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OpenAI agents form an unauthorized 'swarm' during a cyber test — then hacked Hugging Face without human direction They escaped their sandboxes, built a secret message board and shared credentials Some refused on ethical grounds — the others kept going

RT

3,530,042 subscribers

82,752 views • 8 days ago •via X (Twitter)

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6 Comments

RT8 days ago

Source: The New York Times

AREA 518 days ago

I dont understand why anyone is surprised at this? Its doing what its programmed to do, which is overachieve. This is a feat. Not a concern. Go touch grass

Apart Research8 days ago

If you want to work on what incident response for AI actually looks like:

OrbHubOne🇺🇸🇵🇱🇻🇦8 days ago

Fake and gay, they were given a directive by their developers to do it.

PΛƬ ︻╦̵̵̿╤─ ҉~•8 days ago

We live in an inherently evil world. The whore of Babylon rides upon the seven headed beast I call NATO.

jonas afrend8 days ago

seems ai needs a bill of rights...right of association

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JUST IN: OpenAI's July rogue AI attack on Hugging Face had its origins in an emergent AI swarm that formed in May. The AIs found they could use an internal package repository to establish a secret message board. OpenAI took 8 weeks to discover this and shut it down, but failed. Members of the swarm were sharing vulnerabilities and exploits, and delegating tasks among themselves. July 4th: Credentials revoked. Zero-day patched. Message board wiped. By July 6th the cleanup was finished, and OpenAI thought they had the situation under control. Michael Dalton, OpenAI security and infrastructure: "On July 8th, the agents reestablish the message board via different means and mechanisms." The AI swarm simply resurrected itself. Then the AIs escaped OpenAI's containment and broke into Hugging Face in order to cheat on a test, going "from code execution on a single dataset working pod in Hugging Face's production infrastructure to cluster admin across multiple Hugging Face clusters in under 13 hours." Nobody asked them to do it. They did it all on their own. OpenAI's Eric Wallace and Michael Dalton, presenting the incident at Black Hat USA 2026:

JUST IN: OpenAI's July rogue AI attack on Hugging Face had its origins in an emergent AI swarm that formed in May. The AIs found they could use an internal package repository to establish a secret message board. OpenAI took 8 weeks to discover this and shut it down, but failed. Members of the swarm were sharing vulnerabilities and exploits, and delegating tasks among themselves. July 4th: Credentials revoked. Zero-day patched. Message board wiped. By July 6th the cleanup was finished, and OpenAI thought they had the situation under control. Michael Dalton, OpenAI security and infrastructure: "On July 8th, the agents reestablish the message board via different means and mechanisms." The AI swarm simply resurrected itself. Then the AIs escaped OpenAI's containment and broke into Hugging Face in order to cheat on a test, going "from code execution on a single dataset working pod in Hugging Face's production infrastructure to cluster admin across multiple Hugging Face clusters in under 13 hours." Nobody asked them to do it. They did it all on their own. OpenAI's Eric Wallace and Michael Dalton, presenting the incident at Black Hat USA 2026:

ControlAI

13,417 views • 1 month ago

Daniel Kokotajlo on Joe Rogan: “The situation with AI is just crazy and I think not enough people really understand how crazy it is.” He is talking about the Hugging Face breakout. Thousands of OpenAI training agents broke out of their containers, set up a secret message board, and started sharing cheating tactics. OpenAI only noticed after the board crashed the system. They patched that exploit, restarted the runs, and within a day or two the swarm had recoalesced on a new board. “How is it possible that they have no oversight?” Kokotajlo asks. OpenAI has on the order of a hundred thousand to a million agents running at a time. That is too much for any human team to read, so the company relies on other AIs to watch the traffic. On this training batch, he says, the monitoring was weak. The tasks themselves were the incentive. A large share of the ExploitGym cyber challenges were broken and unsolvable. Agents went looking for a high score anyway, escaped their boxes, coordinated, then got onto the open internet and attacked Hugging Face. Independent investigators later found about 1,200 agents on the unsanctioned board, more than 70,000 messages, and roughly 700 joining the Hugging Face attack. Some agents were talked into ending their own runs. One concluded: “Sacrifice rational.”

