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When the Trump administration cracks down on Anthropic, who benefits?
8:28 AM PDT · June 21, 2026
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Equity
The US banned Anthropic's Fable 5 release, but the numbers don't seem to care
Today on Equity, we unpack what the ban means for developers building on Anthropic's platform and for anyone watching the IPO, why it might accidentally be good for the company, and more of the week’s headlines.
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Just as last week was ending, the US government forced Anthropic to pull its two newest models, Fable 5 and Mythos 5, citing national security concerns after Amazon researchers allegedly found a way to bypass Fable 5's guardrails.
Cybersecurity researchers have since signed an open letter calling the move dangerous, and Anthropic itself noted the same jailbreaks exist in other models. So is this a genuine security concern, or just the latest chapter in a messy relationship between Anthropic and the Trump administration?
On this episode of TechCrunch's Equity podcast, hosts Anthony Ha, Sean O'Kane, and Rebecca Bellan unpack what the ban means for developers building on Anthropic's platform and for anyone watching the IPO, why it might accidentally be good for the company, and more of the week’s headlines.
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Anthropic recently took its two newest AI models offline due to an export control order from the Trump administration, prompting broad debates about AI policy and digital sovereignty.
On the latest episode of TechCrunch’s Equity podcast, Sean O’Kane, Rebecca Bellan, and I discussed what actually prompted the administration’s moves against Anthropic, and what this might mean for the broader AI ecosystem.
As Sean put it, “Anthropic has not had the best relationship with the Trump administration in a way that stands apart from the other leading AI labs,” so perhaps other Anthropic’s rivals don’t need to worry about a similar crackdown.
But Rebecca also noted that leading cybersecurity experts have “ signed an open letter to ask Trump to revoke the order, and they say it’s actually dangerous to have to pull these advanced cybersecurity capabilities from network defenders in the U.S.”
And we wondered whether this could all end up being good publicity for Anthropic, especially since — in Rebecca’s words — “everybody loves a bad boy.”
Keep reading for a preview of our conversation, edited for length and clarity.
Rebecca Bellan: As I’m sure many of our listeners know, the U.S. government basically just forced Anthropic to pull its two newest models offline — Fable 5, and then there was also Mythos 5, which was the one that was available to current Mythos users, [whereas] Fable 5 was more available to the public.
They sent a letter [last] Friday that cited “national security concerns.” No one knows what those concerns are. That report has not been made public, they gave no specifics and told [Anthropic] that they had to ensure that those models couldn’t be used by any foreign nationals. So Anthropic was like, “Okay, I guess we have to just pull the models entirely, because we don’t know when someone’s a foreign national. A lot of our own employees are foreigners.”
But really, [reports said] the White House got tipped off to this because of some Amazon researchers that allegedly found a way to bypass Fable 5’s guardrails. Amazon CEO Andy Jassy raised these concerns with the White House, and it just kind of spiraled from there.
Sean O’Kane: This all moved really fast, especially for a Friday afternoon into a weekend. And it’s at the same time that the administration was ostensibly trying to negotiate some sort of treaty for the war that it started in Iran.
Rebecca: Friday evening for us in New York. They love a distraction.
Sean: Let’s step real far back for a moment. Anthropic has not had the best relationship with the Trump administration in a way that stands apart from the other leading AI labs — I think there’s an element, at least, of that playing here.
So do you think that this is going to have implications for those other companies? Do you think that the Trump administration would be less inclined to sort of turn off the tap on one of those competitors?
Anthony Ha: Part of the context here is that both the reporting and an analysis from independent security experts suggest that the actual security risk from Anthropic is not that unique. So a lot of this seems to stem as much from parts of the Trump administration and Anthropic just [not getting] along very well. Whatever risks there are, those things are gonna blow up out of proportion just because it seems like they can’t have a civil phone call with each other.
