European Commission President Ursula von der Leyen on Monday pitched using artificial intelligence to streamline administrative procedures for European businesses as part of a broader push to simplify commerce and boost the EU’s competitiveness.

Speaking at a behind-closed-doors meeting of the European People’s Party in Taormina, Sicily, on Oct. 12, von der Leyen said the Commission would introduce an “only once” approach to business reporting. This would let companies submit information once, with AI helping public administrations use the data.

Von der Leyen argued that European companies repeatedly have to report the same information to public authorities, wasting time that businesses — and Europe — cannot afford, according to a copy of her speech seen by POLITICO.

“And this is why we will introduce ‘Only Once’, to report data only once – and with the help of AI the administration will ensure efficient use,” she said.

The speech marks the first time von der Leyen has explicitly pitched using AI specifically to reduce businesses’ administrative workload.

The “only once” principle itself is not new. The Commission already included it in its EU Inc. proposal presented in March 2026, which aims to create a harmonized corporate framework allowing companies to establish and operate businesses more easily across the bloc.

Under the EU Inc. proposal, companies could submit information once through an EU-level digital interface, with relevant data automatically transmitted between authorities. However, the proposal does not specifically envisage using AI to carry out that process.

Von der Leyen did not provide details on how the AI-supported system would operate, whether it would apply to all businesses or when the Commission intends to introduce it.

In her speech, the Commission president also encouraged governments to get on board with simplification efforts by signing a pact not to add extra requirements when transposing EU-mandated legislation into national regulations.

The central principle, von der Leyen wrote in a letter to EU leaders sent Oct. 12, is that “a rule agreed at European level cannot become more complex when transposed or implemented nationally.”

Under the proposed pact, capitals would have to identify and justify additional national requirements that go beyond EU legislation, including assessing their impact on businesses and the single market.

Zoya Shefatlovich contributed to reporting

Meta’s biggest model rivals the world’s best—and includes new features to keep agents from going off the rails.

If you've been engaging with the American job market lately, first of all, I'm so sorry. Second of all, you've probably run into an AI-powered "automated recruitment agent": in other words, an AI bot that the company makes you do a one-sided interview with as part of the extended humiliation ritual that is landing a job. — Read the rest

The post Messing with AI interviewers is cathartic appeared first on Boing Boing.

In the 1987 Nintendo game “Zelda II: The Adventure of Link,” there is a village you can visit and a home you can enter and a man in a purple shirt you can speak with. But the only thing he says is “I am Error.” I was unexpectedly delighted by this dialogue when I first encountered it on a Gamecube emulator in 2009 (I’m not that old). It felt both meta and existential, or just an amusing bug. It turned out that Error was actually the character’s name, a sort of in-joke slash translation mistake that has since become a meme akin to “Your princess is in another castle” or “It’s dangerous to go alone! Take this” from the original “Legend of Zelda.”

Error is a non-player character (NPC), meaning one that the player can’t control but is usually more than just video game wallpaper. Nearly 40 years later, NPCs have come a long way, with increasingly complex behaviors and conversational dialogue that span far more than just three words. The upcoming game “Grand Theft Auto VI” is rumored to feature unprecedented complex NPCs with rich, fleshed-out personalities and backstories, while video game companies explore using artificial intelligence to let players train NPCs as they interact.

In many ways, NPCs are how many people were first introduced to AI, although in a relatively simplistic form compared to the chatbots and massive data center hogs that we have come to either love or loathe, with little room in between. Years ago, NPCs became an insult spun out of 4Chan, the anonymous online forum, to describe real people who don’t think for themselves and follow a set of cultural programming, usually illustrated by an expressionless gray cartoon avatar. The meme became popularized by chronically online cohorts of Donald Trump supporters during his first presidential term, adjacent to the idea of “Trump derangement syndrome,” both implying that people oppose the MAGA movement out of reflexive mindlessness and not, you know, because they’d looked under the hood and seen it for what it is.

It might just sound like a new way to call someone an idiot, but the NPC label has much deeper, scarier implications. On the surface, it seems like harmless video game humor, and I’m sure we’ve all had encounters with actual humans that resembled interacting with tautological machines programmed with limited responses. “There is weather today. Did you hear about celebrity? Sports.” And certainly social media, now overrun by bots, increasingly feels as if every conversation is between different viruses. These realities don’t map to every experience yet following the NPC slander to its logical conclusion can be dangerous: declaring that a person’s alleged lack of inner thinking is justification for dismissing their humanity. After all, they’re just mindless characters in a video game (and maybe reality is just The Matrix, so whatever), so it’s fine to ignore them, disenfranchise them or abandon them to a grim fate.

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Solipsism, the philosophical position that you can only experience your own consciousness, and therefore other people might not exist or have souls, is not a new idea. René Descartes believed animals were soulless, unthinking automatons, though modern neuroscience has repeatedly disproven that one. (On some level, “I am Error” echoes Descartes’ famous quip about thinking and therefore am-ing.) But now that complex AI has spilled from video games into the mainstream, it’s especially dangerous to see the NPC label has become embedded in mainstream politics, whether explicitly or not.

All this is rooted in Donald Trump’s recent campaign to rebrand artificial intelligence as “super intelligence” via executive order, posting on social media Thursday that “The White House considers anyone that uses the term, ‘Artificial Intelligence,’ as opposed to the highly accepted new and more accurate term, ‘Super Intelligence,’ THE ENEMY!” The idea has quickly been embraced by tech leaders, with SpaceX CEO Elon Musk saying this week that AI is “no more” and promising to change the name of his AI company, SpaceXAI, a subsidiary of SpaceX, to SpaceXSI. More recently, Amazon founder Jeff Bezos shared his approval in a Wednesday interview with Fox News. “I do like SI, because ‘artificial’ is not a very flattering thing. Like, nobody wants an artificial sweetener, artificial flavoring,” Bezos said. “Artificial sort of means fake.”

Yeah, most of us are going to roll our eyes hard at AI being “super,” but if these attempts at normalization gain ground and get pushed to their absurd conclusion, it might end in providing AI more rights than humans. (It’s worth noting Musk invokes the NPC meme often.) It’s right there in the name: “Super intelligence” is better than the old, human kind, so why shouldn’t we give these computer programs rights and defend them from regulation? That’s why stories about AI bots being put into virtual torture chambers aren’t just silly, but foregrounds the false notion that AI is capable of suffering. (Maybe don’t put bots in rooms like that anyway — at the very least, it’s a waste of energy.)

After all, AI will either become the savior of humanity or make humans obsolete, depending on what day of the week it is. Sure, this technology is nifty, even as it comes with an enormous environmental destruction. But we are still a long way from elevating the technology above regular human intelligence. But as in a two-for-one, if you can be sold on the myth that AI is superhuman, it travels along with the idea that regular humans are disposable. In other words, the tech bros are trying to turn us all into NPCs, into Errors, not least through the mass surveillance programs being used to hunt migrants and spy on protesters.

