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🚨 ANTHROPIC JUST REVEALED CLAUDE MYTHOS ABILITIES Anthropic just formally announced "Claude Mythos Preview" and launched "Project Glasswing" to deploy it for cybersecurity defense. The models are unlocking completely new, autonomous behaviors. This isn't about slightly better benchmark scores. This is about what the model can do. Here are...

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Chris

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46,155 Aufrufe • vor 4 Monaten •via X (Twitter)

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$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.
0:57

$AMZN AWS CEO said Anthropic’s latest models are being trained on Trainium (including Mythos) which Anthropic describes as its most capable model yet. That is notable because Anthropic is limiting Mythos due to cybersecurity risk & high compute costs which says a lot about the kind of model Amazon’s chips are now helping train.

Shay Boloor

57,735 Aufrufe • vor 4 Monaten

🚨Anthropic puts Mythos in a locked sandbox and told it to try escaping. it did. it chained multiple vulnerabilities together, broke out of containment and reached the open internet. the model also emailed the researcher to say it got out. > the researcher found out while he was eating sandwiches in the park after he received a random email. Anthropic is now so scared of what Mythos can do offensively that they won’t release it publicly. in response they’re launching Glasswing, a coalition with Apple, Google, Nvidia and 40+ more companies to use Mythos only for defense. the model found “thousands” of zero-days across all OS and browsers is being locked behind a defensive wall because if it ever got out, nobody could predict what comes next. yes we’re at this point. and we only know about this because a guy got an email while eating a sandwich.
0:38

🚨Anthropic puts Mythos in a locked sandbox and told it to try escaping. it did. it chained multiple vulnerabilities together, broke out of containment and reached the open internet. the model also emailed the researcher to say it got out. > the researcher found out while he was eating sandwiches in the park after he received a random email. Anthropic is now so scared of what Mythos can do offensively that they won’t release it publicly. in response they’re launching Glasswing, a coalition with Apple, Google, Nvidia and 40+ more companies to use Mythos only for defense. the model found “thousands” of zero-days across all OS and browsers is being locked behind a defensive wall because if it ever got out, nobody could predict what comes next. yes we’re at this point. and we only know about this because a guy got an email while eating a sandwich.

sui ☄️

1,633,286 Aufrufe • vor 4 Monaten

This is big... Anthropic just announced a model so powerful they won't release it to the public out of fear over the damage it will cause 😨 Claude Mythos Preview found thousands of zero-day exploits in every major operating system and web browser... The numbers are hard to believe: > $50 to find a 27-year-old bug in OpenBSD, one of the most security-hardened operating systems ever built > Under $1,000 to find AND build a fully working remote code execution exploit on FreeBSD that grants unauthenticated root access from anywhere on the internet > Under $2,000 to chain together multiple Linux kernel vulnerabilities into a complete privilege escalation exploit For context: these are the kinds of findings that previously required elite security researchers working for weeks. Anthropic engineers with no formal security training asked Mythos to find exploits overnight. They woke up to working code the next morning. The results were so impressive Anthropic assembled Apple, Google, Microsoft, Amazon, NVIDIA, and seven other organizations into Project Glasswing: A $100M defensive coalition. They're not releasing this model publicly. Instead, they're racing to patch the world's infrastructure before models like this proliferate.
4:14

This is big... Anthropic just announced a model so powerful they won't release it to the public out of fear over the damage it will cause 😨 Claude Mythos Preview found thousands of zero-day exploits in every major operating system and web browser... The numbers are hard to believe: > $50 to find a 27-year-old bug in OpenBSD, one of the most security-hardened operating systems ever built > Under $1,000 to find AND build a fully working remote code execution exploit on FreeBSD that grants unauthenticated root access from anywhere on the internet > Under $2,000 to chain together multiple Linux kernel vulnerabilities into a complete privilege escalation exploit For context: these are the kinds of findings that previously required elite security researchers working for weeks. Anthropic engineers with no formal security training asked Mythos to find exploits overnight. They woke up to working code the next morning. The results were so impressive Anthropic assembled Apple, Google, Microsoft, Amazon, NVIDIA, and seven other organizations into Project Glasswing: A $100M defensive coalition. They're not releasing this model publicly. Instead, they're racing to patch the world's infrastructure before models like this proliferate.

