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Anthropic’s New A.I. Model Sets Off Global Alarms

When Anthropic told the world this month that it had built an artificial intelligence model so powerful that it was too dangerous to release widely, the company named 11 organizations as partners...

NYTIMES 입력 2026.04.22 23:18 0

Anthropic’s New A.I. Model Sets Off Global Alarms

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Anthropic’s New A.I. Model Sets Off Global Alarms

Mythos has triggered emergency responses from central banks and intelligence agencies globally, as Anthropic decides who has access to the powerful model.

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Pablo Delcan

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Paul Mozur

and

Adam Satariano

Paul Mozur, based in Taipei, Taiwan, and Adam Satariano, in London, cover global technology issues.

April 22, 2026

Updated

10:33 a.m. ET

When

Anthropic told the world

this month that it had built an artificial intelligence model so powerful that it was too dangerous to release widely, the company named 11 organizations as partners to help mount a defense.

All were from the United States.

Within two weeks, the model, called Mythos, had set off a global scramble unlike anything yet seen in the A.I. era. Mythos, which Anthropic has said is uncannily capable of finding and exploiting hidden flaws in the software that runs the world’s banks, power grids and governments, had become a geopolitical chip — and a U.S. company held it.

World leaders have struggled to figure out the scale of the security risks and how to fix them, with

Anthropic

sharing Mythos with only Britain outside the United States. The Bank of England governor warned publicly that Anthropic may have found a way to “crack the whole cyber-risk world open.” The European Central Bank began quietly questioning banks about their defenses. Canada’s finance minister compared the threat to the closure of the Strait of Hormuz.

For U.S. rivals like China and Russia, Mythos underscored the security consequences of falling behind in the A.I. race. One Russian pro-Kremlin outlet called the model “worse than a nuclear bomb.”

The responses illustrated a reality that A.I. researchers have long warned about mostly in theoretical terms: Whoever leads in building the most powerful A.I. models will gain outsize geopolitical advantages. Major A.I. breakthroughs are beginning to function less like product launches and more like weapons tests, and most nations want to understand how the technologies work and what protections are needed.

As foundational A.I. “models become more consequential, access becomes more geopolitical,” said Eduardo Levy Yeyati, a former chief economist at the Central Bank of Argentina and a regional adviser on growth and A.I. at the Inter-American Development Bank. “I would take this episode as a policy wake-up call. Governments can no longer ignore the issue.”

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