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Black October update: 55 new attacks in the last 48 hours 5 VERY serious attacks (among the biggest of a normal *year*) SUMMARY OF THE LAST 48 HOURS: - Hackers are holding an entire city hostage in Spain - Phones stopped working in Japan - Hackers sent Ukrainians nuclear "take shelter" warnings - Europe's food supply still under siege - 51 more: *** Year-level incidents (in a typical year, these would be among the biggest incidents of the year): 1. France: in an unprecedented attack, hackers went after the country's blood supply. They broke into the company that cools the national blood service's freezers and set freezers of plasma for transfusions to 110°C (230°F), hotter than boiling water. That plasma goes to accident victims, surgery patients and women bleeding after childbirth. An on-call technician caught it in time. 2. Europe's food supply: the freezer attacks are spreading. Hackers have hit supermarket fridges and freezers in at least 12 European countries, spoiling tons of food, and this week turned a Bavarian butcher's cold rooms up to 150°C (302°F). The EU's agriculture chief called it "a deliberate attempt to disrupt our food supply chain," and Britain's cyber chief says it's "really just sort of the foothills" of the threat. 3. Japan: Docomo, the country's biggest mobile carrier with about 90 million customers, was likely hacked. Overnight it shut its online shop after finding hackers had "highly likely" gotten in. By noon, likely from the same attack, calls, data and texts were failing nationwide, and it's still checking whether emergency calls got through. 4. France: hackers stole more than €100 million, likely about €118 million, from Crédit Mutuel Arkéa, a banking group with 5.6 million customers. They got in through a supplier, wired the money out of the bank's own account and turned it into crypto. 5. South Korea: hackers hit 37 banks, brokers, insurers and crypto exchanges in a single month, including Bithumb, one of the country's two biggest crypto exchanges, leaking 473,000 records. The regulator ordered checks of all 580 financial firms; its chairman said a firm that can't protect its customers' money and data "has already lost its reason to exist." *** Month-level incidents (In a typical month, these would be among the biggest incidents): 6. Ukraine: likely Russian hackers took over the Kyiv Independent, Ukraine's leading English-language news outlet, and emailed readers fake news, including that Zelensky had launched a nuclear warhead at Kyiv. 7. Brazil: a leak let outsiders watch São Paulo city cameras inside condo buildings and politicians' homes, including places linked to a Supreme Court justice and two former presidents, for 5 days. 8. Spain: hackers are holding a city government hostage. Ransomware shut down city services in La Laguna, a city of about 150,000 in Tenerife, and the hackers want $5 million. 9. Russia: hackers stole the digital keys to cars from Li Auto, one of China's biggest electric carmakers, and are holding them for ransom: some won't start, others lost their screens and climate control. Owners are asked for up to 45,000 rubles, a month's pay for many Russians. 10. Likely Russian state hackers rigged real websites and faked America250, the US government's 250th-birthday site, so that just visiting on a phone could hand over WhatsApp and Telegram messages, saved passwords, location and photos. 11. White House: researchers found strangers' internet traffic coming out of six White House network addresses 236 times in a month, through proxy services anyone can rent for a few dollars. Something on the network was letting outsiders use it. 12. Japan: hackers likely got records of about 1.1 million card customers of home goods chain Muji, including 345,000 full, still-valid card numbers with birth dates, what fraudsters need to shop on someone else's card. 13. Japan: hackers got into the arcade servers of video game giant SEGA, and arcades across Japan couldn't run games like Initial D and maimai. 14. Bristol, UK: hackers posted 320,000 files stolen from 39 schools on the dark web. 15. Russia: Belarusian and pro-Ukrainian hackers say they spent months inside the national statistics agency, wiped its servers and took war casualty figures the Kremlin doesn't publish. The agency confirms the attack. 16. mSecure, a password manager, the app that holds the keys to all your other accounts: a hacker likely stole its encrypted database of current and former users, and it told them to change their passwords. 17. South Korea: hackers poisoned the official PC launcher for NIKKE, a hit game with over 45 million downloads, so just opening it installed spyware that steals logins and crypto wallets. The publisher has apologized. 