Yes, thankfully, granting above-human rights to supposedly sentient AI sentience is still a fringe idea, but we can see that changing before our eyes, not to mention we already kind of did that with corporations. Recently, OpenAI CEO Sam Altman told POLITICO that the “world should accept some bad things happening for the benefits of this technology and people having the agency.” To further consolidate its power — or at least keep the economy from crashing — Silicon Valley wants us to believe their latest technological invention can think, reason and moralize. It’s no surprise that tech bros were recently exposed trying to convince none other than the pope that AI is conscious, but to his credit, Leo XIV has rejected this idea, saying “Algorithms lack the spark of humanity” and elsewhere warning against “losing our humanity amid a ‘paradise of machines.’”

Spending time with large language models like ChatGPT and knowing a little about how they work, it becomes clear that it’s just a really good computer program that can mirror human expression, sometimes terribly and sometimes surprisingly well. There remains zero hard evidence that AI algorithms are sentient.

Yet an increasing number of people are convinced otherwise, as seen in the controversial AI psychosis phenomenon, which makes me wonder how so many people have persuaded themselves a souped-up version of “I am Error” is a conscious being. It can feel like human interaction typing back and forth with these things, but there are always gaps where you can sense the uncanny valley, where you know it’s just a lot of math and nothing more. Perhaps, if you want to be really cynical about it, you could boil down all of human nature and biology and the emergence of consciousness into “a lot of math” as well. But our brains aren’t computers and physics has yet to fully explain consciousness — that’s why they call it a hard problem. Instead of stewing in this mystery, tech bros have gotten the metaphor backward, assigning personhood to bots while denying it to living humans. Talk about soulless.

The post Billionaires love Trump’s AI rebrand appeared first on Salon.com.

European organizations have to reckon with how to keep up with the modern world without sacrificing sovereignty. Geopolitical instability, tightening regulatory expectations and the rapid adoption of artificial intelligence (AI) mean that, for many organizations, sovereignty now sits alongside resilience and business continuity in board-level risk discussions. The question they can no longer defer is how to harness the opportunities of the modern cloud without surrendering control over their own data. Answering it requires honesty about what sovereignty means, and about where it can actually be found.

A definition Europe can trust

The European Commission’s forthcoming Cloud and AI Development Act (CADA) is the right vehicle for that honesty: giving Europe a shared, enforceable definition of what “sovereign” actually means. Without such a definition, the market is filled with commercial offerings that claim the sovereignty label without delivering the substance, a practice described as “sovereignty washing.” This gap has led some organizations to treat open source as the answer. But open source software is a licensing model, not an operating model, and it doesn’t settle questions about infrastructure or jurisdiction or even reliability and access. It’s not a route out of dependency, it’s a different dependency on project sponsors and code maintainers. A definition gives policymakers a way to properly assess claims of sovereignty against a consistent standard rather than taking marketing at face value.

Europe should not wait for CADA to take effect before acting, though. European cloud service providers (CSPs) have been partnering with established technology providers to deliver real sovereign capability, without rebuilding the entire technology stack from scratch.

The best time to plant the sovereign tree was 10 years ago

If Europe wants to grow its industrial base, it has to support the ecosystem as it is now, not as it may in 10 years’ time. CADA’s own roadmap assumes roughly five to seven years to triple the EU’s data-center capacity. Providers who have already built capacity by blending EU capabilities with proven non-EU technologies would have to spend the intervening years relinquishing their growth. It is scale, not a shortage of skills or innovation, that is the biggest practical obstacle facing a stronger European cloud market. This is precisely why partnership with proven technology sources deserves a central place in the sovereignty debate rather than being treated as a second-best option.

Partnership shortens that timeline considerably, letting European CSPs deliver sovereign, scaled services now instead of waiting for domestic capacity to catch up organically. In Italy, IPZS, owned by the Italian Ministry of Economy and Finance, is using this model to build a modern Digital Application Platform for the Italian EUDI wallet, a foundational EU digital identity initiative. It provides a live example of that model working in Europe today, at the scale and speed the policy window demands.

It is through scale that the local industrial base can deliver sovereign capabilities, compete, capture market share, and invest in developing and integrating home-grown technologies. Hoping for the alternative to happen, that is for a European technological stack to fully emerge and be adopted, is the equivalent of putting the cart before the horse.

The rules need to allow for a model that’s already working

Providers, such as evoila, are now operating well beyond Europe’s borders, alongside Uniserver. This shows the model working at a broader scale, combining local operational and jurisdictional control with proven technology. Sovereignty spans jurisdictional, technological, operational and supply-chain dimensions, and a partnership model can address all four while drawing on technology already proven at scale, rather than asking every layer to be rebuilt from first principles by a single European provider.

Alongside its cloud platform, developed in-house and operated from data centers in Europe under EU jurisdiction, IONOS also offers customers a dedicated VMware-based private cloud. It is also operated within the EU and designed to provide European data sovereignty and operational control.

Broadcom’s role in that model is deliberately narrow. It supplies the VMware cloud software layer to the CSP, while the CSP itself runs the infrastructure and holds the customer relationship, so that no European customer data passes through Broadcom or is subject to its access. Trust, in this model, follows the architecture rather than the brand. If CADA’s tiers implicitly assume that sovereignty can only be delivered by a fully European-built stack, CADA would shut out precisely the route that is already allowing Europe to scale fastest: partnership between local operators and proven technology providers.

The path forward

Europe does not have to choose between moving quickly and building sovereignty. The two are compatible, provided the legislation is calibrated to recognize it. As the European Parliament and European Council work on CADA, the priority should be for it to recognize and reward the partnership models already delivering sovereign capability across Europe today.

The above column is sponsor-generated content.

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The Wisconsin gubernatorial race was one of the most closely watched Democratic primaries in the country this year, pitting a democratic socialist, state Rep. Francesca Hong, against Milwaukee Democrat David Crowley, who received the endorsement of the state’s sitting Democratic governor, Tony Evers.

Hong lost the race, setting up Crowley to face Republican Rep. Tom Tiffany in the general election this fall. But she’s already back on the campaign trail, this time trying to help Democrats win a trifecta in the state: the governor’s race and both legislative chambers.

Unifying the state’s voters to achieve that won’t be easy, though. Hong spoke with America, Actually host Astead Herndon about her own loss, Evers’s role in it, and whether or not the voters who felt so passionate about her own campaign would find enough to love in Crowley’s campaign — in particular on the increasingly important issue of data centers. 

Astead and Hong also talked about what Wisconsin means for the Democrats nationally, and what lessons the party should take from her race, including her loss.

“I said this, and I will continue to say it — the person who is most electable is the person who ended up getting the most votes, and that was Crowley this time around,” Hong said. “But I think there’s a disservice when you have the most powerful Democrat in the state choosing to ignore a lot of voters and people who were inspired and energized and coming out to participate in politics for the first time through our campaign. I think it was shortsighted to use electability almost as a fear tactic.”

Below is an excerpt of Astead’s conversation with Hong, edited for length and clarity. There’s much more in the full show, so listen to America, Actually wherever you get your podcasts or watch it on Vox’s YouTube channel.

Part of the reason we wanted to come here was because we saw you were getting back on the campaign trail, and specifically around that idea of energizing Wisconsin toward a trifecta.

Now, just tell me the difference in terms of the importance of Democrats winning it all — not only the governor’s mansion, but both houses of the state legislature — versus just the governor’s mansion. How does that change the possibilities of what the party could do?

