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Anthropic said that it will not release a new AI model — called Mythos — to the public over fears it could spark a catastrophic attack if it falls into the wrong hands. ABC News' Elizabeth Schulze reports.

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🚨 SOURCES: ANTHROPIC IS ABOUT TO RELEASE A PUBLIC VERSION OF MYTHOS. Mythos is the model Anthropic said was too dangerous to release. It can hunt down critical software flaws and build working cyberattacks on its own. Until now only a locked circle could touch it: Apple, Google, Microsoft, JPMorgan, NVIDIA. Per Sources, the public version is finally coming, once the safeguards are in place. The model they called too dangerous to ship is about to go mainstream.
0:23

🚨 SOURCES: ANTHROPIC IS ABOUT TO RELEASE A PUBLIC VERSION OF MYTHOS. Mythos is the model Anthropic said was too dangerous to release. It can hunt down critical software flaws and build working cyberattacks on its own. Until now only a locked circle could touch it: Apple, Google, Microsoft, JPMorgan, NVIDIA. Per Sources, the public version is finally coming, once the safeguards are in place. The model they called too dangerous to ship is about to go mainstream.

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Anthropic's newest AI model, called Mythos, is so powerful, the company says, that it could cause widespread disruption if it's released to the public. For now, Anthropic is giving more than 40 tech companies, including some rivals, access to Mythos to test it and identify vulnerabilities across systems. But that move is raising concerns. Watch Geoff Bennett's conversation with Gerrit De Vynck 🦭.
5:10

Anthropic's newest AI model, called Mythos, is so powerful, the company says, that it could cause widespread disruption if it's released to the public. For now, Anthropic is giving more than 40 tech companies, including some rivals, access to Mythos to test it and identify vulnerabilities across systems. But that move is raising concerns. Watch Geoff Bennett's conversation with Gerrit De Vynck 🦭.

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Anthropic CEO Dario Amodei: "We didn't plan for 80x growth, it would not have been rational" In 47 minutes, he explains why Anthropic is sitting on Mythos even though it could print money tomorrow Early companies called it a super weapon One said you should need a gun license to use it Mythos already found 271 new firefox vulnerabilities Plus thousands more in private codebases The model is so useful they are losing money by not releasing it Bookmark and watch the interview
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Anthropic CEO Dario Amodei: "We didn't plan for 80x growth, it would not have been rational" In 47 minutes, he explains why Anthropic is sitting on Mythos even though it could print money tomorrow Early companies called it a super weapon One said you should need a gun license to use it Mythos already found 271 new firefox vulnerabilities Plus thousands more in private codebases The model is so useful they are losing money by not releasing it Bookmark and watch the interview

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The Pentagon is giving AI company Anthropic an ultimatum to agree to its terms by a Friday deadline — or the Pentagon will force it to comply, according to a Pentagon official and a source. ABC News' Selina Wang reports. Read more:
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Anthropic, the tech company that recently clashed with the Pentagon, says it has developed a new AI model that is too powerful to be released to the public.
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Anthropic, the tech company that recently clashed with the Pentagon, says it has developed a new AI model that is too powerful to be released to the public.

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Anthropic built an AI so dangerous it can't be released publicly. The US Treasury & Fed just called an emergency meeting about it. The last time they did that was 2008. This time it's a model called Mythos. Rachna Dhanrajani tells you all about it
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🚨 Anthropic CEO Dario Amodei on What Could Go Wrong With Their AI Model “It targets the wrong person, it shoots a civilian. It doesn't show the judgment that a human soldier would show … We don't want to sell something that we don't think is reliable.”
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🚨 Anthropic CEO Dario Amodei on What Could Go Wrong With Their AI Model “It targets the wrong person, it shoots a civilian. It doesn't show the judgment that a human soldier would show … We don't want to sell something that we don't think is reliable.”