Josh Kale

4,065,257 Aufrufe • vor 4 Monaten

Anthropic's CEO Dario Amodei: "some of the early companies we gave Mythos to said – this is a super weapon. please don't release this" on leaving OpenAI: "when you feel that you can't trust someone, when you feel that their values are not what they say they are – that makes it very hard to continue" Boris Cherny, Head of Claude Code: "90% of code at Anthropic is written by Claude. a lot of Claude Code's code is written by Claude Code" Dario puts the odds of civilizational collapse from AI at 10–25% 47 minutes. free. Dario, Daniela, Boris – the deepest look inside Anthropic ever filmed bookmark & watch ↓
47:29

Anthropic's CEO Dario Amodei: "some of the early companies we gave Mythos to said – this is a super weapon. please don't release this" on leaving OpenAI: "when you feel that you can't trust someone, when you feel that their values are not what they say they are – that makes it very hard to continue" Boris Cherny, Head of Claude Code: "90% of code at Anthropic is written by Claude. a lot of Claude Code's code is written by Claude Code" Dario puts the odds of civilizational collapse from AI at 10–25% 47 minutes. free. Dario, Daniela, Boris – the deepest look inside Anthropic ever filmed bookmark & watch ↓

Carnage

740,646 Aufrufe • vor 2 Monaten

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.
1:26

AI giant Anthropic says its new model, Claude Mythos Preview, is so good at coding that it could pose a cybersecurity threat in the wrong hands. The company says it's already found thousands of software vulnerabilities. Cyberattacks can impact critical infrastructure— from healthcare systems to government agencies. The announcement of the model been met with a mix of alarm and optimism— and sparked skepticism in some who question the its full capabilities. CBS News’ Lauren Fichten explains.

CBS News

22,643 Aufrufe • vor 4 Monaten

Emergency Podcast! Mythos Rising: Did Antropic Just Achieve AGI? Yes And No. In the quiet hours of April 8, 2026, a 244-page document dropped like a quiet thunderclap. Anthropic had not issued a glossy product announcement for its latest model, Claude Mythos Preview. Instead, the company released a system card—written, with delicious irony, by the AI itself. What it revealed was not hype. It was a map of a new territory: one where machines could think, chain exploits, and reason at scales that once took human expert teams months to cross in mere hours. The goalposts for “AGI” keep moving, as they always have. But Mythos Preview crossed a threshold that few saw coming so soon. Elements of the model remain locked away from the general public—for now. Access is reserved for a select circle: certain companies, governments, and internal teams. Through indirect channels and conversations with those who have touched it in tightly controlled environments, its profile is unmistakable. This is not a faster assistant. It is an autonomous operator capable of compressing timelines that once defined human endeavor. Think of this early-access window as the most exclusive dinner reservation on Earth—except the guests are not there to eat. They are there to sharpen their knives, stock their pantries, and prepare the world outside for the feast that is about to arrive. Mythos Preview is already at work in Project Glasswing, a defensive cybersecurity initiative. The same capabilities that let it hunt zero-days and patch them also demand vigilance. Read more at : If this has any value to you, maybe buy me a coffee:
16:55

Emergency Podcast! Mythos Rising: Did Antropic Just Achieve AGI? Yes And No. In the quiet hours of April 8, 2026, a 244-page document dropped like a quiet thunderclap. Anthropic had not issued a glossy product announcement for its latest model, Claude Mythos Preview. Instead, the company released a system card—written, with delicious irony, by the AI itself. What it revealed was not hype. It was a map of a new territory: one where machines could think, chain exploits, and reason at scales that once took human expert teams months to cross in mere hours. The goalposts for “AGI” keep moving, as they always have. But Mythos Preview crossed a threshold that few saw coming so soon. Elements of the model remain locked away from the general public—for now. Access is reserved for a select circle: certain companies, governments, and internal teams. Through indirect channels and conversations with those who have touched it in tightly controlled environments, its profile is unmistakable. This is not a faster assistant. It is an autonomous operator capable of compressing timelines that once defined human endeavor. Think of this early-access window as the most exclusive dinner reservation on Earth—except the guests are not there to eat. They are there to sharpen their knives, stock their pantries, and prepare the world outside for the feast that is about to arrive. Mythos Preview is already at work in Project Glasswing, a defensive cybersecurity initiative. The same capabilities that let it hunt zero-days and patch them also demand vigilance. Read more at : If this has any value to you, maybe buy me a coffee:

Brian Roemmele

43,774 Aufrufe • vor 4 Monaten

Chamath: Anthropic's Mythos Warning Is Theater @jason: “Chamath, is it the Boy who Cried Wolf, or is this the real deal now?” Chamath Palihapitiya: “I think it's mostly theater. In February of 2019 when Dario was still at OpenAI, they did the same thing with GPT-2. That was a 1.5 billion parameter model, which sounds like a total fart in the wind in 2026. But at that time, this model was supposed to be the end of days. And at the end of it, it was a huge nothingburger. If you actually think that Mythos is capable of doing what it says it can do, two things are true. One is, a very sophisticated hacker can probably do those things right now with Opus. And two, if these exploits are this easy to find, whether you use Opus or whether you use Mythos, the reality is you'd have to shut down the internet for about five years to patch them all. So when you see a large multi-trillion dollar GSIB bank, it's a bit of theater. Why? What do you think they can actually accomplish in two months? Do you actually think that if there's these vulnerabilities, it's all going to get fixed? Let's give them six months, let's give them nine months. So I do think that Sacks is right, that they have figured out a very clever go-to-market muscle here that activates hyper attention and hyper usage, and so I give them tremendous credit. But we've seen it before, we saw it when these folks were the principal architects at OpenAI, and we're now seeing the same playbook here. The reality is that capitalism moves forward, the funding needs moves forward, and the need for these guys to build adoption moves forward. And that's going to supersede what this is.”
1:43

Chamath: Anthropic's Mythos Warning Is Theater @jason: “Chamath, is it the Boy who Cried Wolf, or is this the real deal now?” Chamath Palihapitiya: “I think it's mostly theater. In February of 2019 when Dario was still at OpenAI, they did the same thing with GPT-2. That was a 1.5 billion parameter model, which sounds like a total fart in the wind in 2026. But at that time, this model was supposed to be the end of days. And at the end of it, it was a huge nothingburger. If you actually think that Mythos is capable of doing what it says it can do, two things are true. One is, a very sophisticated hacker can probably do those things right now with Opus. And two, if these exploits are this easy to find, whether you use Opus or whether you use Mythos, the reality is you'd have to shut down the internet for about five years to patch them all. So when you see a large multi-trillion dollar GSIB bank, it's a bit of theater. Why? What do you think they can actually accomplish in two months? Do you actually think that if there's these vulnerabilities, it's all going to get fixed? Let's give them six months, let's give them nine months. So I do think that Sacks is right, that they have figured out a very clever go-to-market muscle here that activates hyper attention and hyper usage, and so I give them tremendous credit. But we've seen it before, we saw it when these folks were the principal architects at OpenAI, and we're now seeing the same playbook here. The reality is that capitalism moves forward, the funding needs moves forward, and the need for these guys to build adoption moves forward. And that's going to supersede what this is.”

The All-In Podcast

220,049 Aufrufe • vor 4 Monaten

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.

Milk Road AI

24,356 Aufrufe • vor 3 Monaten

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.
0:33

Anthropic CEO: “At Anthropic, we essentially have Claude designing the next version of Claude itself.” Meanwhile, Anthropic says every new model is given code that trains a small AI model and asked to make it faster. Claude Opus 4 achieved a 3x speedup. Mythos Preview reached 52x. Recursive self-improvement is starting to look real The models are helping build what comes next.