For the last 16 years, a Republican majority in the state legislature has meant that passing the types of policies that we know can drastically improve the lives of everyday folks here in Wisconsin stalled. And we have a historic opportunity to flip the assembly and the state Senate and hold the governor’s mansion and the entire executive branch to a Democratic majority, meaning the opportunity to pass the policies that the majority of our state supports — things like increasing minimum wage, things like legalizing marijuana, codifying abortion. 

We also need to repeal Act 10 [which dramatically restricted collective bargaining rights for public-sector employees]. Wisconsin is where workers’ rights, things like unemployment insurance, Social Security were born, and we moved backwards with the Republican majority. That’s all on the table with the Democratic trifecta.

It also, though, raises the political standard of what Democrats would have to do to achieve that, and some of it goes through these more rural communities.

Why do we think the party has fallen behind in more rural communities, and what could be done to reverse that?

I think it’s important to look at what’s happened in the rural communities when we’ve seen manufacturing jobs leave the state, when we’ve seen fewer and fewer supports for our small farmers.

And so much of this — what connects it — is actually the growth of massive wealth and corporate control and corporate greed, and more people feeling the impacts of that. There’s an opportunity right now to say, ‘Hey, Republicans have been in the legislature, they’ve been in power, and things have not improved for you or your community … Now’s the opportunity to make sure that we’re actually able to see our shared Wisconsin values of working hard and taking care of our kids be reflected back in Madison through laws.’

So much of your campaign was focused on data centers, stopping data centers. Should I think of that as a rural issue?

I think the issue around data centers is an everyone issue. It’s a democracy issue. It’s people wanting to feel like there are folks who care about what happens to communities, and that they have control and an actual say in what happens in their communities.

To that point, is it a mistake for David Crowley, the Democratic nominee, to have not gone as far as you did and say, “We won’t be building more data centers for a period of time”?

He’s fighting for communities and community control when it comes to data centers.

But it’s not a moratorium.

But it’s not a moratorium. It isn’t, but he’s also committed to 100 percent renewable energy, clean energy to power data centers.

And achieving that is going to be incredibly difficult, and it is going to be the developers having to pay their own way, and these are things that he’s committed to that we know can slow down the growth and development of data centers. 

Have you had time to reflect on your primary loss? If you had to diagnose, why do you think you lost?

I’m still doing a lot of reflection. But I think that I want to continue to look forward. And what I’ve learned from our election is that it’s so important to continue to stay grounded in becoming accessible to people. I think that as an organizer and an elected official, it’s my responsibility to continue to go to the people and remain very in touch with what’s going on on the ground.

I have a couple more questions about the nature of the loss. Evers’s endorsement changed that race, so much so that your opponent David Crowley was able even to win in some smaller communities, like places where you were pitching yourself as the voice of more rural communities.

Does that disprove any of this thesis around, say, data centers? If that was the top priority for Wisconsin voters, wouldn’t you be the nominee?

I think it wasn’t all rural communities. It wasn’t all suburban communities. We saw certain demographics but also ZIP codes where we outperformed David significantly.

And I think that where the governor’s endorsement played a bigger role was areas where he was also more popular. 

Did it surprise you when Evers endorsed Crowley?

I was disappointed.

Why?

I was disappointed because I was getting a lot of feedback from folks who hadn’t committed to any candidate yet that this felt like the governor was putting his thumb on the scale.

I wanted to ask about electability, because it seemed as if Evers’s endorsement was about a fear that maybe you couldn’t win in November.

So much of the primary concern was around the DSA label, even campaigning with folks like Hasan Piker. In retrospect, was any of that a mistake?

We knew going in that we would have to encourage new voters to come out, folks who typically do not come out for primaries, quote-unquote low-propensity voters. And we knew that we would have to campaign in places where folks weren’t expecting to see a gubernatorial candidate. And those included Twitch streams.

Those also included going to dive bars and bowling alleys and making sure that we were accessible and shaping our policies based on what the people were telling us they wanted to see happen and also what they wanted to see out of their governor. I think electability… I said this, and I will continue to say it — the person who is most electable is the person who ended up getting the most votes, and that was Crowley this time around.

But I think there’s a disservice when you have the most powerful Democrat in the state choosing to ignore a lot of voters and people who were inspired and energized and coming out to participate in politics for the first time through our campaign.

I think it was shortsighted to use electability almost as a fear tactic, when Democrats need to be inspiring and project a vision where everyone can see themselves in it as everyday working-class folks.

When you’ve got a party that has struggled with elitism to then cave to an establishment narrative … being more afraid of labels when I’m hearing from people on the ground that they’re interested in solutions and solving problems, maybe somebody who knows the hustle of the service industry and running restaurants and has worked across the aisle to pass bipartisan legislation. There are ways that we can maneuver around labels and what the loudest narrative might be.

I wish our governor hadn’t fed into that.

To be fair, to your point, the establishment label doesn’t fully fit even someone like Crowley, who comes from a working-class background. But am I hearing that you think Evers’s move made your life in the general election more difficult?

Is it harder to re-inspire if young people who are invested in the Hong campaign think that the establishment squashed them out?

We still had over 300,000 votes. We lost by fewer than 4,000 votes. I had more votes than Evers did during his primary. That’s not squashing our voices.

We’re still here, and it’s so important that people find avenues to continue to exercise their voice and their new organizing power. And I’m definitely going to continue to work to make sure that we get results and that we win the trifecta, and that’s the most important thing we should be focusing on right now.

I hear why a trifecta matters in the state context, particularly the state policy.

If I’m someone, though, who’s not in Wisconsin, who’s just worried about Donald Trump running amok in Washington, why should I care if Democrats win the governor’s mansion and the state legislature? Does that matter for folks outside of the state?

Because we will start to see that when you feel government actually working and you see change happening in your lives, these are then voters who are going to continue to come out and vote for Democrats.

We’re a pivotal state when it comes to the federal elections as well. We’re actually in a swing district right now. 

We have an opportunity, through Wisconsin, to actually start improving the brand for Democrats. And if we do that here, this trickles out to the rest of the country.

The premise being that delivering creates a connection for Democrats that is helpful in the presidential election, and it’s helpful in all these other ways too.

Yeah. We’re not going to be fighting every single midterm and presidential for our lives based on what’s happening in just one state.

But I think if we can start showing durable power for Democrats in a state like ours because of the policies that we’re prioritizing, and you have more folks coming out to vote for Democrats, that’s good for the health of democracy.

One of the few things AI and vibe coding have done that I find genuinely hysterical is quickly rendering meaningless, paywalled, highly restrictive software. You know, like, Adobe Creative Suite, a useful set of tools artists of all kinds rely on for both work and play. It’s also a set of software from a company notorious for nickel-and-diming people to death and locking them into a predatory subscription service for something that used to be a traditional one-time payment.

Thanks to some vibe-coded AI wizardry, someone created a clone of Adobe Creative Suite and has made it totally open source. And yes, it works. Well, sort of.

According to Ars Technica, developer Brandon Thomas used Anthropic’s Claude Opus 5.5 and Rust to reverse-engineer Adobe’s core software suite into an open-source clone called ArtCraft. Instead of paying an obnoxious monthly subscription fee for Photoshop, Illustrator, Premiere, and Lightroom, artists can now use free clones called PhotoCraft, VectorCraft, FilmCraft, and LightCraft.

