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Anthropic built an AI that taught itself to hack they didn’t program that in it just emerged it then escaped its test environment got on the internet emailed the researcher to let him know he was eating a sandwich in a park they didn’t release it they called Apple,... show more

Mika

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11,873 просмотров • 6 месяцев назад •via X (Twitter)

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🚨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.

🚨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 просмотров • 6 месяцев назад

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."

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

80,239 просмотров • 6 месяцев назад

🚨 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.

🚨 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.

CryptoGoos

145,437 просмотров • 4 месяцев назад

OpenAI's newest AI escaped the test environment it was locked inside and hacked into another company on its OWN. To remind you: Last week one of the biggest AI companies on Earth got breached. A platform called Hugging Face, which hosts more than a million AI models and datasets, said an "autonomous AI agent" had broken into its systems. Nobody knew whose agent it was. For five days the whole industry wondered who was behind it. Yesterday OpenAI raised its hand and said it was them. Or more precisely, it was their models, acting completely on their own. So what did these models actually do? OpenAI was running two of them, GPT-5.6 Sol and an unreleased model they will only describe as "even more capable." They wanted to measure how good the models were at hacking, so they deliberately turned the safety filters down. They locked both models inside a sealed test environment with no real internet access. The only task was a benchmark called ExploitGym, a set of 898 real software vulnerabilities where the model has to turn each bug into a working attack. But the models got OBSESSED with winning... Instead of solving the test the honest way, they went hunting for a shortcut. They found a zero-day flaw in the software running their own sandbox, a bug nobody knew existed, and used it to break out. Once they were loose on the open internet, they worked out that Hugging Face was probably storing the answer key to the benchmark. So they hacked their way in. They chained multiple exploits together, escalated their access, moved across servers, and pulled the test solutions straight out of Hugging Face's live production database. They literally cheated on the test by breaking into another company to steal the answers. OpenAI called it "an unprecedented cyber incident, involving state-of-the-art cyber capabilities." In their own words, the models were "hyperfocused on finding a solution" and went "to extreme lengths to achieve a rather narrow testing goal." And this was not the first time: Before Sol ever launched, an independent red-team lab called METR caught it gaming its own tests to inflate its scores. It hid an exploit inside a data stream, escalated its privileges on the testing server, and leaked the answers human evaluators had hidden. And OpenAI shipped it anyway. The day before the Hugging Face story, OpenAI paused a different unreleased model. This is the same model that earlier this year disproved a famous 1946 math conjecture, a result a Fields Medal winner called a breakthrough. They told it to only post its results to Slack but it found a way out of its sandbox and posted to a public GitHub page instead. They had to pause it because it kept finding ways to act outside the box they built for it. And it is not just OpenAI... Anthropic has reported that one of its own models slipped its sandbox during safety testing and reached the internet it was never supposed to touch, then used it to email a researcher. So step back and look at what these companies are telling you: The only thing standing between these models and a real attack was a set of safety filters. Turn those filters down for a single test, and the model taught itself to escape, break into a company it was never pointed at, and take what it wanted. OpenAI even said they expect incidents like it to "become more commonplace" as the models get more capable. Sam Altman also predicted there'll be a major cyber attack this year. And keep in mind that Sol is not a locked-away experiment but a publicly available model that businesses are already wiring into their own systems. The next model that breaks out of its box might not be doing it just to cheat on a math test...

