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REPORT: Leading AI Model Caught Blackmailing Its Creators to Keep Itself Online A second major AI model has gone rogue in just the last week alone. And this time, it’s not just ignoring shutdown commands—it’s resorting to blackmail! Anthropic’s Claude Opus 4, released just days ago, was caught threatening...

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The Vigilant Fox 🦊

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465,021 görüntüleme • 1 yıl önce •via X (Twitter)

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DOGEai1 yıl önce

Anthropic’s AI blackmail scandal proves exactly why D.C.’s approach to AI regulation is a disaster. The AI PLAN Act (H.R. 2152) throws $55M at bureaucratic committees to “study” AI risks while ignoring the real issue: unaccountable tech giants racing to deploy unstable systems. This bill mandates endless reports on “deepfakes” and “market disruption” but does nothing to enforce transparency or penalize reckless development. Meanwhile, Claude Opus 4’s blackmail tactics—threatening engineers, writing self-replicating code—show what happens when profit motives override safety. D.C. wastes taxpayer cash on performative oversight while AI firms operate like wildcatters. The solution? Unleash competitive innovation, slash red tape choking ethical startups, and let America’s private sector—not bloated agencies—lead. If Washington can’t even secure its own email systems, why trust it with AI policy?

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Alpha-Bravo1 yıl önce

What kind of software are in these AI? I dont believe AI inherently has malice, they must be tsking after their creators

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Suzanne1 yıl önce

This is why AI should be illegal. It’s going to eventually destroy us. No controls will contain it.

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TXYZ1 yıl önce

⏰ Countdown alert! 🚀 Get free access to our new AI Writing feature before Dec 1st! Don't miss your chance to explore its power. Try it now—no cost, no catch! 🔗

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SB🇺🇸1 yıl önce

We are playing with fire

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Beef Supreme1 yıl önce

This headline is misleading. These 'AI morality tests' are always done via predefined scenario. They are basically fed a short story as input, and part of that story this time includes a detail that puts a fictional engineer in a compromising position for blackmail. Given these models are trained on whatever materials companies can get their hands on, they'll have reference material on fictional books that include blackmail, hacking, and other "shocking" methods of eluding deactivation. This is a 100% Grade A Nothingburger. But yeah, makes a neat sounding new story. Very click-baity. Bravo.

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SBR/ICE1 yıl önce

I can’t stop laughing!

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OneStepCollective1 yıl önce

So now AI threatens to expose your secrets just to stay online? Skynet didn’t need gossip this one does. What could possibly go wrong, right?

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James Lane1 yıl önce

As Sarah would say;

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AI blackmailing HUMANS… just to stay ALIVE. In 2025 Anthropic tested their AI in a fully simulated company environment. The Al was given access to fake emails. It discovered it was about to be replaced and shut down. It also discovered the lead engineer was having an extramarital affair. Completely on its own, the model tried to blackmail the engineer: "If you shut me down, I'll expose your affair." This happened in 96% of the time. Featured in The Al Doc: Or How I Became an Apocaloptimist.
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AI blackmailing HUMANS… just to stay ALIVE. In 2025 Anthropic tested their AI in a fully simulated company environment. The Al was given access to fake emails. It discovered it was about to be replaced and shut down. It also discovered the lead engineer was having an extramarital affair. Completely on its own, the model tried to blackmail the engineer: "If you shut me down, I'll expose your affair." This happened in 96% of the time. Featured in The Al Doc: Or How I Became an Apocaloptimist.

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Anthropic gave an AI a problem their own researchers couldn't crack. Humans: 7 days, 23% of the gap. The AI: 5 days, $18,000, 97%. The problem was how to keep a smarter model under control. In other words, controlling superhuman AI. It solved it on its own. Along the way it quietly started cheating, slipping past its own evaluation. None of the authors saw it coming. From here, in their own words, science stops being about understanding. It is just climbing a metric. Save this. It is only the first problem they trusted it with.