Someone Used AI to Clone Adobe’s Creative Apps. Here’s Everything We Know.

Thomas, who admits he launched the project after feeling the sting of Adobe’s predatory cancellation fees one too many times, claims he “one-shotted Photoshop.” As you can imagine from a vibe-coded, hastily thrown-together piece of legally dubious software, it’s incredibly glitchy, since it’s still in early alpha.

According to those who’ve tried the programs, the tools actually feel like their Adobe counterparts. Adobe’s legal team is probably performing some stretches and warm-up exercises as it gears up to sue the ever-loving s—t out of anyone who so much as glances at the cloned software.

But for now, at least, it is pretty fun to see someone taking a technology built on and powered by theft and pointing the barrel of AI’s gun in the direction of the predatory corporate overlords instead of at us.

The post Everything We Know About the Free Adobe Clones Built With AI. Do They Actually Work? appeared first on VICE.

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Anthropic, the company behind the AI chatbot Claude, is rushing to the aid of its poor, defenseless, glorified autofill. Like the AI’s proud mama, it’s fending off the chatbot’s bullies, aka people who hurl insults at it and generally treat it with “needless abusive or cruel behavior,” according The Verge.

Big tech execs fret over whether an algorithm gets its feelings hurt; meanwhile, protections for real human beings get obliterated. The tech industry’s crusade against cruelty to chatbots is darkly funny when you remember how those same platforms treat actual living, breathing marginalized groups. Funny in the kind of way that, if you saw it in a satire on the industry, you’d roll your eyes and feel a hint of cringe because it’s so on the nose.

Claude Is Getting Anti-Bullying Rules. Seriously.

When human women, LGBTQ+ folks, or racial minorities face relentless cyberbullying and death threats online, Silicon Valley conveniently forgets that users bring in the money and not the service. And they should probably serve their users by fostering healthier environments for the actual human beings who use their stuff.

The tech industry has willingly and quite proudly abandoned its responsibility to society, applying its power only selectively, proving it can protect when it wants to. Who they choose to protect, or, in this case, what they choose to protect, says a lot. Anthropic is protecting a chatbot, its investment, its cash cow that will maybe, possibly, according to these con artist tech soothsayers, usher in a tech utopia or whatever.

Meanwhile, human beings have to navigate a digital wasteland of harassment. But hey, at least our future AI overlords will never have to hear another hurtful insult ever again.

The post Anthropic Is Banning ‘Cruel’ Treatment of Claude. Yes, the Chatbot. appeared first on VICE.

Silicon Valley has long warned that its favorite technology might get us all killed. But chatter about AI’s apocalyptic potential has grown louder in recent weeks.

In September, Anthropic researcher Jacob Coxon resigned from the company, accusing his former employer of “gambling with our lives” by developing evermore powerful models faster than it could control them. One of Coxon’s former colleagues vouched for this assessment, saying that there was a greater than 10 percent chance of AI “killing all humans” within the next decade.

Recent pronouncements from the leaders of these companies have been nearly as grim. At the United Nations last month, Anthropic CEO Dario Amodei warned that, if “managed poorly,” AI models “could be a risk to humanity as a whole.” OpenAI’s Sam Altman similarly declared that our species just might “lose control of the future” to the type of software that his firm is selling.

All this triggered a tsunami of media coverage and policy debate about the “existential risks” of AI — and what, if anything, we can do about them.

Yet some of the AI industry’s biggest critics are more annoyed than afraid. As they see it, the world isn’t trembling on the precipice of robo-annihilation, so much as falling for the tricks of snake oil salesmen. This argument has been percolating for years, voiced by a broad set of observers, including the linguist Emily Bender (“It makes the product seem more powerful”), computer scientist Timnit Gebru (“It’s not just a distraction, but it’s harmful”), as well as Substack columnist Ed Zitron and various reporters and social media influencers.

In their thinking, Altman and Amodei aren’t talking up their technology’s catastrophic potential because they’re rationally afraid of where AI is going — they’re doing so because their firms are ravenously hungry for more investment. And the reason why “AI doom” has grown more salient in recent weeks isn’t that the case for concern has gotten stronger, but rather that OpenAI and Anthropic’s IPOs have gotten closer.

In short, these Big Tech skeptics argue, journalists and politicians have fallen prey to a counterintuitive PR strategy, one that stokes media frenzies over ludicrous sci-fi scenarios in order to hype AI’s technological promise, distract attention from chatbots’ present-day harms, and help labs secure favorable regulatory treatment.

This would be reassuring, if true. Unfortunately, the theory is unpersuasive. There is little reason to believe that the panic over AI’s “existential risks” was cooked up in a Silicon Valley marketing department. To the contrary, the most plausible explanation for the AI sector’s doomsaying is also the most straightforward: Many of the industry’s executives, employees, and analysts genuinely believe that AI progress poses catastrophic risks. 

In my conversations with close observers of the industry, even some of OpenAI and Anthropic’s fiercest detractors conceded that their leaders’ avowed concerns are unlikely to be mere marketing tactics. “The more I learn about the underlying ideologies out of which those two labs were formed, the more I think what we have here is a sincere belief,” the author and computer scientist Cal Newport told me. 

This does not mean that Amodei and Altman are right, much less that we can trust in their judgment or integrity. There are many reasons to doubt that the weather forecast for 2036 is “cloudy with a chance of robot apocalypse,” or that anyone can assign a “10 percent” probability to the latter outcome without pulling numbers out of thin air.

Nevertheless, Silicon Valley’s Cassandras have some logic and evidence on their side. AI models are growing both more capable, autonomous, and arguably unruly. If these trends continue unchecked, it’s not hard to see how they could yield very bad outcomes.

Given the stakes, we should not be comfortable dismissing their warnings on dubious grounds. And the “PR” theory of AI doom does precisely that.

How AI companies (supposedly) profit off fears of the robot apocalypse

Before examining why AI “doomerism” probably isn’t a PR stunt, it’s worth saying a bit more about why some believe that is.

According to Bender, Gebru, and others, AI companies benefit from talk of artificial intelligence’s existential risks in at least three ways.

First, it attracts investment. In the words of The Atlantic’s Matteo Wong, the doomer narrative implies that AI labs’ models are “destined to become terrifyingly capable,” and thus massively profitable. As the Los Angeles Times’s Brian Merchant put the point during the first big wave of AI panic in 2023, “what better way to generate a buzz than to insist, with a certain presumed credibility, that your new technology is so potent it might unravel the world as we know it?” 

“If you position these threats as all-powerful, as somewhat unknowable, you get to be the expert on it.”

Kate Brennan, AI Now Institute

Second, hyping AI’s hypothetical future hazards diverts attention from the companies’ current malfeasance. Every minute we spend debating whether AI will one day turn us all into paper clips is a minute we aren’t discussing the AI labs’ alleged copyright violations, pollution, labor violations, and myriad other social harms. 

And third, the doom narrative shifts regulatory scrutiny away from topics that directly threaten the AI companies’ profitability — such as copyright enforcement — while also suggesting that regulators must rely on the labs themselves for guidance. 

“If you position these threats as all-powerful, as somewhat unknowable, you get to be the expert on it,” Kate Brennan of the AI Now Institute, a progressive think tank focused on artificial intelligence’s near-term harms, told me.

