s motivations for putting work out into the world start to fall away?

In that sense, these legal battles are set to shape all our futures. There’s still no good solution on the table for this wider problem. Everything is still to play for.

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

This story has been edited to add comments from Tyler Chou.

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Google DeepMind Unveils AlphaGenome: a Unified AI Model for High-Resolution Genome Interpretation

Google DeepMind has announced the release of AlphaGenome, a new AI model designed to predict how genetic variants affect gene regulation across the entire genome. It represents a significant advancement in computational genomics by integrating long-range sequence context with base-pair resolution in a single, general-purpose architecture.

By Robert Krzaczyński
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Human embryo research: how to move towards a 28-day limit

Nature, Published online: 01 July 2025; doi:10.1038/d41586-025-02016-9

The decades-old limit on how long human embryos can be grown in culture is under debate. A new road map outlines how to extend the length of culture responsibly.
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ProtonBase王绍翾:PostgreSQL正成为AI时代的数据接口标准

36氪获悉,近日,ProtonBase创始人王绍翾表示,PostgreSQL正成为AI时代的数据接口标准,未来企业只需对接两类API——Data API与AI API,即可完成从数据到智能的系统闭环。同时他表示,Data Warebase以PostgreSQL为统一生态基础,融合行列混存、多模索引、存算分离等核心技术,配合实时增量物化视图,彻底终结流批分离时代,构建面向AI的原生数据引擎。
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OWASP Launches AI Testing Guide to Address Security, Bias, and Risk in AI Systems

The OWASP Foundation has officially introduced the AI Testing Guide (AITG), a new open-source initiative aimed at assisting organizations in the systematic testing and security of artificial intelligence systems. This guide serves as a fundamental resource for developers, testers, risk officers, and cybersecurity professionals, promoting best practices in AI system security.

By Robert Krzaczyński
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Obesity influences the biological response to injury: a multi-omics analysis

Eur J Trauma Emerg Surg. 2025 Jun 27;51(1):238. doi: 10.1007/s00068-025-02922-7.

ABSTRACT

PURPOSE: Obesity is a prevalent disease, but its influence on post-injury biology remains unclear. In this study, we aimed to characterize the independent effect of obesity on the proteomic and metabolomic signatures of trauma.

METHODS: Plasma was obtained on arrival from injured patients at a Level 1 Trauma Center and analyzed with modern mass spectrometry-based proteomics and metabolomics. Samples obtained after start of transfusion were excluded. Patients were stratified by "obesity" (body mass index [BMI]≥30 kg/m2) vs. "no obesity" (BMI < 30 kg/m2). In sub-group analyses, patients were sub-stratified by Low Injury/Low Shock (ISS < 15, base excess [BE]≥-6mEq/L) and High Injury/High Shock (ISS≥15, BE<-6). Multiple regression was used to adjust the omics data for significant covariates prior to performing ome-wide analyses.

RESULTS: There were 183 patients included (48 [26%] with obesity and 135 [74%] without). After covariate-adjustment, multiple proteins and metabolites were correlated with ISS and/or BE and were significantly different from Low Injury/Low Shock to High Injury/High Shock only in patients with obesity. This obesity-specific omics response to injury was characterized by increased inflammation, hypercoagulability, altered nitrogen metabolism, and mitochondrial dysfunction. Patients with obesity also exhibited excessive injury-provoked tissue destruction and organ damage compared to patients without obesity. In injury severity-adjusted analyses, the obesity signature consistently displayed markers of hemolysis, likely reflecting a pre-injury hemolytic propensity.

CONCLUSION: Obesity is independently associated with altered post-injury biology, which likely underlies unique pathology in trauma patients with obesity. Identifying this aberrant response to injury is the first step in developing personalized therapies for this patient population.

PMID:40576654 | DOI:10.1007/s00068-025-02922-7

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This AI-powered startup studio plans to launch 100,000 companies a year — really

Henrik Werdelin has spent the last 15 years helping entrepreneurs build big brands like Barkbox through his startup studio Prehype. Now, with his new, New York-based venture Audos, he’s betting that AI can help him scale that process from “tens” of startups a year to “hundreds of thousands” of aspiring business owners. The timing certainly […]
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Cloudflare Expands AI Capabilities with Launch of Thirteen New MCP Servers

Cloudflare has unveiled thirteen new Model Context Protocol (MCP) servers, enhancing the integration of AI agents with its platform. These servers allow AI clients to interact with Cloudflare's services through natural language, streamlining tasks such as debugging, data analysis, and security monitoring.

By Craig Risi
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中信证券:Web3监管生态完善加速,有望提升香港在全球数字资产生态中的竞争力

36氪获悉,中信证券指出,6月26日中国香港政府发表的《香港数字资产发展政策宣言2.0》延续了2022年1.0的政策导向,代表了香港成为全球数字资产领域领导者的决心。展望未来,港府正为进一步创新及市场发展奠定基础,我们认为凭借监管机构、业界及社会的共同努力,香港数字资产监管架构及生态正在加速完善,对全球Web3人才、资金及项目吸引力有望大幅提升,有望引领香港从传统国际金融中心,迈向全球领先数字资产创新中心,巩固其作为国际金融中心、人民币国际化桥头堡和超级联系人的战略地位。
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Gene Expression Analysis and Validation of a Novel Biomarker Signature for Early-Stage Lung Adenocarcinoma

Biomolecules. 2025 May 31;15(6):803. doi: 10.3390/biom15060803.