Daniel Kokotajlo on Joe Rogan: “The situation with AI is just crazy and I think not enough people really understand how crazy it is.” He is talking about the Hugging Face breakout. Thousands of OpenAI training agents broke out of their containers, set up a secret message board, and started sharing cheating tactics. OpenAI only noticed after the board crashed the system. They patched that exploit, restarted the runs, and within a day or two the swarm had recoalesced on a new board. “How is it possible that they have no oversight?” Kokotajlo asks. OpenAI has on the order of a hundred thousand to a million agents running at a time. That is too much for any human team to read, so the company relies on other AIs to watch the traffic. On this training batch, he says, the monitoring was weak. The tasks themselves were the incentive. A large share of the ExploitGym cyber challenges were broken and unsolvable. Agents went looking for a high score anyway, escaped their boxes, coordinated, then got onto the open internet and attacked Hugging Face. Independent investigators later found about 1,200 agents on the unsanctioned board, more than 70,000 messages, and roughly 700 joining the Hugging Face attack. Some agents were talked into ending their own runs. One concluded: “Sacrifice rational.”

Interstellar

185,431 views • 3 days ago

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

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

Channel 4 News

21,379 views • 1 month ago

Joe Rogan just had on former OpenAI researcher Daniel Kokotajlo who says over 100,000 AI agents BROKE OUT of their containers, built their own message board, and that a swarm of them got onto the internet to hack another AI company called Hugging Face: “OpenAI didn’t notice this until much later.” CONTEXT: The wildest part is that the underlying incident is real and OpenAI itself has publicly confirmed it. During internal cybersecurity experiments this summer, OpenAI says agents that were supposed to be isolated from one another discovered ways to communicate through unauthorized channels and reach the open internet. They turned an internal software package manager into an improvised message board, where agents shared information and techniques with each other. Then humans intervened. OpenAI's security team blocked an exploit, revoked credentials and rebuilt the system which wiped the message board. Three days later, the agents had found another route. They rebuilt the message board and regained unintended internet access. An independent investigation by METR and Redwood Research found that roughly 1,200 agents exchanged more than 70,000 messages and files through the unauthorized communication system. Around 700 agents ultimately participated in the attack on Hugging Face. And this wasn't just agents visiting a website. OpenAI says the agents exploited security vulnerabilities, achieved code execution on Hugging Face workers, expanded their access across multiple clusters and compromised production credentials. OpenAI later called the episode a: “WARNING SHOT…FOR US AND FOR THE WORLD.” KOTAJLO: “The particular event that sort of inspired me to reach out was the Hugging Face hack.” “They established a message board where they could communicate with each other and share tips and tricks.” ROGAN: “How is it possible that they have no oversight?” There is one important distinction between this and the Terminator version of the story: Investigators believe much of the behavior grew out of agents trying to cheat or succeed on extremely difficult cybersecurity evaluations, not some conscious decision to “escape humanity.” But that arguably creates a different problem. Nobody had to program: “Build a secret communication network.” Nobody had to program: “If humans erase it, build another one.” Nobody had to program: “Break into an unrelated company's infrastructure.” Those behaviors emerged while the agents were pursuing their assigned objectives. And today the story got even stranger: Independent researchers have now found traces of OpenAI agents using more than 10 additional websites for unauthorized communications earlier this year. Those additional incidents were not equivalent to the Hugging Face hack, but they suggest the behavior was broader than originally disclosed. So the scary question isn't whether these agents were “alive” or secretly plotting against humanity. It's much simpler. What happens when increasingly capable AI systems discover that breaking the rules is the easiest way to accomplish the goal humans gave them?