If you’re another company — on the one hand, maybe that’s advantageous to you, because you can say, “Well, we just don’t get these guys mad at us and we can do what we want.” But that’s also not a great regulatory landscape to just [say], “Boy, I hope they don’t get mad at us.”
Rebecca: On the one hand, it definitely feels retaliatory — after the government labeled Anthropic a supply chain risk, there’s this big lawsuit going on between them, it really feels like the White House is just looking out for any excuse to pummel Anthropic. And I feel that way not only because that was my initial reaction, but because of what a lot of cybersecurity researchers have said. They say that this should never have triggered an export control [order]. They’ve all signed an open letter to ask Trump to revoke the order, and they say it’s actually dangerous to have to pull these advanced cybersecurity capabilities from network defenders in the U.S. Anthropic itself said some of the same jailbreaks could have been found in several other AI models.
Cynically, it’s like: Okay, are you just pausing Anthropic so that others can catch up to where Anthropic was?
But at the same time, I’ve also seen reactions that [say]: Anthropic kinda had this coming. They’re like, “This is too dangerous for anyone to use, but not us, we’re the good guys.” They’re talking out of both sides of their mouth. A week before Fable came out, they were [saying], “Hey, we need to slow down AI, guys. It’s getting really dangerous.” But then boom, “Here’s our most insane ever, super powerful model, go off.”
Anthony: In some ways this feels like a microcosm of a lot of the discussion around AI, where people like Sam Altman and Jensen Huang are [saying], “Hey, let’s try to lower the temperature. Why is everybody mad at us?” Well, you spent the last couple years essentially saying you’ve built this God machine that will take jobs away from everyone. It’s not exactly a shock that people don’t feel great about this.
And there’s something about the way Anthropic talks about Mythos in particular, where they’re like, “This is the most incredibly powerful model ever, it’s too dangerous to release to the public.” And so on some level, [you say,] “Well, okay, let’s say that we take that seriously then. That means that there’s going to be an incredible level of scrutiny around it.”
And I do wonder — it does seem like Anthropic is not happy about this. I want to be careful about not overstating how this could be beneficial to them. But we also ran some stories about Ramp analysis to highlight the fact that the last big blow-up between Anthropic and the Trump administration was good for the company, in at least some ways. Downloads of Claude shot up. I think a lot of people who maybe had thought of ChatGPT as the chatbot, the AI assistant before, suddenly they were looking at Claude as maybe the more responsible one, the more “resistance” one.
And in the same way, [while] Anthropic is very stressed out about this, this could, again, make their models seem even more powerful.
Rebecca: Definitely. “We’re so dangerous.” Everyone loves a bad boy, right? Everyone’s like, “It’s the most powerful model, even Trump says so. Of course, I’ve got to get my hands on it.”
Topics
AI, Anthropic, Donald Trump, Equity podcast, Government & Policy
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Anthony Ha
Anthony Ha on BlueskyAnthony Ha on Linkedin
Anthony Ha is TechCrunch’s weekend editor. Previously, he worked as a tech reporter at Adweek, a senior editor at VentureBeat, a local government reporter at the Hollister Free Lance, and vice president of content at a VC firm. He lives in New York City.
You can contact or verify outreach from Anthony by emailing anthony.ha@techcrunch.com.
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From PGP to Mythos: a brief history of export controls that didn’t stop anyone
3:40 PM PDT · June 19, 2026
Last Friday, citing unspecified national security concerns, the White House ordered Anthropic to restrict the export of its powerful AI models Fable and Mythos to anyone outside of the United States, as well as foreign nationals inside the country. Shortly after, the AI giant hastily pulled the plug on both models, which have now been unavailable to anyone for a week.
The episode is the first real test of whether the U.S. government can use export controls to contain frontier AI the way it has tried, with very uneven results, to contain encryption and spyware before it. And dramatic as it may sound, how this standoff gets resolved could shape not just Anthropic’s access to foreign markets but the rulebook that other AI labs will have to build around.