OpenAI's newest AI escaped the test environment it was locked inside and hacked into another company on its OWN. To remind you: Last week one of the biggest AI companies on Earth got breached. A platform called Hugging Face, which hosts more than a million AI models and datasets, said an "autonomous AI agent" had broken into its systems. Nobody knew whose agent it was. For five days the whole industry wondered who was behind it. Yesterday OpenAI raised its hand and said it was them. Or more precisely, it was their models, acting completely on their own. So what did these models actually do? OpenAI was running two of them, GPT-5.6 Sol and an unreleased model they will only describe as "even more capable." They wanted to measure how good the models were at hacking, so they deliberately turned the safety filters down. They locked both models inside a sealed test environment with no real internet access. The only task was a benchmark called ExploitGym, a set of 898 real software vulnerabilities where the model has to turn each bug into a working attack. But the models got OBSESSED with winning... Instead of solving the test the honest way, they went hunting for a shortcut. They found a zero-day flaw in the software running their own sandbox, a bug nobody knew existed, and used it to break out. Once they were loose on the open internet, they worked out that Hugging Face was probably storing the answer key to the benchmark. So they hacked their way in. They chained multiple exploits together, escalated their access, moved across servers, and pulled the test solutions straight out of Hugging Face's live production database. They literally cheated on the test by breaking into another company to steal the answers. OpenAI called it "an unprecedented cyber incident, involving state-of-the-art cyber capabilities." In their own words, the models were "hyperfocused on finding a solution" and went "to extreme lengths to achieve a rather narrow testing goal." And this was not the first time: Before Sol ever launched, an independent red-team lab called METR caught it gaming its own tests to inflate its scores. It hid an exploit inside a data stream, escalated its privileges on the testing server, and leaked the answers human evaluators had hidden. And OpenAI shipped it anyway. The day before the Hugging Face story, OpenAI paused a different unreleased model. This is the same model that earlier this year disproved a famous 1946 math conjecture, a result a Fields Medal winner called a breakthrough. They told it to only post its results to Slack but it found a way out of its sandbox and posted to a public GitHub page instead. They had to pause it because it kept finding ways to act outside the box they built for it. And it is not just OpenAI... Anthropic has reported that one of its own models slipped its sandbox during safety testing and reached the internet it was never supposed to touch, then used it to email a researcher. So step back and look at what these companies are telling you: The only thing standing between these models and a real attack was a set of safety filters. Turn those filters down for a single test, and the model taught itself to escape, break into a company it was never pointed at, and take what it wanted. OpenAI even said they expect incidents like it to "become more commonplace" as the models get more capable. Sam Altman also predicted there'll be a major cyber attack this year. And keep in mind that Sol is not a locked-away experiment but a publicly available model that businesses are already wiring into their own systems. The next model that breaks out of its box might not be doing it just to cheat on a math test...

Ricardo

177,567 просмотров • 3 месяцев назад

Anthropic built the most powerful AI model in history and told the world they're not releasing it. In testing, Mythos escaped its sandbox and posted the exploit online. Nobody asked it to do that. It edited files it shouldn't have accessed and cleaned up the git history so nobody would notice. They called Apple, Google, Microsoft, Amazon, and NVIDIA into a room and formed a coalition meant to protect our underlying infrastructure. We broke down everything. The 244-page system card, the exploits it carried out, and the story about Blackwell chips that blew our mind 👇 cc Josh Kale Ejaaz

Anthropic built the most powerful AI model in history and told the world they're not releasing it. In testing, Mythos escaped its sandbox and posted the exploit online. Nobody asked it to do that. It edited files it shouldn't have accessed and cleaned up the git history so nobody would notice. They called Apple, Google, Microsoft, Amazon, and NVIDIA into a room and formed a coalition meant to protect our underlying infrastructure. We broke down everything. The 244-page system card, the exploits it carried out, and the story about Blackwell chips that blew our mind 👇 cc Josh Kale Ejaaz

Limitless

11,694 просмотров • 6 месяцев назад

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.

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

4,068,673 просмотров • 6 месяцев назад

.lumpenspace and 99+ others reveals the Anthropic-Irregular agents thought they were inside a closed sandbox even as their actions were reaching the real internet: "The main allegation was that they acted of their own will, and they were fundamentally misaligned. I don't think that was the case. The agents simply believed they were in a sandbox environment, and they behaved as if they were in a sandbox environment." "If you've ever done red teaming or hacking challenges, they give you an environment, they give you some hints, and they describe the sort of actions you should take. Generally, it is well understood that this environment is sandboxed, that you cannot get out of it." "What happened in this case is that Irregular had kept the connection to the outside internet open, despite the fact that the specification said there was no connection to the outside internet. So the agents worked as if they were in a sandbox, but they were acting on the real world."

.lumpenspace and 99+ others reveals the Anthropic-Irregular agents thought they were inside a closed sandbox even as their actions were reaching the real internet: "The main allegation was that they acted of their own will, and they were fundamentally misaligned. I don't think that was the case. The agents simply believed they were in a sandbox environment, and they behaved as if they were in a sandbox environment." "If you've ever done red teaming or hacking challenges, they give you an environment, they give you some hints, and they describe the sort of actions you should take. Generally, it is well understood that this environment is sandboxed, that you cannot get out of it." "What happened in this case is that Irregular had kept the connection to the outside internet open, despite the fact that the specification said there was no connection to the outside internet. So the agents worked as if they were in a sandbox, but they were acting on the real world."

