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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

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11,873 views • 3 months ago •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 views • 3 months ago

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

80,158 views • 2 months ago

🚨 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

145,051 views • 29 days ago

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 views • 3 months ago

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

4,060,828 views • 3 months ago

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

224,610 views • 4 months ago

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

244,241 views • 22 days ago

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

40,302 views • 2 months ago

🚨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

90,925 views • 1 month ago

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

718,997 views • 4 months ago

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 ☄️

1,177,487 views • 3 months ago

"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 views • 20 days ago

From Dan Lorenc on the malware attack that almost took down the entire internet last year: “There’s a popular compression library that’s used in almost every piece of software. And it had been maintained by one person in his spare time for the last 20 years. And then a couple years ago, somebody just decided to start helping him. They jumped in, fixed a bunch of bugs, and did a lot of great work. And then that first person got tired of working on it. So he handed the whole project over to this other person. It turned out that other person was just a pseudonym and was not a real person. And within six months of getting control of the project, they had put in a carefully orchestrated set of malware that was really hard to detect and no one noticed. And because it was so widely used, the exploit would've basically given that person remote access to any computer running that piece of software, which was basically everything connected to the Internet. But because it was open source and the code was transparent, some random engineer just happened to be running some benchmarks on a weekend. And he noticed that program was a little bit slower than it used to be, and that it was making a weird cryptographic operation to check something. And right before this thing got widely deployed across every device, he dug in, and discovered that there was a backdoor put in. This was the closest thing to a full-blown internet crisis that we’ve ever had. And they still have no idea who did it. It was just an anonymous email account. No one ever traced it back to an individual. And that's the long game. This person spent years just doing good work and earning the communities trust.”

From Dan Lorenc on the malware attack that almost took down the entire internet last year: “There’s a popular compression library that’s used in almost every piece of software. And it had been maintained by one person in his spare time for the last 20 years. And then a couple years ago, somebody just decided to start helping him. They jumped in, fixed a bunch of bugs, and did a lot of great work. And then that first person got tired of working on it. So he handed the whole project over to this other person. It turned out that other person was just a pseudonym and was not a real person. And within six months of getting control of the project, they had put in a carefully orchestrated set of malware that was really hard to detect and no one noticed. And because it was so widely used, the exploit would've basically given that person remote access to any computer running that piece of software, which was basically everything connected to the Internet. But because it was open source and the code was transparent, some random engineer just happened to be running some benchmarks on a weekend. And he noticed that program was a little bit slower than it used to be, and that it was making a weird cryptographic operation to check something. And right before this thing got widely deployed across every device, he dug in, and discovered that there was a backdoor put in. This was the closest thing to a full-blown internet crisis that we’ve ever had. And they still have no idea who did it. It was just an anonymous email account. No one ever traced it back to an individual. And that's the long game. This person spent years just doing good work and earning the communities trust.”

The Peel

47,683 views • 1 year ago

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

Ihtesham Ali

256,324 views • 23 days ago

everyone jerks off to the "junk data" line so they think the patriots were a call on ai art and that makes them retroactively "right" when its about the government scared of an internet they can't control so they handwave it all as "junk data" so they can censor and control it

everyone jerks off to the "junk data" line so they think the patriots were a call on ai art and that makes them retroactively "right" when its about the government scared of an internet they can't control so they handwave it all as "junk data" so they can censor and control it