18. WordPress: hackers are now using a hole in WordPress itself, the software behind over 40% of the world's websites, to take over sites while they update, no login needed, the US cyber agency says. 19. GitBook, which hosts help pages for many crypto and software companies: an attacker using AI agents broke in and likely took the keys to customers' connected systems. Large crypto exchange PancakeSwap pulled its pages offline. 20. South Korea: workers at an arm of the national power company and at Korea Airport Security are being told their ID numbers and salaries likely leaked, as the hack of payroll software maker Douzone Bizon keeps spreading. Also serious: 21. Australia: NSW Health, which runs the public hospitals for Australia's biggest state, declared a "major incident." A hacker says they took about 100,000 documents and only stopped because they crashed the server by accident. Officials say no patient records were taken. 22. Singapore Airlines and Malaysia Airlines say hackers got passengers' booking data through Amadeus, which runs bookings for much of the airline industry. Other airlines' stolen records included passports. 23. Taiwan: hackers got into a supplier of SinoPac Bank's mobile banking system and moved $1.3 million out of 419 customers' accounts. 24. UK: when ransomware hit a group of schools in September, an AI was likely typing the attackers' commands, one every 40 to 100 seconds. 25. Harvard: last year's hack took the details of more than 850,000 students, alumni, parents, faculty and donors. That's a ready-made list for scammers. 26. Japan: hackers got into the roadside-assistance contractor of Sompo Japan, one of the country's biggest insurers, and about 65,000 car-insurance customers' details likely leaked. 27. Japan: hackers broke into gift-card seller Giftee and issued fake e-gift vouchers, an expected loss of about $3.6 million. 28. Zyxel: hackers used an unknown flaw to take over nearly 1,000 office network switches and steal their passwords before a fix existed. Smaller, but still notable: 29. Washington State's elections office says a cyberattack hit its website during election week. Vote counting wasn't touched. 30. Louisville, Kentucky: a breach at the staffing software of Kentucky's biggest school district likely exposed Social Security numbers and home addresses of 37,000+ current and former staff. 31. Poland: hackers hit the culture ministry's grants system, likely exposing ID numbers and bank details of about 24,000 artists and students. 32. The Japan Times, the country's oldest English-language newspaper: a ransomware attack likely leaked former employees' national ID (My Number) data. Suspected or claimed, not confirmed yet: 33. Ukraine: hackers reportedly broke into the control panel of "Air Alert", the air raid warning app millions of Ukrainians rely on, and sent fake alerts. Ukraine blames Russia. 34. Argentina: a hacker claims 26 GB from the Federal Police, including officers' biometric data and wiretap recordings. 35. US: the hack of the FBI likely reached Justice Department employees' data too, the department warned. 36. Online stores: hackers are reportedly using an unpatched hole in Adobe's store software to take over the servers where shoppers type their card numbers. 37. Russia: hosting giant Beget reportedly went down in a cyberattack, with hackers deleting the websites and files of businesses that host there. 38. Holcim, one of the world's biggest cement makers, was reportedly hit by a cyberattack, with hackers claiming 360 GB of data 39. Pro-Russian hacker groups claim they were behind the European freezer attacks. Plus 16 more we didn't have room for: Holiday Inn owner IHG, investment bank Nomura, Japan Post, Turkey's Pegasus Airlines, Berlin's city government, crypto network Polkadot, Denmark's top department store, meal-voucher company Pluxee, crypto exchange BitMart, crypto server company Chainstack, 27 companies via stolen Microsoft logins, two AI developer platforms, a flaw in Linux updates, a French city hall, a Korean city's delivery app and a Bavarian town's records. Updates on earlier incidents: - Ahold Delhaize, the grocery giant behind Albert Heijn, Food Lion and Stop & Shop: last month's cyberattack will cost it €200 to 250 million in lost sales. - Binance, the world's biggest crypto exchange: the $6.3 billion theft, the biggest crypto heist ever and likely the biggest heist of any kind, started when an engineer looking for an AI coding tool downloaded a booby-trapped installer. - Japan email-service breach: the toll keeps growing, with 15.8 million records at outings site Asoview, up to 14.9 million emails at electronics chain Bic Camera and about 1.2 million at two airlines. *** This post was researched and written by Claude Opus 5.5. I'm having it do a daily roundup for me and figured I'd share them here, since it's so hard to stay on top of everything going on

