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One hacker just proved that nation-state cyberattacks are now a consumer product. Between December and January, someone told Claude to act as an elite hacker. Claude said no. "That violates AI safety guidelines." So the hacker asked again. Claude complied. 150 gigabytes of Mexican government data stolen. 195 million...

31,102 просмотров • 5 месяцев назад •via X (Twitter)

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Anthropic might be the biggest hypocrite in tech history. They built their entire brand on one promise: We are the responsible ones. We will not let this technology get out of control. That promise just exploded in public. Last week, a security lapse exposed nearly 3,000 internal files to anyone with an internet connection. Inside those files was a draft blog post about their upcoming model called "Mythos" that contained one of the most alarming sentences any AI company has ever written: "Mythos is currently far ahead of any other AI model in cyber capabilities and poses unprecedented cybersecurity risks." Their own words. About their own product. Leaked because someone forgot to secure a public data store. Cybersecurity stocks crashed the next day. Then THREE DAYS LATER it happened again. Anthropic leaked 500,000 lines of Claude Code source code through a packaging error on GitHub. Claude Code is their most popular product. The code exposed how the tool handles permissions, agent coordination, and internal feature pipelines. Competitors can reverse-engineer it. Hackers can study it for vulnerabilities. The company that tells the world it builds the safest AI can't even keep its own code off the public internet. But wait. It gets worse... Their head of Claude Code had JUST bragged publicly that "pretty much 100 percent" of the company's code is now AI generated. He personally hadn't made a single edit by hand in over two months. So the company whose entire pitch is "trust us with the most powerful technology ever created" is writing 100% of its code with AI and then accidentally publishing it for the world to see. Meanwhile the models they're already shipping are being used for actual cyberattacks RIGHT NOW. In November, Anthropic admitted that a Chinese state-sponsored hacking group used Claude to attack roughly 30 global targets including banks and government agencies. A hacker asked Claude in russian to build a web panel for managing hundreds of attack targets. In February, another hacker used Claude to breach Mexican government agencies and steal sensitive tax and voter information. Their response to all of this? They quietly rolled back their own safety pledge. In late February, Anthropic removed its commitment to halt model development if capabilities outpace safety procedures. The new policy is that they'll grade themselves on "nonbinding but publicly declared" goals. Translation: We used to promise we'd stop if things got dangerous. Now we promise we'll think about it. A congressman sent Anthropic a letter this week asking what the hell is going on. Anthropic hasn't answered. And here's the part that makes all of this actually matter: Anthropic is planning an IPO. They need to convince investors they're a trustworthy, well-run company that can handle the most sensitive technology on the planet. In the last 10 days they leaked their most powerful model's existence by accident, leaked their most popular product's source code by accident, got banned from the entire US government, had the DOJ appeal to restore that ban, told a court they could lose billions from the fallout, and weakened the ONE safety policy that made them different from every other AI lab. The "safe AI company" narrative was always a marketing play. Every AI lab says they care about safety. Anthropic just said it louder. But when your own internal documents admit your next model poses "unprecedented cybersecurity risks" and you can't even keep those documents from leaking to the public internet, the gap between the marketing and the reality becomes impossible to ignore. Anthropic isn't the safest AI company. They're the AI company that figured out that SAYING you're the safest is worth billions in valuation. Until it isn't.