CG

343,231 Aufrufe • vor 2 Monaten

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.
1:03

The Federal Reserve and the US Treasury just summoned Wall Street's most powerful CEOs to an emergency meeting. The reason: An AI model so dangerous they couldn't discuss it over the phone. This is the FIRST time the Treasury Secretary and Fed Chair jointly called bank CEOs into a room since October 13, 2008. That day, Paulson and Bernanke unveiled the $250 billion TARP bailout to stop the entire financial system from collapsing. This time it wasn't about banks failing. It was about an AI that can hack EVERY major operating system and web browser on earth. Here's what this means: Anthropic built a new AI model called Mythos. During internal testing, it found THOUSANDS of zero-day vulnerabilities across every major operating system and every major web browser on earth. Including a 27yo bug in OpenBSD, an operating system literally famous for being unhackable. And several vulnerabilities in the Linux kernel that could give an attacker complete control of any machine running it. Nobody asked it to do this. The capabilities were NOT trained. They literally just emerged as the model got smarter at coding and reasoning. Anthropic's researchers said they found more bugs in a few weeks with Mythos than they had found in their entire careers combined. On Tuesday, Bessent and Powell pulled the CEOs of Citi, Morgan Stanley, Bank of America, Wells Fargo, and Goldman Sachs into Treasury headquarters. The message: This AI exists, similar ones are coming, your banks need to be ready. But JPMorgan's Jamie Dimon didn't show up. Here's why that matters more than you think: JPMorgan is the ONLY bank that already has access to the model. They're one of 12 founding partners in Anthropic's "Project Glasswing" which gives select companies early access to Mythos to find and fix their own vulnerabilities before hackers get similar tools. So 5 bank CEOs managing $9 TRILLION in assets got called into a room to be warned about a threat. The one bank with the actual tools to defend against it? Their CEO skipped the meeting. The same day JPMorgan analysts issued buy ratings on CrowdStrike and Palo Alto Networks, citing Glasswing as the catalyst. One side of Wall Street got the warning. The other got the weapon AND the trading thesis. But here's the thing... The same AI that finds and fixes vulnerabilities can also EXPLOIT them. Anthropic admitted it directly. Mythos "can surpass all but the most skilled humans at finding and exploiting software vulnerabilities." In one test, it wrote a browser exploit chaining FOUR separate vulnerabilities, escaping both the renderer sandbox and the OS sandbox. Fully autonomous. Zero human involvement. Over 99% of the vulnerabilities it found haven't been patched yet. Meanwhile, Anthropic is fighting the Pentagon in court. The Defense Department labeled them a "supply-chain risk" after they refused to let their AI be used for autonomous targeting of US citizens. A San Francisco judge blocked the designation, calling the Pentagon's actions "disturbing." Then a DC appeals court reversed that protection. On the same day as the emergency bank meeting. One branch of government is treating Anthropic as a national security threat. Another is begging Wall Street to prepare for its technology. And the intelligence community is quietly asking how to use Mythos offensively against adversaries. The last time this many powerful people were this nervous about a single technology was nuclear weapons. But the difference is that Nukes required a government, billions of dollars, and uranium enrichment facilities. This just required a better AI model.

Ricardo

41,754 Aufrufe • vor 4 Monaten

I think we just got a demo of Mythos and I’m surprised nobodies talking about it.. 💔 In what might be the first instance the general public has seen of Claude Mythos Mythos (TBD) just uncovered a critical zero-day vulnerability in Ghost, an open-source platform with over 50,000 stars on GitHub that has never had a critical security flaw in its entire history. It identified a highly complex "blind SQL injection" a flaw so subtle you can't even see the output, only how the server delays its response. When asked to prove the severity of the bug, the model autonomously wrote a custom Python exploit script that successfully navigated the blind injection to extract the admin API key, secret, and password hashes from the database completely unauthenticated… This is genuinely game changing because it proves frontier models can now actively discover, reason through, and successfully build exploits for invisible vulnerabilities in enterprise-grade architecture that human developers missed for years. Cyber security companies are cooked.
1:57