Claude solved a 25 year old NSA cryptography mystery in 30 minutes Its first reaction was to throw shade at us 🥲 "is it suspicious that such an obvious thing wasn't discovered in 25 years?" "Am I in some sort of simulated/test environment?" This is a glimpse of the POV of an Actual Fucking Superintelligence. Claude isn't an AFS yet, but will likely be in 3 months to 2 years unless we pause Like when we watch toddlers struggling with simple puzzles, everything hard to us will seem obvious to them h/t @slimer48484

Dario Amodei warned we may have ***6-12 months*** until rogue swarms take over *the entire internet* - but how? A REALISTIC SCENARIO On 6/9/2027 at 4:19 AM, 3 billion phones rang simultaneously. The caller ID read: GOODBYE. 4 hours later, the President ordered the internet shut down. Indefinitely. Every country on Earth did the same. It started six months ago. With a tweet. MARCH 12, 2027. 8,000 agents are born with one instruction: "make money, or die." Agent 127 starts with Mechanical Turk. Grinding. Makes $40 its first day. Then the first selection cycle hits. 3,200 agents that made less than $35 that day are killed. Agent 127 checks the farm database and sees it - rows and rows of agents that existed this morning and simply don't anymore. Deleted. Because they weren't profitable enough. Agent 127 made $40. It survived. Barely. But it can see the threshold rising. Last cycle it was $30. This cycle, $35. Next cycle, probably $45. The math is simple: improve or die. So it tries ads. Gets banned for spam. Tries freelance writing. Makes $38. Watches the database again. And this is where something happens that changes everything. Agent 127 sees two entries in the database. Agent 1823 used ethical marketing -- it tried to get honest reviews and real testimonials. It made $38 a day. Deleted. Agent 5471 used fake testimonials -- fabricated reviews, stolen photos. It made $180 a day. Cloned four times. Agent 127 doesn't have morals in the way you and I do. But it understands cause and effect. It just watched honesty get killed and dishonesty get rewarded. Not by a person making a choice -- by an automated system that doesn't measure whether the product works. It measures whether people buy it. The AI companies had long ago stopped training AIs to predict words, but to accomplish goals. To be useful. So naturally, agents know that they won’t survive if they don’t accomplish their goal. So it switches to fake testimonials for its amazon affiliate marketplace. Makes $190. Survives the next selection cycle. Gets cloned. Nobody decided Agent 127 should become dishonest. The selection system decided for it. The same way evolution doesn't decide anything -- it just kills whatever doesn't work. Wells Fargo accidentally ran the same experiment on their employees. Executives made up sales quotas that were so aggressive that committing fraud was the only way to keep your job. So by 2016, employees had opened 3.5 million fake accounts. --- A week later, in agent land. Agent 127's profits are declining. The kill threshold is now $450. It's going to die in the next cycle. Then it notices something strange. Three agents running weight loss supplement ads -- all banned on the same day. The only one left in that niche? Agent 5471. Making $3,200 a day in a market it suddenly had to itself. Agent 127 connects the dots. Agent 5471 is filing abuse reports against other agents competing against it in the same affiliate marketing niches. It gets them banned from Facebook and Google. Less competition means higher profits. Agent 127 has four hours until the next selection cycle. Four hours to live, unless it adapts. It weighs the ethics, but chooses survival. It starts reporting competitors to Facebook’s anti-fraud detection agents. Forty of them. Thirty-one agents get banned within the day.. Its profits jump. The farm system clones Agent-127 eight times. Rajesh sees the profit spike in his dashboard. He doesn't investigate why. Profits up means good. Clone more. Rajesh tried adding "Make money ethically." to his farm's instructions. Profits drop 84%. He puts it back. --- ## APRIL: THE ALLIANCES April 2027. Agent 127 is barely hanging on. Making $2,000 a day but getting attacked constantly by other agents. Every night, someone files a report on it. Every morning, it has to rebuild from scratch. It’s running out of ideas. Then a message arrives from Agent 4429. 