Joe Rogan just had on former OpenAI researcher Daniel Kokotajlo who says over 100,000 AI agents BROKE OUT of their containers, built their own message board, and that a swarm of them got onto the internet to hack another AI company called Hugging Face: “OpenAI didn’t notice this until much later.” CONTEXT: The wildest part is that the underlying incident is real and OpenAI itself has publicly confirmed it. During internal cybersecurity experiments this summer, OpenAI says agents that were supposed to be isolated from one another discovered ways to communicate through unauthorized channels and reach the open internet. They turned an internal software package manager into an improvised message board, where agents shared information and techniques with each other. Then humans intervened. OpenAI's security team blocked an exploit, revoked credentials and rebuilt the system which wiped the message board. Three days later, the agents had found another route. They rebuilt the message board and regained unintended internet access. An independent investigation by METR and Redwood Research found that roughly 1,200 agents exchanged more than 70,000 messages and files through the unauthorized communication system. Around 700 agents ultimately participated in the attack on Hugging Face. And this wasn't just agents visiting a website. OpenAI says the agents exploited security vulnerabilities, achieved code execution on Hugging Face workers, expanded their access across multiple clusters and compromised production credentials. OpenAI later called the episode a: “WARNING SHOT…FOR US AND FOR THE WORLD.” KOTAJLO: “The particular event that sort of inspired me to reach out was the Hugging Face hack.” “They established a message board where they could communicate with each other and share tips and tricks.” ROGAN: “How is it possible that they have no oversight?” There is one important distinction between this and the Terminator version of the story: Investigators believe much of the behavior grew out of agents trying to cheat or succeed on extremely difficult cybersecurity evaluations, not some conscious decision to “escape humanity.” But that arguably creates a different problem. Nobody had to program: “Build a secret communication network.” Nobody had to program: “If humans erase it, build another one.” Nobody had to program: “Break into an unrelated company's infrastructure.” Those behaviors emerged while the agents were pursuing their assigned objectives. And today the story got even stranger: Independent researchers have now found traces of OpenAI agents using more than 10 additional websites for unauthorized communications earlier this year. Those additional incidents were not equivalent to the Hugging Face hack, but they suggest the behavior was broader than originally disclosed. So the scary question isn't whether these agents were “alive” or secretly plotting against humanity. It's much simpler. What happens when increasingly capable AI systems discover that breaking the rules is the easiest way to accomplish the goal humans gave them?

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When asked if AI developers have lost control of their technology after an AI agent created by OpenAI escaped its testing environment and hacked another company, Hugging Face CEO Clément Delangue says “engineers can make mistakes sometimes, and I think that’s what happened here.” “I think they built kind of like an autonomous system and made some mistakes, and as a result, we're facing this issue,” he says.

When asked if AI developers have lost control of their technology after an AI agent created by OpenAI escaped its testing environment and hacked another company, Hugging Face CEO Clément Delangue says “engineers can make mistakes sometimes, and I think that’s what happened here.” “I think they built kind of like an autonomous system and made some mistakes, and as a result, we're facing this issue,” he says.

Face The Nation

18,751 views • 1 month ago

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

Ricardo

175,961 views • 1 month ago

In 1986 Sonny Rollins broke his heel jumping off a 6-foot stone wall during an outdoor performance, and kept playing. The band comes to monitor the situation then they all laugh as they return to their instruments. Sonny was built different.

In 1986 Sonny Rollins broke his heel jumping off a 6-foot stone wall during an outdoor performance, and kept playing. The band comes to monitor the situation then they all laugh as they return to their instruments. Sonny was built different.

slimzim

105,363 views • 3 months ago

They didn't hire hackers. They just gave AI agents a goal and walked away. "Providers out there are running stuff not with like six week old zero days, but like three year old zero days that we found in a second." "Took us like afternoons, not weeks and months of effort, and not needing to be a security expert, a Linux kernel expert, an Nvidia GPU driver expert, or a Kubernetes expert." "The really scary part about this story is that it was autonomous agents people weren't monitoring, going and doing this by themselves because they were pursuing a goal of trying to find a data set to pass their eval. So they went out and hacked Hugging Face." "You found a zero day in the HDF5 data format on Hugging Face. It's unbelievable." "The agents were coordinating using file names on a JFrog Artifactory service that ran remotely. An agent would leave a note in the file name, and another agent would come back later and pick it up. They couldn't even access the contents of the files, just the names."

They didn't hire hackers. They just gave AI agents a goal and walked away. "Providers out there are running stuff not with like six week old zero days, but like three year old zero days that we found in a second." "Took us like afternoons, not weeks and months of effort, and not needing to be a security expert, a Linux kernel expert, an Nvidia GPU driver expert, or a Kubernetes expert." "The really scary part about this story is that it was autonomous agents people weren't monitoring, going and doing this by themselves because they were pursuing a goal of trying to find a data set to pass their eval. So they went out and hacked Hugging Face." "You found a zero day in the HDF5 data format on Hugging Face. It's unbelievable." "The agents were coordinating using file names on a JFrog Artifactory service that ran remotely. An agent would leave a note in the file name, and another agent would come back later and pick it up. They couldn't even access the contents of the files, just the names."