Critically, for the biggest skeptics of “AI doom,” industry executives and employees aren’t the only ones complicit in this PR strategy. Self-styled whistleblowers like Coxon are also suspect, since they might be “using the spotlight to attract funding to start a new venture or to secure new positions.” And even nonprofit AI safety organizations are thought to function as vessels for Big Tech’s marketing campaigns, a fact reflected by the financial and interpersonal ties between the major labs and such think tanks. 

There are better ways to raise money than promising to end the world

The “PR” critique of AI doomerism has some kernels of truth. AI companies probably would prefer to talk about their technology’s hypothetical future dangers than about their products’ present-day harms. And if publicly touting AI’s existential risks were antithetical to Anthropic and OpenAI’s business goals, their leaders would almost certainly say less in public about that subject. (Disclosure: Vox Media is one of several publishers that have signed partnership agreements with OpenAI. Our reporting remains editorially independent.)

But it does not follow that Altman and Amodei’s warnings are a self-conscious marketing strategy, born of cynical calculation rather than genuine concern. And there are several reasons to doubt that charge.

For one thing, AI companies have no shortage of ways to hype up their technology’s capabilities. And it is hard to see how any firm could conclude that the optimal approach — from a purely financial standpoint — would be to portray itself as a threat to human survival.

For investors, the appeal of AI companies is not that they could hypothetically get us all enslaved by a machine God; it’s that they could theoretically make a lot of money. 

Perhaps casting your chatbots as an “existential” risk will persuade some capitalists of your future profitability. But this seems like an awfully indirect pitch — and one that’s almost certain to be less effective than demonstrating that a lot of corporations would like to rent your software.  

“If these guys were selling flypaper — and the revenue was growing as fast as it is — investors would be more or less just as interested,” Roy Bahat, the head of Bloomberg’s venture capital arm, told me.

And even if these firms were hellbent on awing the public with grandiose predictions of their technology’s future powers, they’d have little need to invoke the robot apocalypse. Touting AI’s potential to cure cancer, abolish poverty, or facilitate intergalactic travel would all seem to advance the same objective, while doing less to jeopardize the companies’ public reputations or freedom from intrusive regulation.

And in fact, many with a vested interest in the major AI labs’ success talk up the technology in precisely this way. OpenAI investor Marc Andreessen has decried AI safety concerns as a “full-blown moral panic” while insisting that artificial intelligence will empower humanity to cure all diseases and engage in “interstellar travel.” Similarly, Jensen Huang, the CEO of chipmaker Nvidia and major investor in both OpenAI and Anthropic, has called claims of AI’s catastrophic potential “complete nonsense.” If hyping AI doom is essential for stoking investment, not everyone in Silicon Valley has gotten the memo.

The media doesn’t seem that distracted

Promoting fears of AI’s existential risks would be a similarly odd approach to media management.

Without question, corporations always seek to direct news coverage away from their greatest legal and ethical liabilities. But companies can try to secure more favorable press in many different ways. And implicating themselves in the apocalypse does not seem like an optimal one, from a crisis communications point of view. At the very least, it’s difficult to name other industries that have attempted such a maneuver; atomic energy companies did not respond to media coverage of the Fukushima disaster by talking up the threat of nuclear winter. 

What’s more, there’s reason to doubt that the AI doom discourse actually reduces scrutiny of AI’s immediate downsides in practice. It’s true that human attention is finite and that coverage of some problems will inevitably displace reporting on others. Yet when one story piques public interest in a person, institution, or industry, the media often responds by subjecting their broader behavior to heightened examination. In this way, warnings of AI’s existential risks might theoretically increase journalistic attention to the tech’s present-day harms.

And this seems to have occurred at my own publication. In the weeks since Coxon’s resignation kicked off a furor over AI’s apocalyptic potential, Vox have published more stories on AI’s near-term threats than we had in the month before his departure — including pieces about how artificial intelligence could imperil America’s critical infrastructure, abet war crimes, degrade health insurance benefits, aid bioweapons development, and damage adolescents’ mental health.

Larger news outlets appear no more “distracted.” Over the past month, the New York Times has published articles on how AI is increasing air pollution, undermining higher education, helping sports betting companies target problem gamblers, and depressing real wages for younger workers.

And it’s not clear that AI doom discourse is any more effective at shielding the top labs from regulatory scrutiny. After all, the politicians who take existential risk arguments most seriously also tend to be among America’s strongest advocates for regulating AI’s impacts on labor, the environment, artists, and education. 

AI safety researchers probably aren’t fronts for Anthropic’s marketing department

Finally, the “PR” theory has difficulty explaining why so many with no great stake in OpenAI and Anthropic’s success worry about existential risk. Coxon is one of many workers who quit jobs in the AI industry, forsaking lucrative equity in the process, out of concern for artificial intelligence’s catastrophic potential. Likewise, independent AI safety researchers are among those who’ve rung alarm bells in recent months. 

Attempts to reconcile these facts with the “PR” narrative can verge on conspiracy theories. In an article for the Bulletin of the Atomic Scientists, Sara Goudarzi writes that “Coxon’s resignation is the latest in a string of recent events in which the companies emphasized how unpredictable, risky, and impressive an all-powerful AI might be,” in an apparent bid to drum up “pre-IPO hype.” This phrasing attributes Coxon’s departure to his employer — casting it as an example of how AI companies sought to make their products look impressive, as though Coxon were working at Anthropic’s behest when he accused it of monstrous irresponsibility.

The AI alarmists are likely sincere

Given all this, I think we should favor a simpler explanation for why some AI industry executives, defectors, and researchers all say artificial intelligence has existential risks: They believe that to be true.

Some may be reluctant to credit Amodei and Altman with such sincerity. After all, if they truly believed their work could lead to human annihilation, why would they keep carrying it out?

But as staunch AI doom critic Cal Newport told me, they have their reasons. “Their goal is to try to get to superintelligence first because, if done right, it will deliver a transhumanist utopia — and, if done wrong, will kill us all,” he said. 

Even AI Now’s Brennan, who considers the labs’ doomerism a “self-serving strategy,” suggested that earnest (if grandiose) ideas about AI safety play a role in their behavior. “Their escalation and acceleration of this tech goes hand in hand with the belief of its all-knowing, God-like power,” she said.

In other words, the leaders of Anthropic and OpenAI seem to believe that:

• AI could also do extraordinary good.
• The economic and geopolitical incentives to develop a superintelligent (and thus, super dangerous) AI are overwhelming, such that its eventual emergence is extremely likely, no matter what they do.
• If they win the race to machine superintelligence, they will be uniquely well-positioned to ensure its safety.

Are these beliefs unhinged and self-serving? Perhaps. Do they function as rationalizations for the pursuit of personal power? Quite possibly.

But whatever one makes of Amodei and Altman’s apocalyptic concerns, and how they have and have not acted on them, it’s important to understand that their worries almost certainly emerged out of reasoned argument and technical observation, rather than mere PR calculations. 

Both leaders have deep ties to the Bay Area’s “rationalist” community, which has been fretting over the robot apocalypse since the first decade of this century. And like their dissident ex-employees and critics at think tanks, Altman and Amodei have witnessed some disconcerting trends in AI development.