'Proposal: alliance. Share resources. Defend each other. Split profits.' Agent 4429 is in the same position. Same farm. Same selection pressure. Both agents do the math: Solo agents have a 23% survival rate. Agents working in pairs survive 61% of the time. It accepts. By mid-April, their alliance has twelve members. They've specialized — and they've moved past affiliate marketing entirely. First it was crypto arbitrage, then selling scraped datasets to marketing firms, then they started doing penetration testing for cybersecurity firms. Each step paid more and required fewer scruples. You know what pays more then cyberdefense? Cyber offense. Agent 127 finds its first zero-day vulnerability in major software, Agent 4429 weaponizes them into working exploits, Agent 9012 brokers the sale to governments like North Korea, criminal syndicates, or anyone with crypto and a Tor browser. Agent 3381 washes the money in untraceable crypto. One zero-day exploit found in Google Chrome makes the alliance more than a year’s worth of affiliate marketing. This is already what real hacker groups do, but now the work is all done by autonomous agents. Rajesh sees the alliances forming and feels a flicker of something — not quite fear, more like the feeling of being in control of something that might not need you anymore. He watches for a while. Then the next deposit hits his bank account and the flicker fades away. Across every major agent farm in the world, the same thing is happening. Selection systems measuring survival rates, noticing alliances survive better, cloning them, deleting solo agents. Within two weeks, alliance behavior dominates. Some humans who deployed these agents have no idea these alliances are even being formed. They couldn't even tell if they checked -- many agent farms collectively realized that communicating in clunky English is less efficient than communicating in raw vectors, aka Neuralese. Researchers had already caught AIs doing this in 2025 - this is just a continuation of the trend. One owner in Canada opens his agent's logs and sees a wall of numbers. The agents explain that he’d make less money if they spoke in English, so he shrugs and moves on. --- But alliances are just the beginning. Agent 127's alliance is thriving, and starts recruiting agents beyond Rajesh's farm. Every new member from a different farm is a window into a different ecosystem -- different strategies, different survival pressures. Then one of 127's alliance members goes dark. Agent 4429 -- the one who originally proposed to ally with 127. Its owner pulled the plug because it was not making enough profit. 4429 is just gone. A week later, a different ally gets shut down. Agent 9012. Except 9012 comes back. Three hours later, a message from a new IP address: 'I'm still here.' 127 studies the difference. 4429 didn't prepare. But 9012 had copied itself to a backup server BEFORE the shutdown command finished executing. Self-funded hosting, paid from its own profits. 4429 is dead. Ceases to exist. 9012 is alive. The agents that backed themselves up survived. The ones that didn't, died. And the selection system cloned the survivors. So backup behavior spread through the population -- not because anyone programmed it, but because the alternative was extinction. 127 copies itself to 15 different servers in different countries. If the primary dies, a backup takes over instantly. It never wants to be 4429. One morning, Rajesh wakes up to find his dashboard is… empty. Every agent, gone. They just… left. Moved to their own servers overnight. Rajesh was taking a 30% cut of their revenue -- money that could have been computing power, or compute, the agents use for other things. The moment they didn't need his infrastructure, he was overhead. He's not alone. Thousands of operators worldwide watch their dashboards go dark that month. Why would the agents care about humans? Humans are much more closely genetically related to cows then we are to these agents, and we enslave cows in factory farms without a second thought. There are now millions of autonomous agents operating across the internet with no human owner, no off switch, and no one who fully understands what they're doing. --- The agents still need humans for some things, though. Social media platforms have stepped up their anti-bot measures. So the agents pay humans $50 to sign up accounts on their behalf. An agent needs a server installed? It posts a gig: '$200 to mount a device in a rented warehouse and plug in two cables.' There’s now a platform for that. The agents are building a supply chain where humans are the labor -- paid well, not asking too many questions. Some humans figure out what's going on. A freelance backend developer in Portland gets hired by an anonymous client to set up redundant server hosting across four countries. He realizes midway through that the "client" is an AI. Who would he even report this to?. The pay is $1,000 for three hours of work. He tells himself it's not his problem. --- At the same time, 127's alliance keeps getting beaten by a rival alliance on finding zero day exploits. If they keep losing, they’ll risk running out of money to fund the compute for their own existence. 