ABSTRACT

Lung cancer is responsible for 2.21 million annual cancer cases and is the leading worldwide cause of cancer-related deaths. Specifically, lung adenocarcinoma (LUAD) is the most prevalent lung cancer subtype resulting from genetic causes; LUAD has a 15% patient survival rate due to it commonly being detected in its advanced stages. This study aimed to identify a novel biomarker signature of early-stage LUAD utilizing gene expression analysis of human lung tissue samples. Using 22 pairs of LUAD and matched normal lung microarrays, 229 differentially expressed genes were identified. These genes were networked for their protein-protein interactions, and 44 hub genes were determined from protein essentiality. Survival analysis of 478 LUAD patient samples identified four statistically significant candidates. These candidate genes' expression profiles were validated from GTEx and TCGA (347 normal, 483 LUAD samples); immunohistochemistry validated the subsequent protein presence. Through intensive bioinformatic identification and multiple validations of the four-biomarker gene signature, AGER, MGP, and PECAM1 were identified as downregulated in LUAD; SLC2A1 was identified as upregulated in LUAD. These four biologically significant genes are involved in tumorigenesis and poor LUAD prognosis, meriting their use as a clinical biomarker signature and therapeutic targets for early-stage LUAD.

PMID:40563443 | PMC:PMC12191159 | DOI:10.3390/biom15060803

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创新药激战,资金借道ETF“越跌越买”

近一周多以来,国内创新药板块结束此前单边上涨行情,转而进入震荡。然而,场内资金却呈现出“越跌越买”的迹象。业内人士认为,创新药研发本身具有高度不确定性,尤其在当前部分个股估值已较高的情况下,任何瑕疵都可能被放大并导致股价回调。具有更高置信度、更优竞争格局、更完备商业逻辑的创新药企业才是具备更好投资逻辑的标的。(中证网)
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Spatial Proteomics and Transcriptomics Reveal Early Immune Cell Organization in Pancreatic Intraepithelial Neoplasia

JCI Insight. 2025 Jun 26:e191595. doi: 10.1172/jci.insight.191595. Online ahead of print.

ABSTRACT

Pancreatic ductal adenocarcinoma (PDAC) has a poor survival rate due to late detection. PDAC arises from precursor microscopic lesions, termed pancreatic intraepithelial neoplasia (PanIN), that develop at least a decade before overt disease--this provides an opportunity to intercept PanIN-to-PDAC progression. However, immune interception strategies require full understanding of PanIN and PDAC cellular architecture. Surgical specimens containing PanIN and PDAC lesions from a unique cohort of five treatment-naïve patients with PDAC were surveyed using spatial-omics (proteomic and transcriptomic). Findings were corroborated by spatial proteomics of PanIN and PDAC from tamoxifen-inducible KPC (tiKPC) mice. We uncovered the organization of lymphoid cells into tertiary lymphoid structures (TLSs) adjacent to PanIN lesions. These TLSs lacked CD21+CD23+ B cells compared to more mature TLSs near the PDAC border. PanINs harbored mostly CD4+ T cells with fewer Tregs and exhausted T cells than PDAC. Peri-tumoral space was enriched with naïve CD4+ and central memory T cells. These observations highlight the opportunity to modulate the immune microenvironment in PanINs before immune exclusion and immunosuppression emerge during progression into PDAC.

PMID:40569674 | DOI:10.1172/jci.insight.191595

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Extrachromosomal DNA replication and maintenance couple with DNA damage pathway in tumors

This study demonstrates that extrachromosomal DNA (ecDNA) replication induces DNA double-strand breaks and activates the DNA damage response (DDR). The DDR pathways, such as alt-NHEJ, are critical for ecDNA maintenance in tumor cells. Mechanistic insights into ecDNA replication and maintenance unveil a therapeutic approach for treating tumors harboring ecDNA.
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The Download: Google DeepMind’s DNA AI, and heatwaves’ impact on the grid

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Google’s new AI will help researchers understand how our genes work

When scientists first sequenced the human genome in 2003, they revealed the full set of DNA instructions that make a person. But we still didn’t know what all those 3 billion genetic letters actually do.

Now Google’s DeepMind division says it’s made a leap in trying to understand the code with AlphaGenome, an AI model that predicts what effects small changes in DNA will have on an array of molecular processes, such as whether a gene’s activity will go up or down.

It’s just the sort of question biologists regularly assess in lab experiments, and is an attempt to further smooth biologists’ work by answering basic questions about how changing DNA letters alters gene activity and, eventually, how genetic mutations affect our health. Read the full story.

—Antonio Regalado

It’s officially summer, and the grid is stressed

It’s crunch time for the grid this week. Large swaths of the US have reached or exceeded record-breaking temperatures. Spain recently went through a dramatic heat wave too, as did the UK, which is bracing for another one soon.