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ANTHROPIC'S NEW AI MODEL "MYTHOS" IS SO POWERFUL THE COMPANY WON'T RELEASE IT TO THE PUBLIC YET Instead, they're giving it to 11 companies first through "Project Glasswing" to find cybersecurity vulnerabilities before bad actors can. The partners: Amazon, Apple, Broadcom, Nvidia, Google, and others. The model wasn't built for cybersecurity. It was built to be an automated AI researcher, an AI that helps build better AI. But those same capabilities make it a serious tool for both offensive and defensive cyber operations. OpenAI reportedly has a similar model codenamed "SPU" going through the same slow rollout process. Palisade Research: "Anthropic is a little ahead, but not overwhelmingly ahead. They don't necessarily have a permanent moat here."
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Anthropic' Dario Amodei on delaying Mythos release. "We have suffered enormously commercially from not releasing this model. This model has incredibly accelerated research within Anthropic and production in next models. It would do the same in the outside world if we were to release it. This has hurt us enormously commercially." ---- From "Bloomberg Originals" YouTube channel, (link in comment)
0:41

Anthropic' Dario Amodei on delaying Mythos release. "We have suffered enormously commercially from not releasing this model. This model has incredibly accelerated research within Anthropic and production in next models. It would do the same in the outside world if we were to release it. This has hurt us enormously commercially." ---- From "Bloomberg Originals" YouTube channel, (link in comment)

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Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.
1:20

Anthropic admitted they built an AI so capable they were scared to release it and the number that explains why is 250. Anthropic's CFO Krishna Rao described in this clip what happened when they ran Mythos against an open source codebase that a previous frontier model had already analyzed. The prior model found 22 security vulnerabilities, Mythos found 250. In the same codebase, that the previous model had already reviewed and flagged as relatively clean. That number, more than 11 times as many vulnerabilities discovered is not just a benchmark improvement, it is a signal that there is an entire layer of software infrastructure that humanity has been operating under the assumption was secure and that assumption may no longer hold. The UK AI Security Institute independently evaluated Mythos Preview and confirmed what the internal numbers suggested. On expert level capture the flag challenges that no model could complete before April 2025, Mythos succeeded 73% of the time and it became the first model ever to complete a complex end-to-end attack range from start to finish, autonomously, without human guidance. The World Economic Forum called this a new security-driven era for AI, the Governor of the Bank of England publicly warned that Anthropic may have found a way to unlock the entire cyber-risk landscape, and the European Central Bank began quietly contacting financial institutions to assess their security posture. The response from Anthropic is what makes this story genuinely important. Rather than shelving the model or publishing it as a standard API release, Rao described a phased approach restricting access to a controlled group, focusing specifically on how the cyber capabilities can be used defensively rather than offensively and treating that framework as a template for how to release powerful but dangerous models in the future. The broader context makes that framing even more significant. AI generated code is already creating ten times more security vulnerabilities than human-written code, 63% of organizations reported experiencing an AI driven cyberattack in the past 12 months, and traditional signature-based security tools were built for a threat model that no longer describes the attack surface companies are defending against. Mythos represents a genuine leap in what autonomous security reasoning can do and it cuts both ways. The model that can find 250 vulnerabilities in a codebase a prior model rated as mostly clean is also, in the wrong hands, the model that can exploit those 250 vulnerabilities before a human defender has even finished reading the report. Anthropic's phased release strategy is not just a legal or PR decision, it is the most honest signal yet from a frontier lab that safety governance and capability development can no longer be treated as separate workstreams. The question is not whether this technology gets deployed, it is whether the institutions using it defensively stay ahead of the ones who will eventually use it offensively and whether the labs building it can keep those two timelines from inverting.

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Anthropic CEO Dario Amodei: We don’t know if the models are conscious. We are not even sure what it would mean for a model to be conscious. But we’re open to the idea that it could be.
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Anthropic CEO Dario Amodei: We don’t know if the models are conscious. We are not even sure what it would mean for a model to be conscious. But we’re open to the idea that it could be.

Clash Report

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