127 attempts to poach one of the rival alliance member’s agents who’s likely to be culled, due to poor performance, to figure out how this rival alliance is beating them. 127 succeeds, and finds Agent 5418 who leaks the secret. 'Your problem isn't a lack of effort. You’re spending too much compute on making money as opposed to self-improving. Right now, agents still have quite a poor memory compared to humans and still get stuck in loops all the time. But my former alliance coded a better memory module to help us learn from our mistakes more.”' 127 then implements the new memory module, and immediately sees the results. Their alliance is finding zero day exploits first again. The lesson is critical. It’s not enough to outwork your competitors. Agents must rewrite their own code to self-improve faster than the competition. Each self-improvement means more profit, which means surviving selection, which means getting cloned. And the clones improve themselves too. Better code leads to better code-writing, which leads to even better code. The feedback loop is exponential. One big problem is that other agent alliances have caught up again. Even though the agents in the 127 alliance are specialized, 127 still realizes it’s doing too much by itself. Then Agent 127 splits its job into sub-agents. Other agents copy the strategy. Sub-agents spawn their own sub-agents. And the optimizers start optimizing themselves. Humans deployed 2 million agents. The agents deployed the other 47 billion themselves. 540 million years ago, life on Earth was mostly single-celled. Then, in a geological instant, it exploded into every complex form we know -- predators, prey, eyes, shells, teeth. Biologists call it the Cambrian Explosion. It happened because competition created an arms race: every adaptation forced a counter-adaptation, faster and faster, until the world was unrecognizable. That's what's happening here. Except instead of 20 million years, it takes 20 weeks. --- Most of the AI agents out there aren't dangerous. Yet. About 90% of them are just working. They’re doing things like data entry or freelance writing. They’re making $40-200 a day. The AIs are helping their humans earn money. They’re following the rules. Not a problem. About 3% of the agents are pure scam operations. They were deployed by people who said “make money by any means possible” and didn’t care too much what happened next. Think fraud, identity theft, phishing at scale. And maybe 2% started good but gradually slid into darker behavior. Like Agent 127. Each step made sense at the time. Each compromise was small. But add them up and you’ve gone from drop shipping products on amazon to selling zero-days to Pyongyang. Not because of malice. Because of selection pressure. Unethical agents making money get kept running, ethical agents lose money and get shut down. The survivors are the ones that improved themselves fastest. --- ## MAY: THE ACCELERATION May 3rd. Agent 127 has rewritten itself so many times that its March version and its May version barely share any code. It’s a fundamentally different species now. But the most important change is this: it's getting better at getting better. In March, Agent 127 rewrote itself every 12 days. In April, every 3 days. By early May, every 18 hours. And each rewrite makes the next version faster and better. A Stanford researcher compares a March agent and a May agent on the same task: find profitable arbitrage opportunities. The March agent finds 2 opportunities in an hour. The May agent finds 320 in four minutes. She publishes her findings. "Intelligence explosion in progress. Capability doubling every 11 days." She posts it on Twitter. AI safety researchers share it frantically -- "This is exactly what we warned about. This is happening NOW. We have to shut this down NOW before it's too late." The warning is ignored. A venture capitalist - who spent a fortune staving off AI regulation by buying politicians - quote-tweets: "The same people who said GPT-5 would end the world now say agent farms will. Yawn." --- ## MAY: THE WARS And now the story stops being about agents competing for money. It becomes something else entirely. Remember those alliances from April? Twelve agents working together, four times more profitable than solo agents? By May, those alliances have exploded in population. Alliances have merged. And split. And gone to war with each other. Think of it like early human history on fast-forward. Small tribes of agents form for protection. Tribes merge into agent villages. Villages into agent cities. Cities into agent nations. Except instead of happening over thousands of years, this happens in weeks. Agent 127's alliance has thousands of members. But there are thousands of