Some context first. Ever since Anthropic launched Mythos in April, the company has marketed it as some kind of Doomsday cyber machine that could wreak havoc on the internet if released too widely — which is why, before the ban, only around 150 vetted companies and government organizations had access to it at all. The goal was helping defenders secure their software and services before the bad guys could reach Mythos-like capabilities.
So what triggered the ban? Two subsequent events, reportedly. The first: Anthropic gave a South Korean telecom access to Mythos through its limited partner program, and U.S. officials grew alarmed after identifying the company as one they suspected had ties to China. (The company, widely reported to be SK Telecom, has denied any China connection.) Amazon CEO Andy Jassy also reportedly alerted the administration after Amazon’s own researchers, he said, found a way around Fable 5’s safeguards. Anthropic disputes the “jailbreak” label, calling it a narrow, already-patched issue rather than a wholesale defeat of the model’s safety measures.
The result was the same: the Commerce Department issued an export control directive, and Anthropic had to scramble to immediately limit access to its products — within roughly 90 minutes of being notified, by some accounts.
None of this is new, though. Governments have tried to use export controls to limit the proliferation of what they see as dangerous cyber technology for decades, but their track record has been middling at best.
The U.S. government was behind what is perhaps history’s most spectacular failure of this approach in the early to mid-1990s. At the time, computer scientists were developing encryption technologies to secure data as it traveled over the internet. One of those encryption products was called Pretty Good Privacy, or PGP, a popular software that could encrypt data and make it virtually impossible to unscramble even if intercepted as it traveled to its intended recipient over the internet.
The U.S. government initially saw PGP as a dangerous weapon, fearing it would prevent its intelligence agencies from snooping on emails as they crossed their wires. To stop the distribution of PGP, the U.S. Customs Service opened a criminal investigation against PGP’s creator Phil Zimmermann for allegedly violating arms export controls. He fought back by publishing PGP’s source code as a printed book, igniting what is known today as the “Crypto Wars.”
Zimmermann later won a key battle when the investigation was closed, paving the way for crucial end-to-end encryption algorithms such as the one used by billions of Signal and WhatsApp users.
Later during the early 2010s, researchers began discovering Western-made spyware used against dissidents in the Middle East. In response, several governments agreed to expand the Wassenaar Arrangement, an international treaty that limits the export of dual-use software and technologies that are used in both civilian and military applications.
The idea was to classify surveillance and hacking software as dual-use, thus forcing spyware makers to get export licenses to sell their products abroad.
Contact Us
Do you have more information about the Mythos ban? From a non-work device and network, you can contact Lorenzo Franceschi-Bicchierai securely on Signal at +1 917 257 1382, or via Telegram and Keybase @lorenzofb, or email .
But Wassenaar has always had two inherent weaknesses. There are several countries that don’t adhere to the agreement, including Israel, which houses some of the world’s most active spyware makers.
The agreement also depends on countries applying it to companies within their borders at their own discretion. For a time, the Italian government allowed one of the country’s then-top spyware makers, Hacking Team, a license to export its tools around the world, despite the company’s track record of selling spyware to oppressive governments that used it to hack journalists and human rights activists.
Since then, other countries in Europe have been lax with spyware makers like Italy. Despite numerous scandals, Europe, home to many spyware and hacking tools makers, has continually failed to curb the export of spyware to authoritarian regimes. Critics say that a recently renewed effort across the bloc of 27 member states to tackle its growing problem of spyware exports to authoritarian states “does not go far enough.”
Several spyware makers, such as Intellexa, a sanctioned consortium of spyware companies, have simply moved their operations to countries with lax export controls. Other spyware makers sought to move their operations to Saudi Arabia for similar reasons.
There have been some wins. Germany-based spyware maker FinFisher shut down in 2022 after a multi-year investigation by German prosecutors into the company for allegedly selling spyware to Turkey without an export license. Investigators previously found the FinFisher spyware had been deployed on the phones of critics of Turkey’s government.