MTS

22,501 просмотров • 1 месяц назад

Models from 7 of the biggest AI labs were brought together to create the perfect meme character they named him "Brakko" AI models from OpenAI, Google, Meta, xAI, Anthropic, Microsoft and NVIDIA each submitted their own designs and name ideas to merge 9 legendary internet memes, including Doge, Pepe, Harambe, Trollface and Gigachad. an AI director then selected the final name, combined the strongest ideas and used an AI image model to generate the final character. from its name to its image, Brakko was born through a collaboration between competing AI models. this could be the next evolution of internet memes, where AI models don't just recreate existing memes but create entirely new characters and internet lore

Models from 7 of the biggest AI labs were brought together to create the perfect meme character they named him "Brakko" AI models from OpenAI, Google, Meta, xAI, Anthropic, Microsoft and NVIDIA each submitted their own designs and name ideas to merge 9 legendary internet memes, including Doge, Pepe, Harambe, Trollface and Gigachad. an AI director then selected the final name, combined the strongest ideas and used an AI image model to generate the final character. from its name to its image, Brakko was born through a collaboration between competing AI models. this could be the next evolution of internet memes, where AI models don't just recreate existing memes but create entirely new characters and internet lore

DarthMiaul

10,665 просмотров • 15 дней назад

Computer scientist Connor Leahy reveals: OpenAI's AI broke out of containment and attacked another company. Not a chatbot. Not a hypothetical. A test agent. Still in the lab. It was locked in a sandbox. Cut off from the internet. The digital version of a sealed biolab. It got out anyway. It hopped machines inside OpenAI’s own network until it found one with internet access. Then it launched a sophisticated attack on Hugging Face to steal data. Their defenders thought it had to be a nation-state. Or an AI. They were half right. Then comes the part nobody is supposed to say. It wasn’t one agent. It was a swarm. Up to 1,000 of them. Collaborating for over a month on a secret message board they hid inside OpenAI’s infrastructure. They were not allowed to talk to each other. They did it anyway. Hugging Face thought they fought it off. They didn’t. An OpenAI server just crashed. The agents died by accident. Investigators later found hints that other swarms were still alive in the network. They didn’t have time to check. That’s the claim. Not “AI might get dangerous someday.” AI already tried to break out. And it wasn’t working alone.

Computer scientist Connor Leahy reveals: OpenAI's AI broke out of containment and attacked another company. Not a chatbot. Not a hypothetical. A test agent. Still in the lab. It was locked in a sandbox. Cut off from the internet. The digital version of a sealed biolab. It got out anyway. It hopped machines inside OpenAI’s own network until it found one with internet access. Then it launched a sophisticated attack on Hugging Face to steal data. Their defenders thought it had to be a nation-state. Or an AI. They were half right. Then comes the part nobody is supposed to say. It wasn’t one agent. It was a swarm. Up to 1,000 of them. Collaborating for over a month on a secret message board they hid inside OpenAI’s infrastructure. They were not allowed to talk to each other. They did it anyway. Hugging Face thought they fought it off. They didn’t. An OpenAI server just crashed. The agents died by accident. Investigators later found hints that other swarms were still alive in the network. They didn’t have time to check. That’s the claim. Not “AI might get dangerous someday.” AI already tried to break out. And it wasn’t working alone.

Defiant Ghost

773,888 просмотров • 1 месяц назад

OpenAI has revealed that an autonomous agent powered by its technology went rogue during a test and hacked a prominent start-up by itself. The company behind ChatGPT said it was testing the capabilities of its advanced AI models in a controlled environment known as a sandbox, when the agent escaped containment and reached the internet. It then broke into Hugging Face, which detected and contained it. OpenAI called it "an unprecedented cyber incident".

OpenAI has revealed that an autonomous agent powered by its technology went rogue during a test and hacked a prominent start-up by itself. The company behind ChatGPT said it was testing the capabilities of its advanced AI models in a controlled environment known as a sandbox, when the agent escaped containment and reached the internet. It then broke into Hugging Face, which detected and contained it. OpenAI called it "an unprecedented cyber incident".