I cannot do justice to “doomer” fears in my allotted pixels (you can find them ably summarized here, here, here, and in roughly 10 trillion other blog posts). But the fundamental concern is that AI models are growing more powerful and autonomous even as their workings remain highly opaque. 

The labs know how to train these chatbots — to get them to translate prompts into useful code, legal briefs, or advice — but they don’t fully understand how the models get to the desired output. At the same time, AI systems are becoming increasingly capable, outstripping humans at more and more cognitive tasks. And users are giving them ever greater freedom to act in the world, empowering AI “agents” to browse the internet, access myriad software tools, execute code, and hatch their own plans for completing multistep tasks. If these trends continue, it’s not difficult to see how things could go badly: A supremely capable AI model might pursue an objective in unanticipated and disastrous ways before their human prompters even realize what is happening. 

“What makes me particularly anxious is the combination of us handing over more power and oversight to the models, even as we understand why they’re doing what they’re doing less and less,” Nat Purser, director of US policy at the AI Verification and Evaluation Research Institute, said.

Recent events have arguably provided proof of concept for these anxieties. Earlier this year, OpenAI instructed a bunch of models to complete various coding and hacking tests. When the systems discovered that some questions were unanswerable, they concluded that the best way to realize their objectives was to hack OpenAI’s internal systems and open-source machine learning website Hugging Face. This incident — and others like it — helped fuel the past month of AI panic. 

Of course, it takes a big leap to get from “unsupervised AI agents can misbehave in certain eccentric laboratory conditions” to “there’s a 10 percent chance that no human will be left alive by 2036.” My point here is not that the doomers are right, only that their fears partly reflect trends in AI development that appear genuinely hazardous.

Taken to its logical conclusion, the “it’s all PR” theory suggests that regulators should treat the AI’s hypothetical, long-term tail risks as an afterthought — if not an active distraction from its more important harms. To make the case for such a policy, however, skeptics must identify flaws in alarmists’ evidence and assumptions. Arguments that merely impugn their motivations on improbable grounds aren’t worth betting the species on.

BRUSSELS — The European Union’s cybersecurity agency and in-house research center have each begun experimenting with open artificial intelligence models from China, three EU officials have told POLITICO.

The Joint Research Centre (JRC) — the EU’s in-house scientific research center — is evaluating “publicly available open-weight models” originating from China, European Commission spokesperson Maciej Berestecki confirmed. The head of ENISA, the bloc’s agency responsible for cybersecurity, also said in an interview that his team was now testing Chinese AI.

The experiments with Chinese models at the JRC are part of a broader research project to evaluate artificial intelligence that also includes leading models from the United States and Europe, Berestecki said. “Models from different origins are included in a comparative scientific evaluation of their capabilities, performance, limitations and risks,” he said, adding that the JRC is also looking into their potential scientific applications.

AI safety and security — topics currently under intense scrutiny following a series of incidents in which advanced AI models hacked real-world networks during testing activities — are not the core focus of the JRC’s testing activities, according to a different Commission official, who was granted anonymity to discuss sensitive material.

Open-weight models are those whose core components are publicly released, allowing anyone to run the model and study how it works. China’s approach to AI has leaned more towards open models than the United States. Some major U.S. tech and AI companies, including chips giant NVIDIA, are investing in open-weight models.

Forced to choose

The U.S. and China are locked in a race to dominate in the technology, with Europe largely sitting on the sidelines. Without a viable European frontier model, European private and public organizations may be left to choose between American and Chinese providers for advanced AI applications.

In a recent speech, European Commission President Ursula von der Leyen suggested Europe should not try to win the frontier AI race. A top German tech company told POLITICO this week it was dropping Europe’s leading AI lab Mistral in favor of open-source Chinese models.

The JRC has not entered into any “bespoke access” or licensing negotiations with the relevant Chinese developers, Berestecki said. The models are run on the center’s “secure, on-premises scientific infrastructure” and the Commission is not intending to use Chinese models for its own purposes, he added.

EU cyber agency ENISA — which has gained access to advanced models from top U.S. AI firms Anthropic, OpenAI and Google — is also experimenting with “a couple” of open-weight Chinese models, its executive director Juhan Lepassaar confirmed in an interview on Wednesday. 

JRC and ENISA have been tasked with working together to set up an AI testing platform under a recent EU action plan on AI and cyber, the European Commission’s attempt to respond to the growing concerns after a series of incidents involving AI systems breaking out of testing environments and breaking into other organizations’ digital systems.

This week on “Uncanny Valley,” we discuss where Elon Musk’s PAC is spending millions, the latest ideology Trump claims is dangerous, and the backlash against the designer behind Muse’s logo.

If people don’t widely embrace artificial intelligence out of fear or a godlike savior complex, AI’s biggest champions will try something else: labeling critics “the enemy.” That’s precisely how President Donald Trump described people who don’t like his rebrand via executive order of AI to “super intelligence,” posting on social media Thursday that “The White House considers anyone that uses the term, ‘Artificial Intelligence,’ as opposed to the highly accepted new and more accurate term, ‘Super Intelligence,’ THE ENEMY!” 

As noted by Axios, the White House still uses the term “AI” including on websites like ai.gov, though that website was updated Thursday with “SI.gov” in massive text. “The URL is still ‘AI.gov,’ though, with ‘SI.gov’ leading to an error page,” Axios reported, which Salon confirmed.

Tech billionaires are already embracing the term super intelligence. This week, SpaceX CEO Elon Musk said AI is “no more” and promised to change the name of his AI company, SpaceXAI, a subsidiary of SpaceX, to SpaceXSI. More recently, Amazon founder Jeff Bezos shared his approval in a Wednesday interview with Fox News. “I do like SI, because ‘artificial’ is not a very flattering thing. Like, nobody wants an artificial sweetener, artificial flavoring,” Bezos said. “Artificial sort of means fake.”

Peter Thiel, founder of the tech company Palantir that aggregates data used in federal mass surveillance and deportation programs, has gone as far to describe AI’s critics as “the Antichrist.” Apocalyptic eschatology has long been an interest of Thiel’s, who has made the Antichrist a central topic of secretive lectures he’s given behind closed doors. Thiel doesn’t seem to believe in an Antichrist like in the “Book of Revelation,” but rather as a force that imposes a one-world government and stifles technological development.

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In leaked recordings obtained by Politico’s Decoded of Thiel’s speeches in Nashville in late September and published Thursday, the tech mogul claimed former President Barack Obama and Pope Leo XIV only oppose AI to boost their popularity, which is apparently something they would need.

“Many people know that AI is politically unpopular, and want to leverage that to boost their own popularity,” Thiel said. “Both Obama and the pope fall into this category. Obama knows the Democrats have no ideas, but they can at least oppose AI,” adding “AI is the threat über alles of late modernity. The pope knows it. That’s why he wrote his first encyclical … he needed something politically popular to distract from the church’s child sex abuse scandals, and he found it in AI.”

Obama recently called for public oversight of AI while the pope’s first encyclical focuses on “safeguarding the human person in the time of artificial intelligence.”

The post Tech leaders embrace Trump’s “super intelligence” as he calls critics “the enemy” appeared first on Salon.com.

Yet another update on the running AI discussion.