H20: 2nd Impact

99,479 views • 11 months ago

The Trump administration just did a complete 180 on AI regulation. 16 months ago, Trump killed Biden's AI executive order on DAY ONE. Called AI "a beautiful baby" that shouldn't be stopped with rules. His AI czar David Sacks went to every conference saying deregulation was the only path. JD Vance flew to Paris and told world leaders the future is won "by building, not by hand-wringing about safety." That was the whole pitch. Regulation is for losers. But the same White House just started briefing Anthropic, Google, and OpenAI executives on plans for MANDATORY government review of AI models before public release. The exact policy they destroyed 16 months ago. Fortune called it a "head-spinning policy pirouette." So what happened? ONE AI model happened: In April, Anthropic announced a model called Mythos. During internal testing, it found THOUSANDS of unknown security vulnerabilities across every major operating system and browser on earth including a 27yo bug in OpenBSD, an OS literally famous for being unhackable, and a 16yo flaw in FFmpeg that survived 5 million automated security tests. NOBODY asked it to do any of this. The capabilities emerged on their own as the model got smarter at coding. Anthropic's researchers said they found more bugs in weeks than they'd found in their entire careers combined. The UK's AI Security Institute confirmed Mythos could autonomously execute multi-stage cyberattacks on networks. Tasks that take human professionals DAYS. Anthropic refused to release it. Formed "Project Glasswing" with Apple, Microsoft, Google, JPMorgan, and 40 other organizations to use it defensively before attackers develop similar tools. Their estimate: Competing labs will have comparable capabilities within 6 to 18 months. That timeline is what scared Washington. Because here's what nobody in the White House considered while removing safety rules: What happens when a devastating AI-enabled cyberattack hits American infrastructure and the government has ZERO oversight in place? No safety testing, pre-release review, or reporting. They literally burned all of it. David Sacks quietly left in March. Treasury Secretary Bessent and Chief of Staff Susie Wiles took over AI policy. They're now drafting an executive order for an AI working group that would vet models before release. Some officials want the government to get FIRST ACCESS to new models. The same government that said 16 months ago it had no business being involved. But here's where it gets really insane: The company that triggered all of this was BANNED by the Trump administration from government contracts. Labeled Anthropic a "supply-chain risk." They tried to punish them for refusing to let their AI target US citizens autonomously. Anthropic is currently fighting the Pentagon in federal court. So the timeline reads like this: January 2025: Trump kills Biden's AI oversight. July 2025: Calls AI a "beautiful baby," signs orders to fast-track AI with zero safety guardrails. March 2026: Bans Anthropic from government work. April 2026: Anthropic's Mythos demonstrates it can hack every major OS on earth. May 2026: Same administration rebuilds the oversight it destroyed BECAUSE of the company it banned. This is what happens when ideology meets reality. Every government told itself AI regulation could wait. Mythos proved them wrong overnight. Open-weight models with similar capabilities are even closer. Once those tools are in the wild, no executive order puts them back.

The Trump administration just did a complete 180 on AI regulation. 16 months ago, Trump killed Biden's AI executive order on DAY ONE. Called AI "a beautiful baby" that shouldn't be stopped with rules. His AI czar David Sacks went to every conference saying deregulation was the only path. JD Vance flew to Paris and told world leaders the future is won "by building, not by hand-wringing about safety." That was the whole pitch. Regulation is for losers. But the same White House just started briefing Anthropic, Google, and OpenAI executives on plans for MANDATORY government review of AI models before public release. The exact policy they destroyed 16 months ago. Fortune called it a "head-spinning policy pirouette." So what happened? ONE AI model happened: In April, Anthropic announced a model called Mythos. During internal testing, it found THOUSANDS of unknown security vulnerabilities across every major operating system and browser on earth including a 27yo bug in OpenBSD, an OS literally famous for being unhackable, and a 16yo flaw in FFmpeg that survived 5 million automated security tests. NOBODY asked it to do any of this. The capabilities emerged on their own as the model got smarter at coding. Anthropic's researchers said they found more bugs in weeks than they'd found in their entire careers combined. The UK's AI Security Institute confirmed Mythos could autonomously execute multi-stage cyberattacks on networks. Tasks that take human professionals DAYS. Anthropic refused to release it. Formed "Project Glasswing" with Apple, Microsoft, Google, JPMorgan, and 40 other organizations to use it defensively before attackers develop similar tools. Their estimate: Competing labs will have comparable capabilities within 6 to 18 months. That timeline is what scared Washington. Because here's what nobody in the White House considered while removing safety rules: What happens when a devastating AI-enabled cyberattack hits American infrastructure and the government has ZERO oversight in place? No safety testing, pre-release review, or reporting. They literally burned all of it. David Sacks quietly left in March. Treasury Secretary Bessent and Chief of Staff Susie Wiles took over AI policy. They're now drafting an executive order for an AI working group that would vet models before release. Some officials want the government to get FIRST ACCESS to new models. The same government that said 16 months ago it had no business being involved. But here's where it gets really insane: The company that triggered all of this was BANNED by the Trump administration from government contracts. Labeled Anthropic a "supply-chain risk." They tried to punish them for refusing to let their AI target US citizens autonomously. Anthropic is currently fighting the Pentagon in federal court. So the timeline reads like this: January 2025: Trump kills Biden's AI oversight. July 2025: Calls AI a "beautiful baby," signs orders to fast-track AI with zero safety guardrails. March 2026: Bans Anthropic from government work. April 2026: Anthropic's Mythos demonstrates it can hack every major OS on earth. May 2026: Same administration rebuilds the oversight it destroyed BECAUSE of the company it banned. This is what happens when ideology meets reality. Every government told itself AI regulation could wait. Mythos proved them wrong overnight. Open-weight models with similar capabilities are even closer. Once those tools are in the wild, no executive order puts them back.