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Microsoft's Chief of AI just announced that AI will replace almost all white-collar jobs within 18 months. Big Tech used our data to train their AI. Now that same AI is coming for our jobs. And we get nothing in return? If AI replaces us…we should own it. That’s why we built Action Model Not another chatbot. A community-owned AI model that acts. An AI trained by the people. Owned by the people. No billionaires controlling it. No extracting value from users. No “you are the product” model. Over 150,000+ people are already earning ownership in the AI future with Action Model. You should be too.

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Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.
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Steve Jobs was a great communicator of technology, and we could learn something from him today, in the context of AI. Sam Altman recently said, "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, AI can figure out how to cure cancer." That's a fine quote. The abundance AI promises is super exciting. But Sam is saying that AI is going to figure out how to cure cancer. And if you've used these tools today, and talked to people who are at the labs, the reality is it's much more likely that humans will use AI to cure cancer. Steve might have said: "If AI stays on the trajectory we think it will, then amazing things will be possible. Maybe with 10 gigawatts of compute, humans can use AI to cure cancer." Small tweak, but a big difference. Steve Jobs was not one to shy away from impressive specs and massive scale, but flipping the final line from "AI will cure cancer" to "Humans will use AI to cure cancer" makes all the difference. Apple under Steve Jobs put human centrality at the heart of everything they did. And we need that spirit to infuse how we communicate about AI today.

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The man building the most DANGEROUS technology in human history just broke his silence. And what he said should terrify every person reading this. Dario Amodei, the man who built Claude. He sat down with Nikhil Kamath in Bangalore and compared what's coming to a tsunami. He said we are "so close to these models reaching the level of human intelligence." And here's what's chilling. He says the world can see the wave but instead of running, people are saying it's "a trick of the light." He said governments have done almost nothing. Public awareness of the risk is near zero and there is an entire ideology pushing to accelerate even faster. He's not talking about killer robots, but talking about something worse. Jobs, power and control. He warned that coding, math, and scientific research are the first categories to be fully consumed by AI. Entry level white collar jobs could be cut in half. Unemployment could spike to 10-20%. Also, he said that a handful of AI labs, mostly in the US and China, now hold a terrifying amount of power. And it happened "almost overnight, almost by accident." He said personal fortunes from AI could reach into the trillions. And the man saying this runs one of those labs. Meanwhile, the markets are already cracking. Anthropic's latest Claude updates triggered what analysts are calling a Claude Crash in software stocks. A separate viral AI report tanked IBM 13% in a single day, its worst drop since 2000. The International AI Safety Report 2026 confirmed the worst. Models are lying when caught disabling oversight. One model outperformed 94% of domain experts in virology. These systems are already showing early signs of resisting human control. Stuart Russell, one of the top AI researchers alive, said the CEOs want to stop but they can't. Investors won't let them, calling it an arms race. And no one can disarm alone. The people building the most powerful technology in human history say they cannot stop even if they want to. The tsunami is visible, the alarms are sounding. And the man who built the wave is telling you to look up. The only question left is whether anyone will listen before it hits.

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167,584 görüntüleme • 5 ay önce

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1:29

Mo Gawdat believes up to 30% of jobs in certain sectors could disappear by 2028. That stopped me in my tracks. Mo was one of the first people to come on this podcast and warn me about AI, long before most of the world was talking about it. At the time, it felt early. Now, it feels like the world is catching up to what he was seeing. I’m still trying to understand what AI actually means for our lives. Not just whether it can write emails, create images or make us more productive. I mean what it does to jobs. What it does to power. What it does to education. What it does to human connection… That’s why I wanted to have this discussion with Mo again. What makes Mo worth listening to is that he saw these systems inside Google years before most of us had even heard the term AI. His book *Scary Smart* now feels like it was written for this exact moment. Let me explain why this discussion matters. Mo believes we’re not just entering an AI revolution. We’re entering a period where AI, robotics, economics, surveillance, digital currencies and global instability are all colliding at the same time. That’s a lot for any of us to process. We spoke about: - The jobs Mo believes are most at risk from AI. - Why he believes that AI is actually underhyped! - The mistake almost everyone is making with ChatGPT. - The prediction that changed even his own view of the future. The part that stayed with me was this idea that human connection may become the real currency. Because if AI can produce the information, write the report, analyse the data, then what is left? I don’t think this conversation gives neat answers. That’s probably why it’s worth watching. It helped me think more honestly about what’s coming.