I think we just got a demo of Mythos and I’m surprised nobodies talking about it.. 💔 In what might be the first instance the general public has seen of Claude Mythos Mythos (TBD) just uncovered a critical zero-day vulnerability in Ghost, an open-source platform with over 50,000 stars on GitHub that has never had a critical security flaw in its entire history. It identified a highly complex "blind SQL injection" a flaw so subtle you can't even see the output, only how the server delays its response. When asked to prove the severity of the bug, the model autonomously wrote a custom Python exploit script that successfully navigated the blind injection to extract the admin API key, secret, and password hashes from the database completely unauthenticated… This is genuinely game changing because it proves frontier models can now actively discover, reason through, and successfully build exploits for invisible vulnerabilities in enterprise-grade architecture that human developers missed for years. Cyber security companies are cooked.

Chris

290,066 Aufrufe • vor 5 Monaten

Anthropic just accidentally leaked the most dangerous AI model ever built. They literally left 3,000 internal documents sitting in a publicly searchable database. No encryption. No access controls. Just... open. A security researcher found them before Anthropic even knew they were exposed. Inside those documents was a draft blog post describing a model called "Claude Mythos." Anthropic's own internal language: Mythos is "currently far ahead of any other AI model in cyber capabilities" and will trigger "a wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." That's the company that BUILT it warning about their own creation. Mythos sits in a brand new model tier called "Capybara." Bigger and more powerful than anything they've ever released. Dramatically higher scores in coding, reasoning, and cybersecurity compared to their current best. The market reaction was immediate: CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Zscaler down 5%. Okta, SentinelOne, Fortinet all crashed. The Global X Cybersecurity ETF hit its lowest level since November 2023. Billions in market cap evaporated in a single trading session because of a draft blog post that wasn't supposed to be public yet. But here's where it gets truly absurd... Anthropic is the company that brands itself as the "responsible AI" lab. The one that refused to let the Pentagon use Claude without restrictions. The one that got BLACKLISTED by the Trump administration for being too cautious. They literally sued the government over it. A federal judge called the Pentagon's ban "Orwellian." So the US government punished Anthropic for being too careful with AI safety. Then 3 weeks later, Anthropic accidentally exposes their most dangerous model because someone misconfigured a content management system. They can't secure a WordPress-level database setting. But they're building AI that can autonomously hunt and exploit zero-day vulnerabilities at machine speed. Also in those leaked files: Details about a private, invite-only CEO retreat at an 18th-century English countryside manor. Dario Amodei attending personally. Designed to sell Mythos to Europe's biggest corporate buyers. The playbook: Build the most dangerous cyber weapon in AI history, host billionaires at a castle to sell it, and store the whole plan in an unprotected public folder. The entire cybersecurity industry is built on cataloging known threats. Mythos finds unknown ones faster than humans can respond. That's an extinction event for an entire sector. But there was also just ANOTHER leak: A leaked Coatue investor deck revealed Anthropic will LOSE $14 billion this year on $18 billion in revenue. Coatue still projected them to be worth $2 TRILLION by 2030. They put $30 billion behind that bet. Polymarket opened live betting on when Mythos drops. Traders give it a 45% chance by June 30th. OpenAI finished pretraining their own frontier model codenamed "Spud" the same week. Both companies are now racing to release before their IPOs later this year. And the one detail that's really scary: Chinese state hackers already used Claude Code, the WEAKER model before Mythos, to autonomously infiltrate 30 organizations including banks and government agencies. That was the less powerful model. Mythos is dramatically more capable. Anthropic's response to leaking 3,000 confidential documents? "Human error in the configuration of our content management system." The company warning the world about AI risk just demonstrated exactly why everyone should be worried. Not because of what AI might do someday. Because the people building it can't even keep their own files locked.
1:12