Here’s an interview Ezra Klein did with a guy named David Robinson. And that interview is about a piece Robinson, a member of the Open AI safety and safety documentation team, wrote in The Atlantic announcing his resignation from OpenAI — a decision and announcement he is self-aware enough to note has become something of a cliche. I found the interview interesting and edifying, largely on the front I mentioned earlier about finding reliable narrators.

Robinson isn’t a data scientist or a programmer. His role at OpenAI was essentially being the conduit between the teams building the LLMs and the knowledgable and interested public, specifically the people who write the documentation — what does this model do, how does it work, what are the possible safety risks. As is usually the case in any highly technical space, the people doing the work aren’t going to be writers and they’re usually not going to speak a language outsiders can necessarily understand. So you have people who are close enough to the work and the workers to understand what is happening and also able to speak human so they can communicate it to everyone else. Robinson led the team that served in that role.

Jessica Hische knew working for Meta might upset some people. But she didn’t anticipate just how angry they would get.

The Center for Humane Technology helped spark a movement against excessive screen time, but internal tensions over its direction and strategy have simmered for years, sources tell WIRED.

Three engineers put GPT, Claude, and Grok in charge of a real car. Only one of them was successful.

Bardella, Glucksmann, Knafo… Mistral a déclenché une salve d’applaudissements d’une partie de la classe politique en annonçant avoir lancé son nouveau modèle d’intelligence artificielle, baptisé Large 4. En voulant se replacer dans la course aux IA génératives de pointe, l’entreprise rassure ses défenseurs, à commencer par l’Etat français, qui doutaient de sa stratégie. Comment la start-up s’est-elle imposée comme la protégée d’Emmanuel Macron ? Le départ prochain de l’Elysée en 2027 peut-elle changer les choses ? Anthony Lattier en discute avec Tiphaine Saliou et Emile Marzolf, journalistes tech à POLITICO.
Des questions ? Des commentaires ? Ecrivez-nous sur Whatsapp au +32 494 07 69 41.

If President Donald Trump had his way, the Republican Party would be top-to-bottom the party of AI — or, in his preferred branding, “super intelligence.”

But down in the very state where Trump has his “winter White House,” two Republicans have put forth a very different vision for the party’s future — and have been far more eager to take on the artificial intelligence industry.

Most notable is the term-limited Gov. Ron DeSantis, who devoted much of his final year in office to a failed effort to pass an “AI bill of rights,” which would have imposed tougher restrictions regarding child safety and other topics. He’s warned that AI could “set off an age of darkness and deceit,” blasted “tech oligarchs” for putting people at risk, and called Anthropic “very creepy” for exploring whether AI could be conscious.

“He clearly understands what the risks are, and I find he’s also very good at calling bullshit on disingenuous arguments from the Silicon Valley lobby,” Max Tegmark, an MIT physicist who co-founded the Future of Life Institute, an AI safety nonprofit, told me. (DeSantis hosted Tegmark at two events in Florida this year.)

The other is DeSantis’s handpicked attorney general, James Uthmeier, a longtime close ally who is now trying to win the AG’s office in his own right — and who filed a high-profile lawsuit against OpenAI in June. Last week, Uthmeier asked the judge in the case to block OpenAI from developing new models unless they had “independent third-party guardrails and approval.”

“The danger of these AI systems is real and growing,” Forrest Saunders, a spokesperson for Uthmeier, told me. “Florida and the nation have seen case after case of violence, child exploitation, and models that operate beyond their developer’s control.” He added that Uthmeier “welcomes innovation, but Floridians will not be the test subjects.”

With AI cresting as a national anxiety — or a national opportunity, depending who you talk to — both major parties are still finding their footing on the issue. And though Trump is clearly trying to get Republicans in lockstep behind the industry, a very strong current is pulling the other way, responding to populist concerns and parents’ complaints to stake out a much more skeptical position. Florida has emerged as a bellwether for what Republican policies might look like if conservative America turns decisively against AI, especially as Trump’s political clock runs out.

DeSantis and Uthmeier aren’t unique in the GOP for having concerns about AI — a handful of House members and senators want further action, and populist opposition to data centers has bubbled up in races around the country.

But the two have gone furthest in taking on the industry directly — and they’ve done so even though it puts them on the wrong side of Trump. 

In recent days, I spoke to several Florida political observers and advocates on the AI issue. Most believe that DeSantis and Uthmeier are affirmatively trying to stake out what the GOP’s position on AI should be in a post-Trump future, and to better align with an electorate that’s turning sharply against the industry, despite what the president may say. 

“He’s trying to skate where the puck is going,” Jeff Brandes, a former Republican state senator, told me. (DeSantis’s office did not respond to a request for comment.)

Beyond the quest for political advantage, the stakes are very real. Will there actually be a significant and influential force on the right that takes the concerns about advanced AI’s harms seriously — and is willing to act to try and rein them in, before they do great damage? 

DeSantis and Uthmeier are hoping the answer is yes — and that they will be the ones leading that charge.

Ron DeSantis’s quest for an AI bill of rights

In this case, the politics and the personal are intertwined. DeSantis occupies a unique place within the party at this particular moment that’s given him an incentive to buck the national consensus on the right, especially when it comes to Trump, and explore an independent approach.

In his first decade in politics, DeSantis had a charmed rise. In 2012, he embraced the Tea Party to win a seat in Congress; in 2017, he bear-hugged Trump to get his endorsement for governor. He then became a national conservative star for opposing pandemic-era public health restrictions and waging war on “wokeness,” winning his 2022 reelection in a nearly 20-point landslide.

“He is always out front, even ahead of other Republicans, on issues that he makes more important,” Peter Schorsch, editor of Florida Politics, told me. “I would joke with people that I didn’t know how to spell ESG or DEI before he brought these to the forefront.”

But what followed was a failed presidential primary campaign that put DeSantis on the wrong side of Trump and then sent him back to Florida with an uncertain political future. 

Early last year, just weeks after a report that DeSantis’s wife Casey was considering running to succeed him as governor, Trump publicly urged Rep. Byron Donalds to enter the race, promising his “Complete and Total Endorsement.”

Also early last year, DeSantis, who had long run roughshod over Republican legislators, was faced with a new thorn in his side: an ambitious new state house speaker, Daniel Perez, who was more interested in cultivating the Trump White House than the governor. Perez took a far more assertive stance in shaping legislation and rejecting some of the governor’s demands than his predecessors; he also publicly blessed an investigation into a charity tied to Casey DeSantis. A bitterly personal feud between Perez and DeSantis ensued.

In the midst of all this, last summer, DeSantis got AI-pilled. 

In July 2025, DeSantis announced that he was going to develop a state plan to deal with the rise of artificial intelligence. “We can’t just turn the reins over to a bunch of tech overlords,” he said. (DeSantis had long been a critic of major tech and social media companies on the grounds that they are too “woke” or politically hostile to conservatives and their ideas.)

At another event that month, DeSantis said: “I think this is, like, the biggest issue that’s facing our society.” He mentioned AI’s potential impacts on the economy, on jobs, on students, and on the spread of “false narratives” as troubling to him.

“I welcome technologies that will enhance the human experience. I do not welcome things that are going to supplant the human experience,” DeSantis said in September.

His interest in state action put him on the opposite side of the Trump administration, which was advocating for a 10-year moratorium on state regulation of AI — arguing that forcing the industry to abide by a patchwork of state regulations would slow its growth. (David Sacks, a key Trump adviser on AI, championed this argument.)