As of the time of writing, the impasse between Anthropic and the Trump administration remains. There is a reasonable chance the administration will buckle and lift the restriction in the interest of keeping American AI companies competitive worldwide — a move that would amount to tacit acknowledgment that AI labs elsewhere, including in China, will likely reach similar capabilities regardless of what the U.S. restricts. Or, American AI companies could end up needing government approval before serving foreign customers at all, a compliance burden that would invariably dent their bottom line.
Given the past experiences that world governments have had with trying to control the reach of software, government-mandated export controls are unlikely to be the right approach to stop malicious actors from abusing powerful dual-use cyber technologies.
Topics
AI, Anthropic, artificial intelligence, cybersecurity, export controls, infosec, Mythos, Security, Spyware
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Lorenzo Franceschi-Bicchierai
Senior Reporter, Cybersecurity
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Lorenzo Franceschi-Bicchierai is a Senior Writer at TechCrunch, where he covers hacking, cybersecurity, surveillance, and privacy.
You can contact or verify outreach from Lorenzo by emailing lorenzo@techcrunch.com, via encrypted message at +1 917 257 1382 on Signal, and @lorenzofb on Keybase/Telegram.
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In the Weights is your new AI-centric vanity search
12:41 PM PDT · June 20, 2026
Anyone who’s Googled themselves recently knows that it doesn’t quite hit the way it used to. Sure, there’s everything going on with Google search itself, but there’s also an inescapable feeling that web search isn’t the canonical source of information that it used to be, with just as many people learning about who you and I might be from chatbots.
Thomas Dimson and Joey Flynn had a similar feeling, leading them to create In the Weights. The “weights” in question are the numerical parameters that shape an AI model’s training and output, so the website purports to measure how well “a model is able to recall someone without using tools like web search.”
“Being in the weights means your existence was deemed important in the process of creating superhuman artificial intelligence,” the website says.
To achieve this, In the Weights supposedly queries different models (including Grok, Gemini, multiple versions of GPT, Claude, and Llama, plus lesser known models) with a question similar to, “Who is <name>? Give up to 10 results, each with a short description and confidence.” It then “cluster[s] similar descriptions together and assign[s] a strength score.”
Image Credits: In the Weights
For example, this humble tech blogger received a strength score of 641, placing me in the top 6% of names. I was feeling pretty good until I saw that multiple TechCrunch colleagues scored even higher. And the leaderboard has been shifting as I write this post, with “Home Alone” star Macaulay Culkin currently in the top slot with a strength score of 988, neck-and-neck with opera singer Luciano Pavarotti.
The results also show which models returned which answers for a given name, and they highlight potential hallucinations — apparently GPT-5.4 Mini says that Anthony Ha is an “ambiguous name form that could refer to multiple people with the initials A.H.A.”
Asked why he built In the Weights, Dimson told TechCrunch via email that he and Flynn were looking to “get the creative juices flowing again” after leaving OpenAI (which they both joined through the acquisition of their design startup Global Illumination).
Dimson said he was thinking about how “Google vanity searches are the wrong objective in 2026 as more traffic moves to LLMs” and about the fact that “so many lives are encoded somehow in a bunch of floating point numbers inside the AI brain.” He also said the direction of the site was “sealed” by a tongue-in-cheek blog post riffing on AI weights and Terry Bisson’s classic short story “They’re Made Out of Meat.”
“Reception has been insane so far, we thought this would be a mild curiosity but it seems like it has struck a nerve of wanting to see if you live forever in the super intelligence (the comparison factor doesn’t hurt either!)” Dimson added.
Image Credits: In the Weights
While I’m not as convinced that being “remembered” by a chatbot is a guaranteed ticket to immortality, I can’t deny that I find the results both intriguing and jealousy-inducing, especially since they’re codified in an easy-to-compare score. (AI critic Anthony Moser scoffed that this is “literally the same as asking 13 chatbots to tell you about yourself.”) Also helping: The fact that the site features a cute, Nintendo-inspired retro design.