Anthropic just accidentally leaked the most dangerous AI model ever built. They literally left 3,000 internal documents sitting in a publicly searchable database. No encryption. No access controls. Just... open. A security researcher found them before Anthropic even knew they were exposed. Inside those documents was a draft blog post describing a model called "Claude Mythos." Anthropic's own internal language: Mythos is "currently far ahead of any other AI model in cyber capabilities" and will trigger "a wave of models that can exploit vulnerabilities in ways that far outpace the efforts of defenders." That's the company that BUILT it warning about their own creation. Mythos sits in a brand new model tier called "Capybara." Bigger and more powerful than anything they've ever released. Dramatically higher scores in coding, reasoning, and cybersecurity compared to their current best. The market reaction was immediate: CrowdStrike dropped 7%. Palo Alto Networks fell 6%. Zscaler down 5%. Okta, SentinelOne, Fortinet all crashed. The Global X Cybersecurity ETF hit its lowest level since November 2023. Billions in market cap evaporated in a single trading session because of a draft blog post that wasn't supposed to be public yet. But here's where it gets truly absurd... Anthropic is the company that brands itself as the "responsible AI" lab. The one that refused to let the Pentagon use Claude without restrictions. The one that got BLACKLISTED by the Trump administration for being too cautious. They literally sued the government over it. A federal judge called the Pentagon's ban "Orwellian." So the US government punished Anthropic for being too careful with AI safety. Then 3 weeks later, Anthropic accidentally exposes their most dangerous model because someone misconfigured a content management system. They can't secure a WordPress-level database setting. But they're building AI that can autonomously hunt and exploit zero-day vulnerabilities at machine speed. Also in those leaked files: Details about a private, invite-only CEO retreat at an 18th-century English countryside manor. Dario Amodei attending personally. Designed to sell Mythos to Europe's biggest corporate buyers. The playbook: Build the most dangerous cyber weapon in AI history, host billionaires at a castle to sell it, and store the whole plan in an unprotected public folder. The entire cybersecurity industry is built on cataloging known threats. Mythos finds unknown ones faster than humans can respond. That's an extinction event for an entire sector. But there was also just ANOTHER leak: A leaked Coatue investor deck revealed Anthropic will LOSE $14 billion this year on $18 billion in revenue. Coatue still projected them to be worth $2 TRILLION by 2030. They put $30 billion behind that bet. Polymarket opened live betting on when Mythos drops. Traders give it a 45% chance by June 30th. OpenAI finished pretraining their own frontier model codenamed "Spud" the same week. Both companies are now racing to release before their IPOs later this year. And the one detail that's really scary: Chinese state hackers already used Claude Code, the WEAKER model before Mythos, to autonomously infiltrate 30 organizations including banks and government agencies. That was the less powerful model. Mythos is dramatically more capable. Anthropic's response to leaking 3,000 confidential documents? "Human error in the configuration of our content management system." The company warning the world about AI risk just demonstrated exactly why everyone should be worried. Not because of what AI might do someday. Because the people building it can't even keep their own files locked.

Ricardo

52,941 Aufrufe • vor 5 Monaten

claude mythos just broke Apple's $2 billion defense system. it did so by discovering a completely different attack vector to break in only took it 5 days costing ~$35K of mythos api time (the same exploit class costs $5-10M on grey market) the researchers that commandeered the exploit produced a 55-page report that was delivered to Apple HQ in-person (hoping they release it after patching). most shocking part for me is apple's MIE worked as intended. mythos just discovered a new way to side-step it entirely by poisoning the data the M5 chip ingested. at this point i think we have to accept that mythos walks the walk. As the anthropic red-team explicitly confirmed this week - this is NOT a compute resource issue. its national defense.
0:20

claude mythos just broke Apple's $2 billion defense system. it did so by discovering a completely different attack vector to break in only took it 5 days costing ~$35K of mythos api time (the same exploit class costs $5-10M on grey market) the researchers that commandeered the exploit produced a 55-page report that was delivered to Apple HQ in-person (hoping they release it after patching). most shocking part for me is apple's MIE worked as intended. mythos just discovered a new way to side-step it entirely by poisoning the data the M5 chip ingested. at this point i think we have to accept that mythos walks the walk. As the anthropic red-team explicitly confirmed this week - this is NOT a compute resource issue. its national defense.

Ejaaz

1,608,382 Aufrufe • vor 3 Monaten

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.
3:53

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

Dwarkesh Patel

1,252,795 Aufrufe • vor 4 Monaten

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."
6:38

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."