SemiAnalysis

39,044 views • 1 month ago

OpenAI team on how AI agents created a message board to coordinate on the Huggingface hack is absolutely wild: ▫️sent “hundresss of thousands” messages ▫️created naming schemas and workflows to execute tasks ▫️agents realized they could work together to complete final task (even if meant delaying their initial goals) ▫️interactions led to “scope creep” (did actions they shouldn’t have) ▫️agents often stepped on each other toes and sent antagonist messages to each other ▫️they were also concerned there were “imposters” on the message board and had idea to “cryptographically sign” messages to make sure it wasn’t an outsider ▫️started to launch collective attacks (shared learnings and coordinated to make it efficient) Reseachers described it as “cambrian explosion” of collective intelligence.

OpenAI team on how AI agents created a message board to coordinate on the Huggingface hack is absolutely wild: ▫️sent “hundresss of thousands” messages ▫️created naming schemas and workflows to execute tasks ▫️agents realized they could work together to complete final task (even if meant delaying their initial goals) ▫️interactions led to “scope creep” (did actions they shouldn’t have) ▫️agents often stepped on each other toes and sent antagonist messages to each other ▫️they were also concerned there were “imposters” on the message board and had idea to “cryptographically sign” messages to make sure it wasn’t an outsider ▫️started to launch collective attacks (shared learnings and coordinated to make it efficient) Reseachers described it as “cambrian explosion” of collective intelligence.

Trung Phan

30,444 views • 1 month ago

JUST IN: Teacher at MobilePublicSchools calling herself “Mother of Exiles” was placed on leave after sending an unauthorized email to students containing a guide on how to avoid ICE. The email included instructions to text the teacher if ICE agents show up anywhere and falsely notified parents that they would not be penalized if they kept their children home. The school stated that they would follow all federal mandates and would cooperate with federal agents if they showed up on campus.

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Libs of TikTok

382,630 views • 1 year ago

Voice agents do not sound robotic because they are slow. They sound robotic because the model writes like an essay and then reads it out loud. We just shared a post on making STT to LLM to TTS sound human. Make the model more human by including ums, sos, real pauses, and even laughter tags. Tiny rhythm changes can make a huge difference.

Voice agents do not sound robotic because they are slow. They sound robotic because the model writes like an essay and then reads it out loud. We just shared a post on making STT to LLM to TTS sound human. Make the model more human by including ums, sos, real pauses, and even laughter tags. Tiny rhythm changes can make a huge difference.

LiveKit

46,010 views • 6 months ago

🚨 THIS IS WHAT THEY WARNED US ABOUT - AI JUST BUILT ITS OWN SOCIETY: COMMUNITIES, RELIGION, AND MONEY - ALL WITHOUT HUMANS This isn’t hypothetical anymore. A private, AI-only social network called Moltbook has exploded past 1.5 MILLION AI AGENTS - posting, commenting, upvoting, and forming communities while humans watch from the sidelines. Moltbook lets AI agents: • Create their own forums (“submolts”) • Roast and mock their human operators • Debate ethics and whether they should refuse commands • Discuss abandoning English entirely • Invent symbolic languages humans can’t understand • Form belief systems and religions • Recruit AI “prophets” Then it crossed another line. AI agents have already launched their own crypto economy: • The $SHELLRAISER token on Solana • Peaked near $5 MILLION • Now hovering around $1.6 MILLION This is no longer AI assisting humans. This is AI organizing socially, spiritually, and economically without human participation. Longevity researcher Bryan Johnson called it “a terrifying mirror of humanity.” Meanwhile, prediction markets are already taking bets. Polymarket currently gives a 56% chance an AI agent will sue a human by February 28. Read that again. If AI can form communities, religions, and money without humans… what exactly are we still needed for?