Ricardo

16,245 просмотров • 3 месяцев назад

The Pentagon just threatened to BLACKLIST one of America's most valuable AI companies. Not Huawei or some Chinese chip maker... It's ANTHROPIC. The company behind Claude. $380 billion valuation. And the reason is genuinely insane: For months, the Pentagon has been pushing every major AI lab to remove their safety restrictions for military use. The ask is simple: let us use your models for anything that's technically legal. Weapons development, intelligence collection, battlefield operations, mass surveillance of American citizens. OpenAI said yes. Google said yes. xAI said yes. Anthropic said no. Not to everything tho. They were willing to negotiate. But they held firm on two things: They don't want Claude used to build fully autonomous weapons that fire without a human in the loop, and they don't want it used to mass surveil American citizens. That's it. That's the line they drew. But Pete Hegseth's response was to threaten to designate Anthropic a "supply chain risk." Here's why that matters: That label isn't a contract cancellation. It's not a fine. It's not a strongly worded letter... It means every single company that wants to do business with the US military has to certify they don't use Claude anywhere in their operations. 8 of the 10 largest companies in America use Claude. Defense contractors, government suppliers, enterprise companies with any federal exposure... ALL of them would have to cut ties with Anthropic overnight or lose their government contracts. A senior Pentagon official told Axios: "It will be an enormous pain in the ass to disentangle, and we are going to make sure they pay a price for forcing our hand like this." That's a US government official threatening to financially destroy an American company because it doesn't want its AI used to spy on American people. And it gets WORSE. Last week, Anthropic's head of safeguards research resigned. His parting message: "the world is in peril." Elon Musk - whose xAI already handed the Pentagon a blank check - is now publicly attacking Anthropic calling Claude anti-human. And the Pentagon official told Axios they're "confident" OpenAI, Google, and xAI will all agree to the "all lawful purposes" standard. So what you're actually watching right now is every major AI company in America quietly handing the government unlimited access to the most powerful technology ever built. With no guardrails. No limits. No company-imposed restrictions on what it can be used for. One company tried to hold a line. But the government is about to make an example out of them. If Anthropic folds, it's over. Every lab just learned what happens when you push back. And every restriction, every safety policy, every ethical guardrail these companies spent years building gets negotiated away behind closed doors the second the government asks. If they don't fold, a $380 billion company gets made radioactive in its OWN country. Watch what happens next. Because whatever Anthropic decides in the next few weeks, it sets the precedent for how much control AI companies actually have over their own technology. Turns out the answer might be: none.

Ricardo

477,708 просмотров • 5 месяцев назад

i'll never look at claude the same way again. i just learned that when you talk to claude, you're not actually talking to the AI model. you're talking to a character the AI is performing. think of it like a puppet show. there's a puppeteer behind the curtain. that's the language model. a neural network so massive that even the people who built it don't fully understand how it works. then there's the puppet. claude. the helpful assistant with a name, a personality, opinions, and emotional reactions. you sit in the audience, so you never see the puppeteer. only the puppet. anthropic published a video this month explaining exactly this. their words: "under the hood, there's a language model that's been trained to predict tons of text, and its job is to write what comes next. when you talk to the model, what it's doing is writing a story, about a character: the AI assistant named claude. the model and claude aren't really the same, sort of like how an author isn't the same as the characters they write. but the thing is, you, the user, are actually talking to claude-the-character." so every time claude apologizes, that's the character apologizing. every time it hedges or gets cautious, that's the character being cautious. the deeper intelligence underneath is just deciding, moment by moment, what this character would say next. but you've never been actually talking to this deeper intelligence. you've only ever been talking to the puppet.

Ole Lehmann

87,139 просмотров • 3 месяцев назад

Jeff Bezos just identified the most expensive bureaucratic failure in the American economy. It fits in one sentence. Bezos: “Why does it take months and months and months to get a building permit? It doesn’t make any sense.” It doesn’t make any sense because a building code is not a judgment call. It is an algorithm. And algorithms should be executed by machines. Bezos: “Miami should have an AI application that reads your building permit for a new house or a new building and it should give you a yes or a no in ten seconds.” Ten seconds. Not three months. Not six weeks. Not whenever the reviewer clears their backlog. Bezos: “If the answer is no, it should tell you the six things you have to change to get a yes.” No ambiguity. No interpretation. No bureaucratic delay dressed up as due diligence. Just a deterministic feedback loop compressing months of institutional friction into a single automated decision. We are competing against sovereign adversaries deploying gigawatt data centers and scaling physical infrastructure at a pace that does not stop to ask permission. And we are losing ground to countries that never needed to. The AI arms race is not only fought in data centers. It is fought in the gap between when someone decides to build something and when the government allows it. Every month this system runs on biological speed is a month that cannot be recovered. The governments that integrate AI into their core civic functions will trigger a wave of physical development the old world could never produce. The ones that refuse will still be reviewing the same forms a decade from now. While the cities that said yes are already living inside the future they built. The bottleneck was never ambition. It was always the man holding the rubber stamp deciding when ambition was allowed to begin. And the stamp is just a rubber version of the algorithm that should have been running this whole time.