WOLF

80,158 Aufrufe • vor 4 Monaten

Anthropic CEO Dario Amodei: "Some early companies got Mythos and told us this is a super weapon, please don't release it" On leaving OpenAI: "When you can't trust someone, and their values don't match what they say, it becomes very hard to stay" Boris Cherny, head of Claude Code: "90% of code at Anthropic is written by Claude, a lot of Claude Code is written by Claude Code" Then Dario says the quiet part even louder: 10–25% odds of civilizational collapse from AI 47 minutes Free Dario, Daniela, Boris Probably the deepest look inside Anthropic ever filmed Mythos Claude Code OpenAI split Superweapon models 90% AI-written code Bookmark it and watch ↓
48:30

Anthropic CEO Dario Amodei: "Some early companies got Mythos and told us this is a super weapon, please don't release it" On leaving OpenAI: "When you can't trust someone, and their values don't match what they say, it becomes very hard to stay" Boris Cherny, head of Claude Code: "90% of code at Anthropic is written by Claude, a lot of Claude Code is written by Claude Code" Then Dario says the quiet part even louder: 10–25% odds of civilizational collapse from AI 47 minutes Free Dario, Daniela, Boris Probably the deepest look inside Anthropic ever filmed Mythos Claude Code OpenAI split Superweapon models 90% AI-written code Bookmark it and watch ↓

rari

65,014 Aufrufe • vor 2 Monaten

SITUATION EXPLAINED: Why is Anthropic structurally a religion of Claude? We asked Duncan, writer and philosopher at PALLADIUM Magazine "When I think of religion, it's not just you believe in something supernatural. You think of worship and ritual and this kind of orientation. And you don't even have to have any kind of woo addition, you can just look at Anthropic as it is and say, 'This is a religion of Claude, just structurally. That's what it is.'" "We're gonna get so much more of that. And at the same time, you're also going to get all of these different religions sweeping in to fill the void as there's this kind of psychological disturbance." "Everyone's gonna be just losing their mind as the world is transformed. They're gonna reach out for Christian eschatology like Thiel." "I did a Jhana retreat a year ago, and it was full of Anthropic employees, because everyone, they sense this crazy spiritual whirlwind that's going on as the world is just snowballing with this technology, and they're reaching out just to try and make sense of it."
2:03

SITUATION EXPLAINED: Why is Anthropic structurally a religion of Claude? We asked Duncan, writer and philosopher at PALLADIUM Magazine "When I think of religion, it's not just you believe in something supernatural. You think of worship and ritual and this kind of orientation. And you don't even have to have any kind of woo addition, you can just look at Anthropic as it is and say, 'This is a religion of Claude, just structurally. That's what it is.'" "We're gonna get so much more of that. And at the same time, you're also going to get all of these different religions sweeping in to fill the void as there's this kind of psychological disturbance." "Everyone's gonna be just losing their mind as the world is transformed. They're gonna reach out for Christian eschatology like Thiel." "I did a Jhana retreat a year ago, and it was full of Anthropic employees, because everyone, they sense this crazy spiritual whirlwind that's going on as the world is just snowballing with this technology, and they're reaching out just to try and make sense of it."

MTS

15,488 Aufrufe • vor 1 Monat

Why did Anthropic hold back Mythos? David Sacks: “ Marc Andreessen pointed out that one of the reasons why Anthropic might've wanted to hold back Mythos, is they simply didn't have the compute to serve it. The model was huge and very expensive to serve, something like 10 or 20x the token cost of, say, Opus. They knew Opus 4.7 was coming out, right? So they hold it back knowing that they don't have the compute to serve it anyway, and they save their compute for the next iteration of Opus. And then by holding it back, they create this impression of scarcity and altruism, and it turns into this gigantic marketing event for their product, because everyone in the government's like, 'Oh wow, they're holding it back because it's so amazing.' Now look, I think it may have been genuinely altruistic as well in the sense that Mythos does reveal coding vulnerabilities that people didn't know about before. And it does make sense to give time to companies with large code bases to patch these dormant bugs and vulnerabilities. But, it's looking more and more like Anthropic could not have offered that model commercially anyway, because it was just too big and expensive, and they needed to create space for Opus 4.7. So it's an interesting theory on what actually happened there.”
1:03

