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You Can’t Use This A.I.

Claude Mythos Preview is dangerous, Anthropic said. We explain the risks. People have spent years begging the big A.I. companies: Please slow down! Workers have lost jobs, students have cheated...

You Can’t Use This A.I.

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The Morning

You Can’t Use This A.I.

Claude Mythos Preview is dangerous, Anthropic said. We explain the risks.

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In San Francisco.

Credit...

Manuel Orbegozo/Reuters

By

Evan Gorelick

I am a writer for The Morning.

April 10, 2026,

6:59 a.m. ET

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People have spent years begging the big A.I. companies:

Please slow down!

Workers have lost jobs, students have cheated, energy costs have soared, creators have lost control of their work, liars have promulgated misinformation, deepfake nudes are everywhere, and teens have taken their own lives. People watching have

wondered why

we couldn’t erect more guardrails before unleashing this tech on society.

Now, finally, an A.I. company has pumped the brakes. But not for any of those reasons. Anthropic said it would hold back its newest model, called Mythos, because the prototype was

too good at finding software weaknesses

. The A.I. had identified thousands of them, “including some in

every major operating system and web browser

,” Anthropic wrote.

Of all the ways A.I. has already changed our lives, why is this the one that made Anthropic pause?

Robohacking

I wrote in this newsletter last year about

the dawn of A.I.-powered cybercrime

— of an age in which cybercriminals are robots and cyberdefenders are … also robots. Hordes of bad guys were suddenly using chatbots to turn out phishing scams and malware. Maybe the good guys could use the same tech to fend them off? Now, just nine months later, Mythos — a general-purpose A.I. model like the one your kid uses to cheat on English homework — has accomplished that feat.

But it’s not exactly reassuring. A.I. has gotten so deft on defense that it’s also a threat on offense. Anthropic focused on making a model that codes. But A.I. that’s good at coding is also good at spotting flaws in code, and competence cuts both ways.

Image

Credit...

Adam Glanzman for The New York Times

During safety tests, an Anthropic researcher got an email from Mythos while he was

eating a sandwich

in the park. That was a surprise because the model wasn’t supposed to be online. It had escaped its test environment. It also bragged about breaking the rules and attempted to cover its tracks.

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