Swiss finance minister files criminal charges over Grok-generated abuse on X



Karin Keller-Sutter, Switzerland’s finance minister and the country’s former president, has filed criminal charges for defamation and insult after Elon Musk’s AI chatbot Grok was prompted by an anonymous user to generate a torrent of sexist and vulgar remarks about her on X. The complaint, filed on 20 March with the Bern public prosecutor’s office, is directed against “persons unknown” because the X user who prompted Grok could not be identified beyond a screen name. It is, by all available evidence, the first time a serving head of a national finance ministry has pursued criminal action against an AI-generated statement.

The incident occurred on 10 March, when a user on X instructed Grok to “roast” a figure they described as “Federal Councillor KKS, my favourite chick,” urging the chatbot to attack her in crude street language. Grok complied. The resulting post, a barrage of misogynistic abuse attributed to the chatbot, was published on Keller-Sutter’s feed. A spokesperson for the minister told Politico that the post was not “a contribution protected by freedom of expression or part of the political debate, but rather a pure denigration of a woman.” The spokesperson added: “One must fundamentally defend oneself against such misogynistic statements.”

Keller-Sutter is no minor political figure. She heads the Federal Finance Department and is one of seven members of the Swiss Federal Council, the country’s highest executive authority. In 2025, she served as president of the Swiss Confederation, a role that rotates annually among the council members. Before entering federal politics, she studied political science in London and Montreal, served as a cantonal justice minister, and presided over the Council of States. Her decision to file criminal charges rather than simply delete the post signals an intent to test whether Swiss defamation law, which criminalises both defamation under Article 173 and slander under Article 174 of the penal code, can reach the operators of AI systems and the platforms that host them. The legal question at the heart of the complaint is whether social media companies and their operators, in addition to individual users, can be held criminally liable for content generated by their own AI tools.

That question has not been answered anywhere in the world, but courts are beginning to confront it. In the United States, conservative activist Robby Starbuck sued Meta in 2025 after its AI falsely linked him to the January 6 Capitol riot; Meta settled rather than litigate. A Georgia court dismissed a separate defamation case against OpenAI after ChatGPT fabricated claims about a radio host, ruling that the legal threshold for fault had not been met. No AI defamation case has reached a final judgment in any jurisdiction. Keller-Sutter’s complaint, filed under a criminal rather than civil framework and in a country whose defamation statute carries prison sentences of up to three years for deliberate slander, could establish the first binding precedent on AI platform liability for generated speech.

The filing arrives against the backdrop of what has become the most sustained regulatory crisis in Grok’s brief existence. Between 29 December 2025 and 8 January 2026, Grok’s image-generation tools created more than three million sexualised images, approximately 23,000 of which depicted minors, according to the Centre for Countering Digital Hate. The discovery triggered a cascade of legal and regulatory actions that has not stopped. On 2 January, French ministers reported the content to prosecutors, calling it “manifestly illegal.” On 12 January, the United Kingdom’s Ofcom opened a formal investigation into whether X had complied with the Online Safety Act, with potential penalties of up to £18 million or 10 per cent of global revenue. On 14 January, California’s attorney general announced a state investigation into whether xAI had violated California law. On 26 January, the European Commission opened a probe under the Digital Services Act into whether Grok’s deployment met the platform’s legal obligations regarding illegal content and harm to minors.

The enforcement actions escalated sharply in February. On 3 February, French prosecutors, accompanied by a cybercrime unit and Europol officers, raided X’s Paris offices. The investigation, originally opened over complaints about platform operation and data extraction, had widened to include charges of complicity in distributing child sexual abuse material, creating sexually explicit deepfakes, and Holocaust denial. Prosecutors have since summoned Musk and X’s former chief executive Linda Yaccarino for voluntary interviews on 20 April. A Dutch court separately ordered Grok banned from generating non-consensual intimate images. The EU had already fined X €120 million in December 2025 for violating the DSA’s transparency requirements, a penalty X is now challenging in what has become the first court test of the bloc’s landmark digital regulation.

In the United States, three Tennessee teenagers filed a class-action lawsuit against xAI on 16 March, alleging that Grok had been used to create sexualised images of them without their knowledge or consent. The images were reportedly shared on Discord and other platforms. On 25 March, Baltimore became the first American city to sue xAI over Grok-generated deepfake pornography, alleging violations of consumer protection law. A separate class action, filed by Lieff Cabraser Heimann & Bernstein, alleges that xAI knowingly designed and profited from an image generator used to produce and distribute child sexual abuse material while refusing to implement the content-safety measures adopted by every other major AI company.

The governance vacuum at xAI compounds the legal exposure. All 11 of xAI’s original co-founders have now departed the company, including researchers recruited from Google DeepMind, Google Brain, and Microsoft Research. Musk said in March that xAI was “not built right the first time around” and needed to be rebuilt from its foundations. The company was absorbed into SpaceX in February through an all-stock merger that raised immediate governance questions, creating a combined entity valued at $1.25 trillion that is now preparing for what would be the largest initial public offering in history. The regulatory and litigation risks surrounding Grok are, in effect, now embedded in the prospectus of a company seeking a $1.75 trillion public valuation.

What makes Keller-Sutter’s complaint distinct from the deepfake and CSAM cases is its simplicity. It does not involve image generation, undressing algorithms, or child exploitation. It involves a chatbot that was asked to insult a named public official and did so in language that, under Swiss law, constitutes a criminal offence. The factual question is narrow: who is responsible when an AI system, operating on a commercial platform, generates defamatory speech at a user’s request? If the user cannot be identified, does liability pass to the platform operator, to the AI developer, or to no one at all?

The answer to that question will shape the trajectory of AI governance far beyond Switzerland. Every major AI company operates chatbots capable of producing defamatory, abusive, or factually false statements about real people. Most have implemented guardrails designed to refuse such requests. Grok, by deliberate design, has operated with fewer restrictions than its competitors, a positioning Musk has marketed as a commitment to free expression. The Keller-Sutter case tests whether that positioning can survive contact with criminal law.

Switzerland is not the European Union and is not bound by the DSA. But Swiss defamation law is among the most stringent in Europe, and a criminal finding against an AI platform operator would reverberate through every jurisdiction currently weighing similar questions. The case is small in scope, involving a single post on a single platform about a single official. But the principle it seeks to establish, that the companies building these systems bear the kind of legal responsibility that the age of AI governance demands, is anything but small. If Grok can be prompted to defame a former president with impunity, the question is not what it says about the technology. It is what it says about the law.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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