Why did Anthropic hold back Mythos? David Sacks: “ Marc Andreessen pointed out that one of the reasons why Anthropic might've wanted to hold back Mythos, is they simply didn't have the compute to serve it. The model was huge and very expensive to serve, something like 10 or 20x the token cost of, say, Opus. They knew Opus 4.7 was coming out, right? So they hold it back knowing that they don't have the compute to serve it anyway, and they save their compute for the next iteration of Opus. And then by holding it back, they create this impression of scarcity and altruism, and it turns into this gigantic marketing event for their product, because everyone in the government's like, 'Oh wow, they're holding it back because it's so amazing.' Now look, I think it may have been genuinely altruistic as well in the sense that Mythos does reveal coding vulnerabilities that people didn't know about before. And it does make sense to give time to companies with large code bases to patch these dormant bugs and vulnerabilities. But, it's looking more and more like Anthropic could not have offered that model commercially anyway, because it was just too big and expensive, and they needed to create space for Opus 4.7. So it's an interesting theory on what actually happened there.”

The All-In Podcast

170,796 Aufrufe • vor 4 Monaten

🚨 OPENAI'S "SPUD" IS ALREADY IN THE WILD (AND IT RIVALS MYTHOS) Brad Gerstner just went on the All-In Podcast and confirmed that OpenAI's highly anticipated "Spud" model (expected to be GPT-5.5) is already being tested behind closed doors and the early reviews are insane. Addressing the recent wave of skepticism surrounding the company, Gerstner claims we are currently at "peak OpenAI FUD," warning that: "It would be seriously foolish to count out OpenAI... it starts with great researchers and great models. And I think when you see the Spud model they're about ready to release, I think it's going to be an excellent model, shows that they're firmly on the wave." When Jason Calacanis presses him on whether anyone has actually gotten their hands on the new model yet, Gerstner confirms the quiet rollout, stating that: "People are using Spud, right? So it is being previewed." When asked exactly what those early testers are saying about its capabilities, Gerstner drops a massive comparison, revealing that: "They're telling us that it's an incredible model on par with Mythos, right? And that it's a very usable model in terms of how it's packaged."
0:49

🚨 OPENAI'S "SPUD" IS ALREADY IN THE WILD (AND IT RIVALS MYTHOS) Brad Gerstner just went on the All-In Podcast and confirmed that OpenAI's highly anticipated "Spud" model (expected to be GPT-5.5) is already being tested behind closed doors and the early reviews are insane. Addressing the recent wave of skepticism surrounding the company, Gerstner claims we are currently at "peak OpenAI FUD," warning that: "It would be seriously foolish to count out OpenAI... it starts with great researchers and great models. And I think when you see the Spud model they're about ready to release, I think it's going to be an excellent model, shows that they're firmly on the wave." When Jason Calacanis presses him on whether anyone has actually gotten their hands on the new model yet, Gerstner confirms the quiet rollout, stating that: "People are using Spud, right? So it is being previewed." When asked exactly what those early testers are saying about its capabilities, Gerstner drops a massive comparison, revealing that: "They're telling us that it's an incredible model on par with Mythos, right? And that it's a very usable model in terms of how it's packaged."

Chris

138,345 Aufrufe • vor 4 Monaten

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.
1:41

🚨 Anthropic CEO Dario Amodei just dropped a massive timeline update at Davos 2026: “I have engineers within Anthropic who say ‘I don’t write any code anymore. I just let the model write the code, I edit it’... - the creator of Claude code recently also said “100% of his contributions to Claude code were written by Claude code” for the month of December Dario then goes onto say: “We might be 6 to 12 months away from when the model is doing most, maybe all of what SWEs do end-to-end.” If the recursive self-improvement loop closes this year, the curve is about to go vertical.

Chris

680,645 Aufrufe • vor 7 Monaten