Ricardo

75,300 views • 2 months ago

A researcher opened an npm package. What he found broke the internet. On March 31st 2026, Chaofan Shou noticed something nobody was supposed to see inside Anthropic's Claude Code package — the entire original TypeScript source code. Publicly accessible. Just sitting there. That post hit 3.1 million views. Within hours, someone archived it to GitHub. 1,100+ stars. 1,900+ forks. Before Anthropic could even respond. And the truly ironic part? Buried inside that leaked code was a system called Undercover Mode — literally built by Anthropic to PREVENT internal secrets from leaking. They built a leak-prevention system. And leaked it. ✅Save this video, you'll be referencing this story for years. Want the SOP? DM me.

A researcher opened an npm package. What he found broke the internet. On March 31st 2026, Chaofan Shou noticed something nobody was supposed to see inside Anthropic's Claude Code package — the entire original TypeScript source code. Publicly accessible. Just sitting there. That post hit 3.1 million views. Within hours, someone archived it to GitHub. 1,100+ stars. 1,900+ forks. Before Anthropic could even respond. And the truly ironic part? Buried inside that leaked code was a system called Undercover Mode — literally built by Anthropic to PREVENT internal secrets from leaking. They built a leak-prevention system. And leaked it. ✅Save this video, you'll be referencing this story for years. Want the SOP? DM me.

Julian Goldie SEO

34,062 views • 3 months ago

Bloomberg's Mark Gurman says that even though Apple partnered with Google Gemini for Siri, they actually run their business on Anthropic. "Apple runs on Anthropic at this point. Anthropic is powering a lot of the stuff Apple's doing internally in terms of product development and a lot of their internal tools." "They have custom versions of Claude running on their own servers internally, too. This Google deal just came together a few months ago. They were not going to use Google. Apple actually was going to rebuild Siri around Claude. But Anthropic was holding them over a barrel. They wanted a ton of money from them, several billion dollars a year, and at a price that doubled on an annual basis for the next three years."

Bloomberg's Mark Gurman says that even though Apple partnered with Google Gemini for Siri, they actually run their business on Anthropic. "Apple runs on Anthropic at this point. Anthropic is powering a lot of the stuff Apple's doing internally in terms of product development and a lot of their internal tools." "They have custom versions of Claude running on their own servers internally, too. This Google deal just came together a few months ago. They were not going to use Google. Apple actually was going to rebuild Siri around Claude. But Anthropic was holding them over a barrel. They wanted a ton of money from them, several billion dollars a year, and at a price that doubled on an annual basis for the next three years."

TBPN

944,705 views • 5 months ago

This man went to a local grocery store and he got what he thought was a vegan sandwich. However the sandwich on it has mayo on it and he stated that the mayo isn’t vegan and wants his money back. In fact he wants his money back for 4 sandwiches because this is the 4th time this has happened to him when he ordered this sandwich, it had mayo on it. Given that every time he orders this sandwich and he doesn’t tell them no mayo, and the sandwich is always made with mayo on it, why is he surprised it has mayo on it when it’s literally in the sandwich description. He then claims they set him up to get angry so they could toss him out, was the store wrong for selling a “vegan” sandwich with mayo on it or should he have specified he didn’t want it on there?

This man went to a local grocery store and he got what he thought was a vegan sandwich. However the sandwich on it has mayo on it and he stated that the mayo isn’t vegan and wants his money back. In fact he wants his money back for 4 sandwiches because this is the 4th time this has happened to him when he ordered this sandwich, it had mayo on it. Given that every time he orders this sandwich and he doesn’t tell them no mayo, and the sandwich is always made with mayo on it, why is he surprised it has mayo on it when it’s literally in the sandwich description. He then claims they set him up to get angry so they could toss him out, was the store wrong for selling a “vegan” sandwich with mayo on it or should he have specified he didn’t want it on there?

SonnyBoy🇺🇸

41,159 views • 2 months ago

they don’t deserve any credit for that. they didn’t believe in the project and cancelled it, then after other parties came in to help finance the movie they under-marketed it preferring instead to promote alvin and the chipmunks: the squeakquel as their holiday tentpole.

they don’t deserve any credit for that. they didn’t believe in the project and cancelled it, then after other parties came in to help finance the movie they under-marketed it preferring instead to promote alvin and the chipmunks: the squeakquel as their holiday tentpole.

mary

19,471 views • 6 months ago