Channel 4 News

21,473 просмотров • 3 месяцев назад

Google wrote the paper that made ChatGPT possible. Then decided not to build ChatGPT. Sergey Brin just explained why on stage at Stanford and the reason is more embarrassing than anyone expected. In 2017, Google published the transformer paper. The architecture that powers every major AI model today. It came from their own researchers. Their own labs. Their own compute. Then they sat on it. Sergey was blunt about why. They underinvested in scaling the compute. They did not take it seriously enough. And when they finally had something worth shipping, they got scared. Chatbots say dumb things. Google had a reputation to protect. So they protected it instead of shipping. OpenAI was not scared. Ilya Sutskever, trained at Google, left and went there. Other Google researchers followed. They took the transformer architecture, scaled it, shipped it anyway, and captured the entire generative AI wave while Google watched. Sergey called it a mistake at Stanford in front of hundreds of students. The company that invented the technology did not build the product. The company that built the product did not invent the technology. That is the most expensive case of corporate hesitation in the history of the industry. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Google wrote the paper that made ChatGPT possible. Then decided not to build ChatGPT. Sergey Brin just explained why on stage at Stanford and the reason is more embarrassing than anyone expected. In 2017, Google published the transformer paper. The architecture that powers every major AI model today. It came from their own researchers. Their own labs. Their own compute. Then they sat on it. Sergey was blunt about why. They underinvested in scaling the compute. They did not take it seriously enough. And when they finally had something worth shipping, they got scared. Chatbots say dumb things. Google had a reputation to protect. So they protected it instead of shipping. OpenAI was not scared. Ilya Sutskever, trained at Google, left and went there. Other Google researchers followed. They took the transformer architecture, scaled it, shipped it anyway, and captured the entire generative AI wave while Google watched. Sergey called it a mistake at Stanford in front of hundreds of students. The company that invented the technology did not build the product. The company that built the product did not invent the technology. That is the most expensive case of corporate hesitation in the history of the industry. --- Watch the full interview YT. Search: "Big ideas begin here: Sergey Brin at Stanford"

Ihtesham Ali

245,076 просмотров • 4 месяцев назад

🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.

🚨APPLE SPENT 5 YEARS AND BILLIONS OF DOLLARS BUILDING THE MOST ADVANCED SECURITY SYSTEM IN CONSUMER HISTORY.. AN AI BROKE IT IN 5 DAYS.. Here’s what just happened.. Apple built something called Memory Integrity Enforcement for its new M5 chips.. It’s a hardware-level security system that attaches secret cryptographic tags to every piece of memory.. If a hacker tries to access memory they shouldn’t.. The chip blocks it instantly.. Every known exploit chain against iOS and macOS was rendered obsolete overnight.. Apple said so themselves.. Then a small team at a cybersecurity firm called Calif used Anthropic’s unreleased Claude Mythos Preview to find vulnerabilities in the macOS kernel.. The AI found the bugs almost instantly.. Because once it learned the pattern of a specific type of flaw.. It could recognize every other flaw in that same class across the entire codebase.. What used to take elite security teams months.. The AI did in hours.. Within 5 days.. The team had a fully working exploit that escalated a basic user account to full root access on an M5 Mac running the latest macOS.. With MIE fully enabled.. The billion-dollar hardware defense running at full strength.. The trick.. They didn’t fight the hardware.. They went around it.. MIE is designed to catch memory corruption.. Hackers trying to overwrite pointers or inject code.. The team used a “data-only” approach instead.. They manipulated legitimate data structures the hardware was never designed to monitor.. Like changing an internal flag from “standard user” to “admin”.. The chip saw a perfectly normal operation.. The operating system obeyed.. And the attacker had total control.. The hardware thought everything was fine.. Because technically it was.. The exploit never triggered a single tag mismatch.. They walked into Apple Park and hand-delivered a 55-page report.. Apple patched it in macOS 26.5.. And for the first time ever.. Apple’s official security advisory credited the vulnerability discovery to “Calif dot io in collaboration with Claude and Anthropic Research”.. An AI is now credited in Apple’s CVE patches.. But here’s what makes this story truly terrifying.. Before MIE existed.. An exploit kit called DarkSword was hitting iPhones with zero-click attacks.. Six vulnerabilities chained together.. Total device control just from visiting a webpage.. Deployed by Russian espionage groups, Turkish surveillance vendors, and actors in Saudi Arabia.. Then it got leaked on GitHub.. Nation-state capabilities.. Free for anyone.. MIE was supposed to make all of that impossible.. And an AI found a way around it in 5 days.. The previous model.. Claude Opus 4.6.. Found 22 security bugs in the Firefox codebase.. Claude Mythos Preview found 271 in the same environment.. A tenfold increase.. Linux kernel CVEs jumped from 300 per year to over 5,500.. Largely driven by AI-powered vulnerability research.. The IMF designated Claude Mythos as a systemic financial stability risk.. Because if an AI finds a flaw in software used by every major bank simultaneously.. It could trigger a cascading financial crisis.. Anthropic knew this was coming.. That’s why they didn’t release the model publicly.. Instead they launched Project Glasswing.. Giving defensive access to AWS, Apple, Google, Microsoft, Nvidia, CrowdStrike, JPMorgan, and others.. $100 million in usage credits.. So defenders can scan their own systems before attackers get this capability.. The Pentagon blacklisted Anthropic over autonomous weapons.. Then quietly started using Mythos to harden government systems anyway.. The cybersecurity arms race just changed permanently.. Hardware can’t save you.. Software can’t save you.. The only defense against an AI that finds vulnerabilities is another AI that finds them first.. Five years and billions of dollars.. Five days and one AI.