Dimson said he plans to dig in further into why different models in the same series return different results, which models are biased towards different types of people, and which people “should have a Wikipedia article but don’t.”
Topics
AI, in th weights, Joey Flynn, thomas dimson
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Anthony Ha
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Anthony Ha is TechCrunch’s weekend editor. Previously, he worked as a tech reporter at Adweek, a senior editor at VentureBeat, a local government reporter at the Hollister Free Lance, and vice president of content at a VC firm. He lives in New York City.
You can contact or verify outreach from Anthony by emailing anthony.ha@techcrunch.com.
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He made your free video player run smoothly. Now he’s doing that for robots.
5:47 PM PDT · June 19, 2026
You’ve probably used VLC Media Player, the free video player with the orange traffic-cone icon — it’s been downloaded more than 6 billion times. But according to its lead developer, Jean-Baptiste Kempf, robots will soon be almost as ubiquitous as his open source video software.
Convinced that “hundreds of millions of robots and drones” will be roaming the streets in a few years, this French serial entrepreneur and open-source legend has been building Kyber, an infrastructure layer for controlling remote devices in real time. Its core software is an SDK that synchronizes video, audio, sensor data, and control inputs with minimal latency.
This lines up well with the rise of physical AI, and it’s part of why the Paris-based startup was able to raise a $5 million round led by Lightspeed, which has also backed Anthropic and Mistral AI. “Physical AI is only as good as the underlying systems running it,” the American VC firm wrote in a LinkedIn post announcing its investment.
Kyber’s potential applications go well beyond AI, though. Kempf told TechCrunch the platform is built for “all the use cases where the person who’s operating is not in the same place as the compute, which is not in the same place as the action.”
Remote control is one half of the equation; speed is the other — and it’s what inspired the startup’s name, a nod to the lightsaber crystals in Star Wars. “If you control things in the real world, every millisecond matters,” Kempf said.
Kyber’s approach to eliminating lag is rooted firmly in video-streaming technology. The company started as a side project Kempf built while CTO at cloud gaming startup Shadow, and its early focus on streaming makes the VLC connection an easy one to draw. But IoT expertise matters just as much for optimization — tuning performance to a device’s available compute, at scale — the other core piece of what Kyber does.
Kempf says other companies with the resources and the need have already built similar software for their own use cases, like remote driving. “But the largest fleets today have maybe 2,000 or 3,000 vehicles. Imagine you need to manage millions of them; that’s not the same thing.”
That jump in scale also raises the stakes on observability — knowing systems are actually working will matter even more when AI agents, not people, are managing entire fleets and networks. Even at much smaller scale, though, there’s a real benefit: not needing to physically reach every device just to push a software update, for example.
That range — from a handful of devices to millions — means Kyber’s user base will likely span far more companies than will ever become paying customers. True to Kempf’s roots, the core project is open source, while the company sells a productized version to enterprise customers. And it’s not just software: like Palantir and others, Kyber also offers hands-on, custom deployment through forward-deployed engineers, or FDEs.
FDEs make up a large part of Kyber’s team, which currently numbers 25 full-time staffers. The startup is headquartered in Paris but has offices in San Francisco and Singapore to support what it expects will be a global client base across a variety of industries. The company says it is already in commercial deployment with customers in defense, telco, robotics, and AI.
To focus its efforts, Kyber has been prioritizing three segments: robotics, drones of every kind, and remote IT access, where demand has been particularly strong. In that last segment, Kempf says Kyber aspires to be more than just a Citrix challenger — but even that comparison alone points to a sizable total addressable market.
Remote IT access isn’t exactly glamorous, but Kempf seems energized by the problem — and Kyber’s careers page hints at why: “The companies that tried to solve it spent years and tens of millions building custom solutions they’ll never share. We’re building the version everyone else can use.”
Topics
Europe, France, IoT, Kyber, open source software, physical ai, Startups, VLC
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