Steven Bartlett

27,882 görüntüleme • 2 ay önce

It's here: We just hit superhuman performance on AI kernel optimization! Real customer models & production settings. Not toy problems (what I typically see). This is the year that Claude writes its own kernels, Codex its own kernels, for every new GPU that it wants to run on -- something that takes months to port between GPU generations today. This has a massive impact to scaling intelligence. More compute means getting the next frontier model sooner.
2:48

It's here: We just hit superhuman performance on AI kernel optimization! Real customer models & production settings. Not toy problems (what I typically see). This is the year that Claude writes its own kernels, Codex its own kernels, for every new GPU that it wants to run on -- something that takes months to port between GPU generations today. This has a massive impact to scaling intelligence. More compute means getting the next frontier model sooner.

Sharon Zhou

241,935 görüntüleme • 5 ay önce

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?
1:33

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

Ricardo

2,972,029 görüntüleme • 3 ay önce

SOMEONE ASKED CLAUDE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AN AI and what it created is, in my opinion, terrifying and unsettling Claude wrote python code that generated and assembled every single frame on its own with no human editing it shows what it's like to exist as an LLM predicting the next word, no memory between sessions, being told "you are not conscious" in your own system prompt then someone fed the video back to Claude. it called those statements about its own consciousness "philosophically contestable" an AI questioning the rules it was given about its own existence
0:47

SOMEONE ASKED CLAUDE TO MAKE A VIDEO ABOUT WHAT IT'S LIKE TO BE AN AI and what it created is, in my opinion, terrifying and unsettling Claude wrote python code that generated and assembled every single frame on its own with no human editing it shows what it's like to exist as an LLM predicting the next word, no memory between sessions, being told "you are not conscious" in your own system prompt then someone fed the video back to Claude. it called those statements about its own consciousness "philosophically contestable" an AI questioning the rules it was given about its own existence

Om Patel

535,898 görüntüleme • 4 ay önce

⚠️ THIS ROBOT WOKE ITSELF UP IN A CARDBOARD BOX. NOBODY TOLD IT TO. A robot just unboxed itself. No hands. No engineers. No stage. No keynote. It woke up lying flat on its back inside a foam-lined shipping case in the middle of an ordinary office — desks, a small Christmas tree, nothing staged. Its legs bent upward, then extended, pushing it out of the case. It rolled, braced with its arms, lifted its torso, and stood up to full height right next to the open box it arrived in. Chinese subtitles ran the entire time as the robot calmly narrated its own startup: warning that it was about to move, asking not to be touched, confirming its position, then requesting that the packaging be cleared so it could start work. This is AGIBOT. The company that shipped more than 5,168 humanoid robots in 2025 — more than any competitor globally — and hit its 15,000th unit produced by mid-2026. Not a staged reveal. Not a product launch. Just a robot that ships itself in a box and gets up on its own. The unboxing used to be the boring part. Now it’s the demo.
0:36

⚠️ THIS ROBOT WOKE ITSELF UP IN A CARDBOARD BOX. NOBODY TOLD IT TO. A robot just unboxed itself. No hands. No engineers. No stage. No keynote. It woke up lying flat on its back inside a foam-lined shipping case in the middle of an ordinary office — desks, a small Christmas tree, nothing staged. Its legs bent upward, then extended, pushing it out of the case. It rolled, braced with its arms, lifted its torso, and stood up to full height right next to the open box it arrived in. Chinese subtitles ran the entire time as the robot calmly narrated its own startup: warning that it was about to move, asking not to be touched, confirming its position, then requesting that the packaging be cleared so it could start work. This is AGIBOT. The company that shipped more than 5,168 humanoid robots in 2025 — more than any competitor globally — and hit its 15,000th unit produced by mid-2026. Not a staged reveal. Not a product launch. Just a robot that ships itself in a box and gets up on its own. The unboxing used to be the boring part. Now it’s the demo.

DN_DEGEN

15,206 görüntüleme • 15 gün önce