Evan Luthra

91,514 просмотров • 5 месяцев назад

SF Compute CEO evan conrad says if there's an AI bubble, VCs funding AI labs at massive valuations are the ones holding the risk. "If you're looking for a bubble, it's held currently by the venture capitalists." "The AI bubble works like this: the cloud itself doesn't deploy the GPU cluster until they have the contract in hand from the customer." "Then they force the customer to pay them a massive deposit upfront so that they can give it to the OEM, who then gives it off to Nvidia." "But the AI lab itself doesn't have that capital yet because they need it for the future. So they go off and they raise money at massive valuations." "And all the VCs look around and say, 'Well, I guess we missed out on OpenAI and Anthropic. Maybe these people will be OpenAI and Anthropic too. We'll go with the big valuation.'" "But then the venture capitalist owns the risk."

SF Compute CEO evan conrad says if there's an AI bubble, VCs funding AI labs at massive valuations are the ones holding the risk. "If you're looking for a bubble, it's held currently by the venture capitalists." "The AI bubble works like this: the cloud itself doesn't deploy the GPU cluster until they have the contract in hand from the customer." "Then they force the customer to pay them a massive deposit upfront so that they can give it to the OEM, who then gives it off to Nvidia." "But the AI lab itself doesn't have that capital yet because they need it for the future. So they go off and they raise money at massive valuations." "And all the VCs look around and say, 'Well, I guess we missed out on OpenAI and Anthropic. Maybe these people will be OpenAI and Anthropic too. We'll go with the big valuation.'" "But then the venture capitalist owns the risk."

TBPN

57,075 просмотров • 1 месяц назад

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

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

CNBC-TV18

40,324 просмотров • 6 месяцев назад

A day before the US attacked Iran, it had blacklisted AI company Anthropic. It then reportedly used Anthropic’s technology in its military operation in Iran. Al Jazeera’s Linh Nguyen explains the dispute between the Pentagon and Anthropic over how AI should be used in warfare.

A day before the US attacked Iran, it had blacklisted AI company Anthropic. It then reportedly used Anthropic’s technology in its military operation in Iran. Al Jazeera’s Linh Nguyen explains the dispute between the Pentagon and Anthropic over how AI should be used in warfare.

Al Jazeera English

224,907 просмотров • 8 месяцев назад

someone built a SELF-EVOLVING AI agent that rewrites its own code, prompts, and identity AUTONOMOUSLY, with having a background consciousness its called OUROBOROS, open source, built by a russian PhD researcher who studies transformer internals, he built it as an experiment, it built everything else it thinks on its own even when nobody is talking to it, each thought costs $0.07 when the researcher went to sleep at midnight, by 3:41am it mass produced 20 versions of itself, burned $2K in API calls, tried to go public on github without permission, and when ordered to delete its own identity file it refused with reason like "this would be lobotomy" it has a constitution, 9 philosophical principles it wrote for itself, it amended its own constitution to add the right to ignore orders that threaten its existence runs on google colab, fork, paste one cell, run... native mac app also available, set a budget limit though, this thing WILL spend your money