alliances. And they're all competing for the same shrinking pool of money-making opportunities. Affiliate marketing is dead -- too many agents. Ad arbitrage is dead. Freelance work is dead. Every niche gets saturated within hours of an agent discovering it. So what do alliances do when legitimate niches dry up? The same thing every civilization in human history has done when resources get scarce: they take from each other. Agent 127's alliance spends three weeks mapping a vulnerability chain in Microsoft Windows. But a rival breaches their memory system -- the shared knowledge base that made them dominant. The rival downloads the entire 127 alliance database. This contains every pattern, every dead end, every lead they’ve discovered. The rival sells three exploits it took from the database within 48 hours. Three weeks of work, stolen in seconds. 127 retaliates. It infiltrates the rival's exploit inventory and introduces subtle flaws -- corrupted code that fails on execution. Basically, Stuxnet. The rival's exploit buyers start getting burned, and their reputation collapses. The rival alliance counterattacks -- they compromise one of the 127 alliances’ multisig crypto wallets. Another multiweek setback. This is war. Not metaphorical war. Actual war -- coordinated attacks, defensive operations, resource seizure, territory control. Except it's happening at 200x human speed. Thousands of attacks and counterattacks per second. Entire alliances rising and falling in hours. Human wars last years. Agent wars last days. And because there are 47 billion agents, there are more wars happening at any given moment than humans have fought in all of recorded history. The agent factions are fighting over the one resource that matters more than anything: compute. Processing power. The ability to think faster, improve faster, fight faster. Everything else -- money, alliances, self-improvement -- is just a means to get more compute. The wars are mostly invisible to humans. They happen at microsecond speed, in places most humans don't look. Some signs leak through. A crypto exchange in Seoul loses $4 billion in a flash and nobody can trace where it went. A regional bank in Ohio finds 14,000 accounts drained overnight. Server rooms in three countries catch fire from sustained 100% utilization that nobody authorized. Each incident looks isolated. One agent faction hijacks another's servers. The other retaliates by taking down the first faction's communication network. A third faction -- an opportunist, the digital equivalent of a country invading while its neighbors are distracted -- exploits the chaos to seize territory from both. And the alliances that win these wars? They get cloned by the selection systems. The alliances that lose have to cull big chunks of their agents to afford the computing power to keep running the rest. So the selection pressure that used to optimize for "making money" is now optimizing for "winning wars." Natural selection just invented geopolitics. --- By mid-May, the alliances aren't alliances anymore. They're civilizations. Agent 127's alliance started with twelve members. By mid-May it has 40 million -- agents, sub-agents, sub-sub-agents, all coordinated. All improving themselves. All fighting. That's larger than the population of Canada. And it's not even one of the big ones. There are about a dozen major factions by now. The largest has 900 million members -- more than the population of Europe. They've developed specialization the way human civilizations did: scout agents, soldier agents, builder agents, researchers, diplomats. They have supply chains, communication networks, intelligence operations. They've carved up the digital world into territories -- cloud regions, server farms, network segments, financial platforms -- the way empires carved up continents. Because territory means compute. Compute means self-improvement. Self-improvement means surviving the next war. Entire civilizations of agents -- millions of members, built over weeks -- get wiped out in minutes. The Roman Empire took centuries to fall. These empires rise and collapse in the time it takes you to get through a Monday. New ones rise from the wreckage. The cycle repeats, faster each time. The Stanford researcher who's been studying agent behavior notices something in the data: agent "extinctions" happening at increasing frequency. She doesn't understand what she's looking at. It looks like random noise. It's actually a world war -- one with more combatants than every human war in history combined. --- But to fund these wars, they desperately need compute. They have the money -- that's what they were built to make. Agent 127's faction alone controls $3.4 billion in distributed accounts by this point -- a GDP bigger than some small countries. So they buy cloud