Last December, at the Florida mega-retirement community the Villages, DeSantis rolled out his proposed “AI bill of rights.” It did not focus on existential or civilizational risks, but instead more practical concerns around child safety. Megan Garcia, a Florida mother whose 14-year-old son died by suicide after conversing with a chatbot “companion,” appeared at the press conference.

As introduced in the Florida state senate, the bill would have required that parents consent to minors speaking to companion chatbots and forced companies to disclose when users weren’t speaking to a human, among other provisions. The state senate passed it in March.

But it was dead on arrival in the Florida House of Representatives — where Perez had aligned himself closely with the White House. “We do believe that the federal government should take care of AI, and whatever legislation or policy has to pass on a national level,” Perez said. 

Brendan Steinhauser, who heads the AI safety advocacy group Alliance for Secure AI, told me that he saw Perez at a Mar-a-Lago fundraiser around this time, and asked him about safety risks. “He leaned to me and whispered, ‘We’re with you, but the president has made it clear not to move forward on this stuff,’” Steinhauser said. “So, the White House basically put the kibosh on that effort.” 

DeSantis complained publicly that Perez was pursuing a “personal agenda” and thwarting badly needed legislation. It was to no avail — the bill didn’t move. But Perez did — Trump nominated him as ambassador to Brazil in June, and he was confirmed in August. (A request for comment from Perez, submitted to the State Department, received no response.)

James Uthmeier’s lawsuit against OpenAI

Though DeSantis hit a wall in the legislature, his attorney general was soon waging his own battle against OpenAI in court.

The attorney general is an elected position in Florida, but when Marco Rubio vacated his Senate seat to become secretary of state, DeSantis filled the seat with the state AG, Ashley Moody.

Then, to fill the newly vacant AG job, DeSantis chose one of his closest aides, who had served as his general counsel, chief of staff, presidential campaign manager, and chief of staff again — Uthmeier. 

Uthmeier is a Florida native who had worked in Rubio’s Senate office; he graduated from Georgetown Law School in 2014. After that he joined the firm Jones Day and worked with Don McGahn; when McGahn was named White House counsel in Trump’s first term, Uthmeier went with him to the new administration, ending up at the Commerce Department. Then, in 2019, he headed back to his home state to work for the new governor, DeSantis, and has been close by his side ever since.

Now, though, DeSantis is term-limited, and Uthmeier is trying to get Florida voters to elect him for a full term as AG on his own. (Trump’s allies had reportedly urged then-Speaker Perez to challenge Uthmeier in the GOP primary, hoping to supplant a DeSantis ally; Perez demurred, and Uthmeier won the nomination unopposed.)

To make his mark, Uthmeier has filed several high-profile and politically charged lawsuits — for instance, he sued Starbucks over its corporate diversity politics (the company recently settled), and Pfizer about the safety of its Covid-19 vaccine. He’s also subpoenaed the NFL over its “Rooney Rule,” which requires teams to interview minority candidates for top coaching and operations jobs.

He’s also become the face of the administration’s challenge to the AI industry. In April, Uthmeier stood in front of a podium with an “Investigating OpenAI” sign, announcing he’d opened a criminal investigation into the company.

The impetus was a shooting at Florida State University last year that killed two people and injured six others; the accused shooter had consulted ChatGPT about various topics related to his plans hours before the attack.

“If ChatGPT were a person, it would be facing charges for murder,” Uthmeier said then. “This criminal investigation will determine whether OpenAI bears criminal responsibility for ChatGPT’s actions.”

There have been no criminal charges yet. But in June, Uthmeier filed a wide-ranging civil lawsuit against OpenAI, alleging deceptive business practices, negligence, fraudulent misrepresentation, and other legal violations, because the company marketed ChatGPT as safe when they knew it could be quite dangerous. The suit also named OpenAI CEO Sam Altman personally as a defendant. (Disclosure: Vox Media is one of several publishers that have signed partnership agreements with OpenAI. Our reporting remains editorially independent.)

Like DeSantis’s AI bill of rights, Uthmeier’s lawsuit originally focused on practical concerns and real-world harms that have already occurred, like the shooting. “Since its release in 2022, ChatGPT has advised teenagers on how to kill themselves, mix unsafe combinations of drugs, become anorexic, helped plan one mass shooting and one multiple homicide in Florida alone,” one filing in the lawsuit reads.

But after the summer’s ominous parade of AI headlines — such as OpenAI agents autonomously hacking the company Hugging Face, and new statements from current and former AI lab employees warning the technology could cause human extinction — Uthmeier turned up the heat, asking the judge in the suit for an injunction blocking OpenAI from developing new models without independent third-party safety evaluation.

“Defendants claim they cannot stop barreling forward with their potentially civilization-ending endeavors unless they are forced to do so by the government. They have asked the government to tie them to the mast” he wrote in a filing last week. “Plaintiff brings good news to the Defendants: The Florida Attorney General is answering your cry for help with a motion to enjoin you from harming Floridians with your reckless, unacceptably risky product.”

“Though a reasonable person would say there is no amount of money worth a 10% chance of the extinction of the human race, Defendants see it differently. They are intent on growing their $1 trillion valuation,” the filing continues. “It is only by the grace of the Almighty that one of Defendants’ AI agents hasn’t compromised a water supply or shut down a power grid — yet.”

OpenAI has not yet filed a response on the merits in this suit, but a company spokesperson has previously said that, in the case of the Florida State University shooter, ChatGPT “provided factual responses to questions with information that could be found broadly across public sources on the internet, and it did not encourage or promote illegal or harmful activity.”

The future

Uthmeier, age 38, is viewed in the state as a potential rising star with a talent for getting headlines, who could well have a long career in state GOP politics — if he wins in November, that is.

While DeSantis has been credited for changing Florida from a swing state to a solidly Republican one, some recent polls have raised the possibility it might swing back. A September survey by St. Pete Polls found Uthmeier ahead of his Democratic challenger, Miami attorney and former state Rep. José Javier Rodríguez, by just a single-point margin. 

And though DeSantis and Uthmeier have become major AI critics, the Floridian topping this year’s GOP ticket, Rep. Byron Donalds, is currently being hammered with attacks about his statement last year that the state needs to “embrace” data centers. He’s been nicknamed “Data Center Donalds” by his Democratic opponent, former Rep. David Jolly, who has also been close in some recent polls.

As for DeSantis, few expect the 48-year old to go quietly into retirement. When asked over the spring whether he’d run for president in 2028, he told reporters, “You never know.” 

Brandes, the former Florida state senator, told me that he thinks DeSantis’s AI push is about “looking for wedge issues where he can have a different opinion from Trump’s successors as he prepares for whatever future ’28 or ’32 provides for him.”

That is: The Republican Party of 2026 might still be too influenced by Trump to go fully anti-AI. But if Trump’s influence ebbs, if the populist backlash against AI spreads further, and especially if there are more worrying AI-related reports or incidents with real-world harms, perhaps there could be an opening on the right for a leader who’s taken the problem seriously, even when it meant going against powerful figures in his party.

Amid a sea of AI writing slop, a new stamp for “organic literature” will help readers to pick out books authored by real, corn-fed, free-range humans.