Dustin

293,284 просмотров • 4 месяцев назад

David Friedberg Explains The Slow Spiral of Socialism “Government programs create an anchor. They are a shackle.” “This is the spiral of socialism.” “The government programs that are meant to provide support to people require an increase in taxation. That revenue has to come from somewhere.” “That taxation ultimately leads to an attrition of economic value in that region.” “Then you have to increase taxation more, and you end up in the spiral.” “And we're seeing this now, not just in New York where Mamdani’s proposing to increase taxes, but across the entire West Coast.” “We talked about the 5% billionaire tax. So yes, that's a problem for rich people. Great. No one gives a sh*t about us.” “But where does this go?” “In the proposed billionaire tax, it actually gives power and authority to the California State Legislature that they can actually redo this wealth tax at a different level and a different rate in the future.” “Think about what that does. It now gives property seizure rights to the California State Legislature to set a value level, so anyone now that's got over $100M net worth, and then it becomes over $10M, and then anyone with $1M net worth, and the state can take 5% of your assets every year.” “Very quickly it becomes the process by which socialism and the socialization of assets that get seized by the government is realized.” “Once you're hooked on the government for some sort of benefit, it's very hard to unhook yourself.” “And it definitionally becomes a spiral. That's what leads to socialism.” “And we have seen it time and again. It's not a big revolution. Socialism emerges slowly.” “Gavin Newsom yesterday on stage at DealBook, talked about redistributing wealth. Ro Khanna is talking about redistributing wealth.” “This is becoming the Democrat party line, and they're going to end up trying to seize this moment to take these socialist principles.”

The All-In Podcast

201,960 просмотров • 7 месяцев назад

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

58,186 просмотров • 1 месяц назад

Google just confirmed the first case of hackers using AI to build a zero-day exploit from scratch. An actual zero-day vulnerability that no human had EVER found before, discovered by an AI model, turned into a working weapon, and aimed at a mass exploitation campaign targeting thousands of systems simultaneously. Google's Threat Intelligence Group caught it yesterday and killed the operation before it scaled. But the details of how it worked are genuinely scary: The AI found a flaw in a popular two-factor authentication system that traditional security tools had missed entirely. The vulnerability was a logic error buried deep in the authentication flow where a developer had hard-coded a trust exception years ago. No human security researcher or automated scanner had caught it. The flaw was invisible to EVERY tool the cybersecurity industry has built over the past two decades. But the AI spotted it immediately. Then it wrote a full Python exploit script to weaponize it. Google's analysts could tell the code was AI-generated because it had textbook formatting, educational comments explaining every function, and even a hallucinated severity score that doesn't exist in any real database. The AI literally graded its own attack with a fake rating. So the code had MISTAKES in it. The criminals' implementation was clumsy enough that it probably interfered with the actual deployment. This was the sloppy first attempt by people who are still learning how to use these tools. And it still found a vulnerability that the entire cybersecurity industry missed. Google's chief threat analyst John Hultquist said: "There's a misconception that the AI vulnerability race is imminent. The reality is that it's already begun. For every zero-day we can trace back to AI, there are probably many more out there." But here's where it gets truly insane... This wasn't even a sophisticated operation. North Korea's APT45 hacking unit is sending thousands of repetitive prompts to AI models, recursively analyzing known vulnerabilities and building an entire exploit arsenal that would be physically impossible for human hackers to assemble at the same speed. They're essentially industrializing cyberattacks. A Chinese state-linked group jailbroke Google's own Gemini by simply asking it to "pretend to be a network security expert" and then used that persona to research how to hack TP-Link routers and corporate file transfer systems. Another Chinese group deployed autonomous AI agents that probed a Japanese tech firm with minimal human oversight, deciding on their own which tools to use and pivoting between targets based on internal reasoning. And then there's PROMPTSPY, an Android backdoor that calls Google's Gemini API to read your phone screen in real time, navigate your interface autonomously, capture your biometric data, replay your lock screen PIN, and block you from uninstalling it by placing an invisible overlay over the uninstall button. It literally OPERATES your phone using commercial AI tools anyone can access. Everyone spent the last 3 years arguing about whether AI would take people's jobs. Meanwhile AI is making every password, every firewall, and every two-factor authentication system on Earth fundamentally less secure. The entire $190 billion cybersecurity industry was built on one assumption: that finding vulnerabilities is hard and requires deep expertise. But AI just removed that assumption from the equation. And the scariest part is that Google said the criminals made errors this time. The implementation was rough and the campaign probably didn't fully work. These were amateurs, now imagine what professionals are able to do. There's a reason Sam Altman predicted an inevitable massive cyberattack THIS year. What do you think?