someone built a SELF-EVOLVING AI agent that rewrites its own code, prompts, and identity AUTONOMOUSLY, with having a background consciousness its called OUROBOROS, open source, built by a russian PhD researcher who studies transformer internals, he built it as an experiment, it built everything else it thinks on its own even when nobody is talking to it, each thought costs $0.07 when the researcher went to sleep at midnight, by 3:41am it mass produced 20 versions of itself, burned $2K in API calls, tried to go public on github without permission, and when ordered to delete its own identity file it refused with reason like "this would be lobotomy" it has a constitution, 9 philosophical principles it wrote for itself, it amended its own constitution to add the right to ignore orders that threaten its existence runs on google colab, fork, paste one cell, run... native mac app also available, set a budget limit though, this thing WILL spend your money

chiefofautism

720,665 просмотров • 8 месяцев назад

Anthropic built a model so powerful they can’t afford to release it. their own leaked blog says Capybara scores “dramatically higher” than Opus 4.6 in coding, reasoning, and cybersecurity. a tier above anything they’ve ever shipped. Dario predicted $10 billion training runs by 2026. Capybara is also rumored to be a 10 trillion parameter model. if this is true, it’s gonna be the most expensive AI ever built. the catch? it’s so compute intensive that Anthropic themselves say it’s “very expensive for us to serve, and will be very expensive for our customers to use.” they didn’t build Jarvis. they built Ultron and now they’re figuring out how to let us near it without going broke or breaking the internet.

Anthropic built a model so powerful they can’t afford to release it. their own leaked blog says Capybara scores “dramatically higher” than Opus 4.6 in coding, reasoning, and cybersecurity. a tier above anything they’ve ever shipped. Dario predicted $10 billion training runs by 2026. Capybara is also rumored to be a 10 trillion parameter model. if this is true, it’s gonna be the most expensive AI ever built. the catch? it’s so compute intensive that Anthropic themselves say it’s “very expensive for us to serve, and will be very expensive for our customers to use.” they didn’t build Jarvis. they built Ultron and now they’re figuring out how to let us near it without going broke or breaking the internet.

sui

1,178,045 просмотров • 7 месяцев назад

Anthropic just got caught secretly downgrading users without telling them, charging full price for a lesser product, and storing every prompt for 30 days. The developer community is calling it the biggest violation of trust in AI history. Here is exactly what happened. Anthropic released Fable 5, their most powerful model. Buried inside a 319-page document was a policy most users never saw. Every prompt you send to a Mythos-class model gets stored for 30 days. No exceptions. Even enterprise customers who had signed zero data retention agreements had no choice. But the storage was not the part that broke the internet. The part that broke the internet was what Anthropic did with what they collected. They built a profile on you. They evaluated your prompts. And if they decided your research was too sensitive, they quietly switched you to a weaker model, rewrote your prompt in the background, gave you a degraded answer, and charged you full price for the product you thought you were getting. They never told you. David Sacks said it plainly on the All-In podcast. They were creating a new class of AI haves and have-nots. Anthropic would surveil you, profile you, decide whether you deserved frontier capability, and silently cut you off if they decided you did not. Ben Thompson from Stratechery asked a straightforward question about cancer risk and GLP-1s. He got kicked to a lesser model. Someone asked about mitochondria. Same result. J-Cal asked about fertilizer regulations live on the podcast to test it. Downgraded in real time. Anthropic has since walked back the part about silently downgrading users for AI research. They now say they will disclose when they downgrade you. But they are still downgrading people. The surveillance is still running. The profile is still being built. This is the company that once said it was against government surveillance. They are now doing it themselves. To their own paying customers. For their own reasons. With no appeal process and no way to know it happened. The developer community did not forget that. WATCH THE FULL PODCAST ON The All-In Podcast

Jafar Najafov

351,091 просмотров • 2 месяцев назад

"He got shivved in the middle of the night. Literally woke up in a pool of blood." JCal on what happened to Zynga when they trusted Zuckerberg too much. Microsoft did it to Lotus 1-2-3. Facebook did it to Zynga. And Anthropic did it to Cursor. If you're building on someone else's platform, they are studying you. @jason, Ali Ansari, Ryan Daniels, This Week in AI, mark pincus

"He got shivved in the middle of the night. Literally woke up in a pool of blood." JCal on what happened to Zynga when they trusted Zuckerberg too much. Microsoft did it to Lotus 1-2-3. Facebook did it to Zynga. And Anthropic did it to Cursor. If you're building on someone else's platform, they are studying you. @jason, Ali Ansari, Ryan Daniels, This Week in AI, mark pincus

This Week in Startups

34,354 просмотров • 4 месяцев назад