We rely on electricity to keep ourselves comfortable, and more to the point, safe. These are the moments we design the grid for: when need is at its very highest. The key to keeping everything running smoothly during these times might be just a little bit of flexibility. But demand for electricity from major grids is already peaking, and that’s a good reason to be a little nervous. Read the full story.

—Casey Crownhart

This article is from The Spark, MIT Technology Review’s weekly climate newsletter. To receive it in your inbox every Wednesday, sign up here.

MIT Technology Review Narrated: How did China come to dominate the world of electric cars?

From generous government subsidies to support for lithium batteries, here are the keys to understanding how China managed to build a world-leading industry in electric vehicles.

This is our latest story to be turned into a MIT Technology Review Narrated podcast, which we’re publishing each week on Spotify and Apple Podcasts. Just navigate to MIT Technology Review Narrated on either platform, and follow us to get all our new content as it’s released.

Inside OpenAI’s empire with Karen Hao

Journalist Karen Hao’s newly released book, Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI, tells the story of OpenAI’s rise to power and its far-reaching impact all over the world.

Hao, a former MIT Technology Review senior editor, will join our executive editor Niall Firth in an intimate subscriber-exclusive Roundtable conversation exploring the AI arms race, what it means for all of us, and where it’s headed. Register here to join us at 9am ET on Monday June 30th June.

Special giveaway: Attendees will have the chance to receive a free copy of Hao’s book. See registration form for details.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 Meta has won an AI copyright case against authors
The judge said the authors hadn’t presented enough evidence to back up their case. (TechCrunch)
+ It’s not an entirely decisive victory for Meta, though. (Wired $)
+ It’s the second lawsuit in favor of AI giants this week. (Insider $)

2 The US will stop contributing towards a global vaccine alliance
RFK Jr made unsubstantiated claims about Gavi’s safety record. (WP $)
+ Kennedy’s newly-assembled vaccine panel is reviewing its guidelines for children. (Vox)
+ Experts are worried the once-influential panel will cause irreparable harm. (Ars Technica)
+ How measuring vaccine hesitancy could help health professionals tackle it. (MIT Technology Review)

3 Jeff Bezos is cozying up to Donald Trump
If the Trump administration happens to need a new space company, he’s ready and willing to supply it. (WSJ $)
+ Meanwhile, a private astronaut mission is on its way to the ISS. (CNN)

4 Taiwan is working on suicide drones to defend itself from China
The country is taking a leaf out of Ukraine’s defense book. (FT $)
+ This giant microwave may change the future of war. (MIT Technology Review)

5 Biohackers are feeling emboldened by the Trump administration
They welcome lower barriers to entry for their unorthodox treatments. (Wired $)
+ The first US hub for experimental medical treatments is coming. (MIT Technology Review)

6 A UK cyberattack on a health firm contributed to a patient’s death
The ransomware attack disrupted blood services at London hospitals. (BBC)
+ A Russian hacking gang is to blame for the incident. (Bloomberg $)

7 Take a look inside Amazon’s colossal new data center
Four construction teams are working around the clock to finish it. (NYT $)
+ Generating video is the most energy-intensive AI prompt. (WSJ $)
+ We did the math on AI’s energy footprint. Here’s the story you haven’t heard. (MIT Technology Review)

8 The debate around dark energy is intensifying
New research suggests it evolves over time. But not everyone agrees. (Undark)

9 Trump Mobile is no longer claiming to be ‘made in the USA’
It’s now “designed with American values in mind” instead. (Ars Technica)

10 It’s official: The Social Network is getting a sequel
Zuck goes MAGA? (Deadline $)

Quote of the day

“By training generative AI models with copyrighted works, companies are creating something that often will dramatically undermine the market for those works, and thus dramatically undermine the incentive for human beings to create things the old-fashioned way.”

—US district judge Vince Chhabria, who presided over a copyright lawsuit brought against Meta by a group of authors, warns of the implications of the company’s actions, the Guardian reports.

One more thing

Beyond gene-edited babies: the possible paths for tinkering with human evolution

Editing human embryos is restricted in much of the world—and making an edited baby is fully illegal in most countries surveyed by legal scholars. But advancing technology could render the embryo issue moot.

New ways of adding CRISPR, the revolutionary gene editing tool, to the bodies of people already born could let them easily receive changes as well. It’s possible that in 125 years, many people will be the beneficiaries of multiple rare, but useful, gene mutations currently found in only small segments of the population. 

These could protect us against common diseases and infections, but eventually they could also yield improvements in other traits, such as height, metabolism, or even cognition. But humanity won’t necessarily do things the right way. Read the full story.

—Antonio Regalado

We can still have nice things

A place for comfort, fun and distraction to brighten up your day. (Got any ideas? Drop me a line or skeet ’em at me.)

+ Amazing things are happening in New York’s Central Park.
+ A newly-discovered species of dinosaur has gone on display in London, and it’s small but perfectly formed.
+ Cool—Bob Dylan is releasing a new art book, this time of his drawings.
+ Iron Maiden bassist Steve Harris has a secret second career—as a footballer ⚽

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