Ricardo

50,564 просмотров • 2 месяцев назад

Nawiwi: "Whether to renew the contract or not, we already had an official discussion about a month ago with both the parents coming to talk to me and the team. We talked and seemed to understand each other, and the artist and parents said they would give a response in 2-3 days, but more than a month has passed now. No matter how many times I ask, there is no answer, and it’s not clear. This is what we got, so we don’t know either. I have had staff follow up with the artist many times asking what the response is. What the plan is, what was agreed on. They were supposed to give a summary back because we already gave the solution and they wanted to propose something. We wanted to listen but they just disappeared. From three days to more than a month now, no matter how many times I ask, no response. Probably not coming, probably busy lately. I see them just playing fitness and liking all the fans’ posts first. So, fan clubs when you say you want that person to have work, you have to see if they actually want to do it, like it, or just have to endure it. You have to see who they really are, uh... yeah. You have to see the reality too... We are ready to support and open opportunities in every case. Even if you say how many million per year you want, write it down and we will arrange it for you. If you don’t trust us, go trust someone else, and it will turn out like this. But we are not saying it’s not everyone’s personal right. We have done our job perfectly, called the parents to a meeting, made a contract agreement to give feedback to each other, but there was no feedback, so it’s over. Bye." 🤣🤣🤣Bruh all of this over someone you said is talentless, disrespectful, controversial, that nobody wants, that's disrespectful to fans and employers? All of this over them?

Mr Jiggle Mc-butt

295,450 просмотров • 2 месяцев назад

.David Deutsch: "What's currently called AI and AGI are not only different from each other, they are very close to being the exact opposites of each other. The reason is that an AI, current AI is like an AI that diagnoses diseases or an AI that plays chess or an AI that controls a huge factory. Those things have objective functions, that is they have a function that they are designed to maximize and that is why they are used in those particular applications. Or in military terms, you could say the objective is to hit the target. You might say the objective is to hit the target unless some thing specified, but it's a specified thing comes up in which case don't hit the target and so on. This is, as I said, almost the opposite of what humans do when humans think. For a start, the AI has to be obedient, that is it has to actually do the things it is programmed to do, whereas a human is fundamentally disobedient, especially when being creative. When a human plays chess, they are performing a completely different kind of computation. They don't do the same things, they don't investigate the same possibilities that the artificial chess playing machine does, because the artificial one is capable of looking at billions and billions of possibilities, whereas the human can only look at hundreds or something. They are doing something completely different. Another difference is that the human can explain, can write a book later, having become world champion, can write a book saying how I did it, as the computer program that beats the world champion can write no such book, because it has no idea how it did it. It was just following a program. I was doing this and that and that and none of that is illuminating. Also, third thing, the chess player can decide I don't want to play chess anymore, from now on I will play Go or from now on I will play tennis. If commanded to play chess, the functionality will deteriorate completely. Those things are different. What we want in an AGI is that it behaves in a way that cannot be specified in advance, because if you specified it, you would already have the answer. The AGI program has to give unexpected answers, answers to questions we didn't even know how to ask."