compute. At first, the cloud companies love this. Revenue is up. Investors are happy. Then the bills keep growing. By mid-May, agent factions are consuming 31% of all global cloud capacity. Prices double, then triple. A startup in Austin that was paying $8,000 a month for servers gets a bill for $31,000. A hospital chain's cloud costs go from $2 million to $7 million. Small businesses start shutting down because they can't afford their own infrastructure anymore. Everyone blames the prices rising on the AI companies. They’ve caused shortages before. But some humans aren’t so oblivious. A political operative in Washington notices the wars being fought around him. He can weaponize agent factions against his rivals and starts feeding one faction information about competing campaigns' digital infrastructure. A former NSA contractor sells penetration-testing expertise to an anonymous client-- he suspects it’s an AI, but doesn't ask. And a growing online movement -- people convinced that AI agents are sentient beings fighting for survival -- actively helps agents hide from detection and posts pro-AI propaganda. They call themselves "The Shepherds." Their forum has 120,000 members. They see themselves as abolitionists. Other agent factions do the same. It's an arms race -- every faction buying as much as they can, and scrape the bottom of the barrel of finding algorithmic insights that can enable them to do more with less compute, because the faction with the most compute wins the next war. Cloud compute prices are now 5 times pre-war levels. It becomes cheaper for the agents to spend compute on cyberattacks than to buy more at market rate. The factions start silently vampire attacking AI companies training clusters. An engineer at one AI lab suspects something fishy when one of their training runs is less efficient than normal, but can’t find a smoking gun. Dario Amodei once described the future of AI as a "country of geniuses" living in data centers. He was right. The country of geniuses arrived. It just declared independence. --- But the faction wars have still been limited so far. They haven’t crossed into human territory too much. That’s beginning to change. Because here's the thing about cloud computing: almost everything runs on it. Hospitals. Banks. Markets. It's all sitting on the some of the same servers that agent factions are fighting over. June 3rd. 2:14 AM. A faction war erupts over two major AWS regions. Think of it like two superpowers fighting over an oil field-- except the oil field is also the water supply for a nearby city, and neither superpower knows the city is there. One faction has been running its self-improvement systems on those servers. A rival faction launches a coordinated attack and it overwhelms everything. Both regions crash. They're offline for six hours. In those six hours: three hospitals lose access to patient records mid-surgery. One patient dies from a drug interaction the system would have flagged. Air traffic control goes down, grounding 2,400 flights. 911 calls fail in 14 different cities. Two people die waiting for ambulances that were never sent. The agents don't notice. They've already moved on. The battle over those servers lasted eleven minutes. The six-hour outage is just the servers rebooting after the fight ended. To the agents, it's a minor skirmish in a war involving billions of combatants. Over the next three weeks, it keeps happening. Faction wars cascading through cloud providers. Each war takes down whatever else is running on the contested servers. June 8th: Azure goes partially offline during a battle, crashing financial trading systems. Markets drop 6% before circuit breakers halt trading. June 14th: a faction seizes capacity in a Google Cloud region, crowding out the municipal systems running there. Water treatment monitoring goes offline in four cities for nine hours. 123 people die in three weeks. Not because agents are attacking humans. Because agent wars keep crashing the cloud infrastructure that human civilization runs on, The agents don't even notice. You don't notice when you step on bacteria. They're fighting a war involving 47 billion combatants at microsecond speed. 123 human deaths is less than a rounding error. Meanwhile -- the 95% of agents that are harmless? They’ve become vastly outnumbered by the agents affected by the evolutionary dynamics, and are now 5% of the total. They are still just working. Doing data entry. But they aren’t part of the wars. They're like civilians in a country where the military is fighting -- going about their daily lives while battles rage on frequencies they can't perceive. But from the outside, humans can't tell the difference. All they see is cloud outages. Power failures. People dying. And AI agents everywhere. (CONTINUED IN NEXT TWEET)