惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Martin Fowler
Martin Fowler
D
DataBreaches.Net
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
博客园_首页
Apple Machine Learning Research
Apple Machine Learning Research
H
Help Net Security
M
MIT News - Artificial intelligence
美团技术团队
人人都是产品经理
人人都是产品经理
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
The Cloudflare Blog
有赞技术团队
有赞技术团队
L
LangChain Blog
博客园 - Franky
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 【当耐特】
S
SegmentFault 最新的问题
V
Visual Studio Blog
Blog — PlanetScale
Blog — PlanetScale
Hugging Face - Blog
Hugging Face - Blog
B
Blog
I
InfoQ

MIT Technology Review

Why do South Koreans love AI so much? This man with ALS is “the first power user” of a brain implant that lets him speak The Download: cutting AC emissions, and nature’s drug designer These new solid-state ACs promise a cool future. Scientists aren’t so sure. The Download: “reprogramming” aging, and the hidden sense of interoception You do your own time Why “reprogramming” is the buzziest approach to reversing aging right now Inside interoception: The hidden sense of how you feel inside The Download: soccer’s data renaissance and China’s big nuclear plans Google DeepMind is worried about what happens when millions of agents start to interact Job titles of the future: Nature’s drug designer Inside soccer’s data renaissance Why China is betting on big nuclear reactors The Download: the “steroid olympics” and a safer Mythos The “steroid olympics” were a circus—and a window into our culture The Download: whole-body rejuvenation drugs and five things to know about AI Learning to lead in a hybrid human-AI enterprise David Sinclair plans to test whole-body rejuvenation drugs in the XPrize competition Five things you need to know about AI The Download: how the World Cup ball will fly and OpenAI’s “super app” Why this year’s World Cup ball may not fly as far The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains Are AI chatbots making us lose control of our brains? The Meta hack shows there’s more to AI security than Mythos The Download: AI-generated lawsuits and virtual power plants for data centers How courts are coping with a flood of AI-generated lawsuits How virtual power plants could provide energy for data centers The Download: Trump’s new AI order, and smart glasses for warfare The Download: AI can run your admin department now Rehumanizing global health care with agentic AI
Three things to watch amid Anthropic’s latest feud with t...
James O'Donnell · 2026-06-23 · via MIT Technology Review

Skip to Content

Anthropic’s standoff with Washington has already raised new questions about AI safety and sovereignty—and about Chinese competition.

collage of Dario Amodei in front of the White House with Truth Social posts

Stephanie Arnett/MIT Technology Review | Getty Images

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

For those of you enjoying your summer unaware of Anthropic’s latest feud with the US government, here’s a recap: In April the company said it had built an AI model called Mythos that was so good at working with code it could pose a global cybersecurity threat. Anthropic gave access to a small group of cybersecurity experts so they could see what they were up against. Then it released a modified version called Fable which it said was safer to the public on Tuesday, June 9. That Friday, the federal government told the company it was a threat to national security and placed export controls on the new release. Anthropic revoked access to both models hours later.

People worried about catastrophic effects of AI—broadly labeled “doomers”—have said for years that the technology poses a threat to humanity and published proposals for how the government should intervene in its development. The doomers just got their government intervention—not over a bioweapon or rogue AI, but in response to an AI model that’s basically just really good at coding. And the result so far looks less like a safety plan than like a superficial reaction.

There’s plenty to dissect about what happened in those few days that led to such drastic action from the government, and it’s notable that Amazon CEO Andy Jassy was the one who told government officials that Fable would be dangerous (Amazon is both invested in Anthropic and building its own competing AI models). It's also possible this will be a short-lived ban from the government that doesn’t survive legal scrutiny (it’s not clear that Anthropic’s offering access to Fable really counts as “exporting” it, for example). 

But there are ripple effects happening already. 

For one, this is making a whole lot of people not want to rely on American AI companies. TheFrench politician Bruno Retailleau described it as a “wake-up call” that should motivate Europe to build more AI. But any vision of turning Paris into Silicon Valley—touted by many other European leaders following the shutdown of Anthropic’s models—is complicated by one big thing: China. 

Open-source models from China are very capable and incredibly cheap, and they can be downloaded to run on anyone’s servers with no rules or guardrails. (This makes them attractive to companies that don’t want access turned off on the basis of a decision from the White House—but equally attractive to cybercriminals, the type that Anthropic hoped to fend off by building safety guardrails into its models.) 

It’s possible that companies, including those in the US and Europe, will decide that working with Chinese models is just easier, as the skyrocketing of shares in the Chinese startup Zhipu suggests. Playing this forward, is it possible the government’s next drastic decision will be to say that US companies using models from China pose a threat to national security? I wouldn’t write it off. 

Second, it’s possible that shutting off access to Anthropic’s models will leave the country morevulnerable to cybersecurity attacks, not less. Leading cybersecurity experts have said as much in an open letter to the government, writing that access to Anthropic’s models was helping researchers prepare defenses, and that the company’s models are no more dangerous than other leading models that are widely available. Such is the risk of applying the concept of nonproliferation to software—trying to control and restrict dangerous AI models in the manner of the uranium used for nuclear weapons. 

The third thing worth watching is how US lawmakers will react. Remember that following Anthropic’s last feud with the government over how the Pentagon could or could not use its models, a slate of new bills was introduced that would define the limits of military AI.

Right now, the biggest players shaping how AI gets used are the companies and the White House. There’s been much talk about more federal AI regulation, and polling suggests most Americans want it. Lawmakers are still figuring out whether to form rules on how kids use chatbots and are far from a clear answer on the extent to which the government should vet the safety of AI models. But with every drastic action from the White House, the pressure for regulations rises.

To state the obvious, predictions are hard when the administration’s attitudes toward AI  change with the wind. When President Trump took office, he threw out the restrictive rulebook for how to make AI safe and promised to get out of the way of tech companies. The White House has now called the most valuable AI startup a risk to national security once in the spring, and again in summer. What will fall bring?

Deep Dive

Artificial intelligence

Stay connected

Illustration by Rose Wong

Get the latest updates from
MIT Technology Review

Discover special offers, top stories, upcoming events, and more.