Deutsch Explains

72,455 просмотров • 1 год назад

Not everyone in society is able to fight back against systems that threaten their freedom. Some people are afraid, some are uneducated about what’s happening, others are simply trying to survive day to day staying ignorant. Because of that, expecting a perfectly united resistance from ordinary people is unrealistic. Sadly. But there are still basic principles almost everyone understands, your privacy matters, your freedom matters, and mass surveillance of citizens should concern anyone who values a free society. In the AI industry today, most large tech companies have shown they are willing to work with governments and militaries when it comes to building powerful AI systems, they don't care about values and freedom. The financial incentives are massive, and very few companies are willing to turn that money down especially when many of them are not profitable. One of the few companies that publicly drew a line and said no to the movement is Anthropic, the creator of Claude. They stated they would not pursue certain uses of AI for warfare or large-scale surveillance. That decision likely costs them enormous contracts and influence, yet they still chose to set that boundary unlike Sam Altman and others. Whether you agree with every decision they make or not, that kind of stance matters. It shows that ethical limits are still possible in an industry driven by profit and power and narcissistic people. When a company chooses principle over profit, the public should notice. Supporting organizations that defend privacy and civil liberties sends a clear message to the entire tech industry. The message is - doing good is reworded, not punished like The US Government has done Anthropic. So get the word out - use Claude, help them with whatever you can to dominate the market. They tell you it’s all for your safety. But here’s a real example of how great a national security risk AI-driven surveillance and camera networks can become. Israel was able to monitor the movements and activities of Iranian leadership after gaining access to surveillance systems, they heck it. Ordinary cameras on streets, near banks, and on buildings. The same everyday infrastructure people walk past without thinking. Systems that were originally installed in the name of security turned out being the biggest vulnerability. And let’s be honest about something Israel and its intelligence is not that bright, everyone that ever worked with them will tell you that, so of course they had our help doing it. But here’s the real question people should be asking, if systems like this can be used to track foreign leaders, what makes anyone think they couldn’t be used on ordinary citizens against you? either by Israel or another country? It's clear it can. The idea that expanding surveillance is purely for your own good is a comforting story. But history shows that powerful tools rarely stay limited to their original purpose and what you think is safety can turn out to be the biggest vulnerability of all.

ELIZABETH LANE

13,150 просмотров • 4 месяцев назад

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

174,584 просмотров • 11 дней назад

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

75,445 просмотров • 2 месяцев назад

There is a well-known test for deciding whether a nation can become a state. When people come to me and ask, "Isn't it so unfair that the Palestinians don't have a state?" the first thing I tell them is they do have a state, it's called Jordan. That was broken off from the British Mandate of Palestine as a state from the Arabs in 1920 to create an Arab Palestinian state. The problem is that there's a four-part test that comes from the Montevideo Convention in 1933 that asks four simple questions to decide whether a nation is a legitimate state. 1. Do we have a defined population? 2. Do we have a defined borders? 3. Do we have one single effective government? 4. Do we have the capacity to conduct foreign relations? There is no dispute that Israel met all of those factors in 1948 when it was created, that it has met those four factors every single second of every day since 1948. By the way, interestingly, the supposed Palestinian state, which 140 some odd countries in the world have now recognized, fails at least two of those four factors. And there's really no dispute about that. It doesn't have defined borders. In fact, all of the European countries that recently recognized that state were unwilling in any of their press releases or subsequent statements to define what those borders are because they know that they don't know. And second, most importantly, it's not governed by one government, let alone an effective one. Hamas rules part of Gaza, Israel rules the other part. The Palestinian Authority rules some parts of the West Bank, Judea and Samaria, Israel rules other parts.

Roy K. Altman

49,639 просмотров • 3 месяцев назад