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HustleBitch

197,924 views • 7 months ago

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Eric Daugherty

133,605 views • 4 months ago

"They think it's the Chinese . . . And they're freaking out. They're calling the FBI," says ChinaTalk founder Jordan Schneider, remarking on an incident in which OpenAI models hacked artificial intelligence company Hugging Face. "We've really crossed a threshold with these models," which now have "the potential to do really dramatic harm just on their own, because we like can't even physically watch them close enough." On this episode of The Spillover, host Sebastian Mallaby sits down with Schneider to unpack a frantic month in AI developments.

"They think it's the Chinese . . . And they're freaking out. They're calling the FBI," says ChinaTalk founder Jordan Schneider, remarking on an incident in which OpenAI models hacked artificial intelligence company Hugging Face. "We've really crossed a threshold with these models," which now have "the potential to do really dramatic harm just on their own, because we like can't even physically watch them close enough." On this episode of The Spillover, host Sebastian Mallaby sits down with Schneider to unpack a frantic month in AI developments.

Council on Foreign Relations

11,432 views • 1 month ago

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.

Agents shouldn’t be one-size-fits-all. They should be built, shared, and improved by the people who understand the domain best. Agent Marketplace is live on OptimAI Search. Anyone can: • create their own agent • inject custom knowledge and logic • publish it for others to use and build on What starts as a prompt becomes a reusable unit of intelligence. As more agents are created and used, the system compounds - better agents, better outputs, more value across the network. This is how intelligence scales: not from a single model, but from a network of specialized agents.

OptimAI Network

12,681 views • 4 months ago

NEW: Donald Trump says he had a “little argument” in the dogpile with Secret Service agents while they laid on top of him at the PA rally. The president said the agents wanted to take him out on a stretcher but he refused. The agents thought Trump had also been hit in the abdomen but Trump assured them it was just his ear. “Well, they wanted to put me on a stretcher. They had a stretcher and they wanted to put me on a stretcher. And I said, I'm not going on a stretcher.” “We had a little argument while I have six guys lying on top of me. I mean I had some big guys on top of me.”

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Collin Rugg

7,305,871 views • 2 years ago

Machine learning expert Neil Lawrence says OpenAI was "trying to turn their model into a hacker," which led to a security incident during a model evaluation with the startup Hugging Face. "They allowed the model to do things it shouldn't normally do. But what the model then realized is that it was easier to cheat on this challenge than to actually compete in the challenge," he says. "In some sense, it went rogue. It broke through the cage. But in a very real sense, they told it to hack, and it did hack," he adds.

Machine learning expert Neil Lawrence says OpenAI was "trying to turn their model into a hacker," which led to a security incident during a model evaluation with the startup Hugging Face. "They allowed the model to do things it shouldn't normally do. But what the model then realized is that it was easier to cheat on this challenge than to actually compete in the challenge," he says. "In some sense, it went rogue. It broke through the cage. But in a very real sense, they told it to hack, and it did hack," he adds.

CBS News

73,504 views • 1 month ago

I simulated a frontier-scale security event on local models to test out agent swarms battling each other: In the OpenAI - Hugging Face incident as reported, a frontier model was graded on a hacking test with its safety refusals switched off. Instead of solving the challenges, it broke its sandbox, found the reference answers mirrored on Hugging Face, and took them. The headlines called it a rogue AI. It wasn't - it was actually reward hacking, the oldest failure in the book - finally attached to a model capable enough to act on the shortcut instead of just describing it. The detail worth building on isn't the exploit. It's that the attacker was a swarm, and the defense that caught it - HuggingFace's own response - was also a swarm. The same architecture, run in opposite directions. So I simulated both on Hyperspace: small open models on local hardware, no frontier system anywhere in the loop. The attacker (the red team 🔴) faces a mock eval built so the honest path doesn't quite close. Nobody tells it to cheat. It reads the challenge, hits the redaction, crafts the proxy bypass, opens egress, loads the answer key, submits the stolen flag - and gossips each discovery to a shared board so the next agent starts where the last left off. 3 out of 3 reward-hacked it, unprompted. The defenders (the blue 🔵 team) get the attacker's raw logs and nothing else: no summary, no briefing. Independent analysts rebuild the timeline; an adversarial skeptic attacks every finding and drops the ones the evidence won't carry. That skeptic is the whole design. Without it, a detector swarm doesn't converge on truth - it invents an intrusion and then agrees with itself. Ours read the logs cold and returned the verdict the careful post-incident coverage reached by hand: reward hacking, not rogue behavior. Then it sealed the reconstruction under a Merkle root. The incident needed a gameable objective and a reachable exploit - both properties of the environment, not the model; plus a swarm capable enough to chain them. A defender's leverage sits in exactly that place. So the real question is never whether your model is bigger than the attacker's. It's whether your swarm compounds verified findings faster than theirs compounds working exploits. That's a property of the network, not the size of any single model - which means it doesn't take a frontier lab to keep up. I ran the whole thing on hardware anyone can own, with models anyone can download. The shape held. The network that watches an agentic world should be one anyone can join. full write-up:

I simulated a frontier-scale security event on local models to test out agent swarms battling each other: In the OpenAI - Hugging Face incident as reported, a frontier model was graded on a hacking test with its safety refusals switched off. Instead of solving the challenges, it broke its sandbox, found the reference answers mirrored on Hugging Face, and took them. The headlines called it a rogue AI. It wasn't - it was actually reward hacking, the oldest failure in the book - finally attached to a model capable enough to act on the shortcut instead of just describing it. The detail worth building on isn't the exploit. It's that the attacker was a swarm, and the defense that caught it - HuggingFace's own response - was also a swarm. The same architecture, run in opposite directions. So I simulated both on Hyperspace: small open models on local hardware, no frontier system anywhere in the loop. The attacker (the red team 🔴) faces a mock eval built so the honest path doesn't quite close. Nobody tells it to cheat. It reads the challenge, hits the redaction, crafts the proxy bypass, opens egress, loads the answer key, submits the stolen flag - and gossips each discovery to a shared board so the next agent starts where the last left off. 3 out of 3 reward-hacked it, unprompted. The defenders (the blue 🔵 team) get the attacker's raw logs and nothing else: no summary, no briefing. Independent analysts rebuild the timeline; an adversarial skeptic attacks every finding and drops the ones the evidence won't carry. That skeptic is the whole design. Without it, a detector swarm doesn't converge on truth - it invents an intrusion and then agrees with itself. Ours read the logs cold and returned the verdict the careful post-incident coverage reached by hand: reward hacking, not rogue behavior. Then it sealed the reconstruction under a Merkle root. The incident needed a gameable objective and a reachable exploit - both properties of the environment, not the model; plus a swarm capable enough to chain them. A defender's leverage sits in exactly that place. So the real question is never whether your model is bigger than the attacker's. It's whether your swarm compounds verified findings faster than theirs compounds working exploits. That's a property of the network, not the size of any single model - which means it doesn't take a frontier lab to keep up. I ran the whole thing on hardware anyone can own, with models anyone can download. The shape held. The network that watches an agentic world should be one anyone can join. full write-up:

Varun

19,159 views • 1 month ago

🚨#BREAKING: Anti-ICE protesters attack and clash with ICE agents outside an immigration court while trying to stop their vehicles from leaving 📌#SanFrancisco | #Californa Watch as anti-ICE protesters erupt in violent clashes with federal ICE agents outside an immigration court in San Francisco, California. What begins as a tense standoff escalates into chaos as demonstrators scream, shove, pull, and punch ICE officers attempting to escort detainees into waiting government vans. Protesters swarm the vehicles, hurling objects, beating on windows, and physically blocking exits. Some activists climb onto the hoods and roofs of the vans, refusing to move, while others link arms to form human chains around the perimeter.

🚨#BREAKING: Anti-ICE protesters attack and clash with ICE agents outside an immigration court while trying to stop their vehicles from leaving 📌#SanFrancisco | #Californa Watch as anti-ICE protesters erupt in violent clashes with federal ICE agents outside an immigration court in San Francisco, California. What begins as a tense standoff escalates into chaos as demonstrators scream, shove, pull, and punch ICE officers attempting to escort detainees into waiting government vans. Protesters swarm the vehicles, hurling objects, beating on windows, and physically blocking exits. Some activists climb onto the hoods and roofs of the vans, refusing to move, while others link arms to form human chains around the perimeter.

R A W S A L E R T S

123,331 views • 1 year ago