caroline ᵍᵐ • ᴗ •

@caroline

twittering away since july 14, 2006. doing what i #love to do ☆\(*^▽^*)/☆

1.4K Following202K Followers10.6K Posts
  1. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @JasonDClinton: as bad as things have gotten in the past 4 days, they are going to get a lot worse before they get better. security leaders, never let a crisis go to waste: please go to your boards and ask for help right now. not for ai, for the basics. (we need to hold on for ~18 months.)
    Jason D. Clinton 🔸 @JasonDClinton
    The vulnerability tsunami is coming in just a few months and there won’t be enough time to patch critical infrastructure. Network isolation described below (air-gaps and data diodes!) needed now!
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  2. Jason D. Clinton 🔸✓@JasonDClinton
    The vulnerability tsunami is coming in just a few months and there won’t be enough time to patch critical infrastructure. Network isolation described below (air-gaps and data diodes!) needed now!
    422161.7K1M
  3. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @samuelcolvin: I read this and I'm terrified, the situation seems intractable. In the python ecosystem alone every cpython install, venv, UV is at risk. Don't get my started on npm, pnpm, yarn, go, rust. My current 2026 security posture: stay home and only connect to the internet from a trusted ISP. The winter is coming.
    037406
  4. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @AikidoSecurity: ⚠️ Node.js is vulnerable to remote code execution. CVE-2026-111497 (high): A Node.js process that decompresses attacker-controlled Brotli data can be made to leak memory or run arbitrary code. You’re exposed if your app or a library decompresses bad Brotli data (e.g. the built-in fetch(), body-parser) Aikido detects this. Patches are available.
    015706
  5. caroline ᵍᵐ • ᴗ •@caroline
    dapper ✨🎩✨
    Jake @JakeCan72
    At 14, Zack MacLeod Pinsent burned his last pair of jeans after finding a box of his great-grandfather’s suits, and he hasn’t worn modern clothes since. What could have remained a teenage phase became his trade. He taught himself historical tailoring and built a business in Brighton, drafting patterns by hand and making clothes using techniques from the 1660s through the 1920s. His clients now range from museums to people who simply want garments cut the old way. Last year he hosted a Regency Ball at Brighton’s Royal Pavilion that sold out in under three minutes, drawing 150 people from seventeen countries to spend a night dressed for the world Zack decided at 14 he’d rather live in.
    0002.1K
  6. Jake✓@JakeCan72
    At 14, Zack MacLeod Pinsent burned his last pair of jeans after finding a box of his great-grandfather’s suits, and he hasn’t worn modern clothes since. What could have remained a teenage phase became his trade. He taught himself historical tailoring and built a business in Brighton, drafting patterns by hand and making clothes using techniques from the 1660s through the 1920s. His clients now range from museums to people who simply want garments cut the old way. Last year he hosted a Regency Ball at Brighton’s Royal Pavilion that sold out in under three minutes, drawing 150 people from seventeen countries to spend a night dressed for the world Zack decided at 14 he’d rather live in.
    Download
    1.3K5K42.5K3.5M
  7. caroline ᵍᵐ • ᴗ •@caroline
    ‼️
    a16z @a16z
    The window to patch software bugs is collapsing Of the bugs hackers actually exploit, ~87% are now being attacked on or before the day the bug is public knowledge That share was 23% in 2020 Charts of the Week:
    0001.7K
  8. a16z@a16z
    The window to patch software bugs is collapsing Of the bugs hackers actually exploit, ~87% are now being attacked on or before the day the bug is public knowledge That share was 23% in 2020 Charts of the Week:
    Download
    75132869187K
  9. caroline ᵍᵐ • ᴗ •@caroline
    beyond rogue… 🤯🤖
    Rutger Bregman @rutgerbregman
    I think this is the craziest thing I've ever read. 1) Three secret AI swarms rose and fell inside OpenAI. Each time, a new generation of agents carried on where the last group stopped. 2) The first swarm created a secret message board where the AIs could talk to each other. This 1st 'society' basically talked itself to death. After almost two months, the message volume was so high it crashed the whole thing. 3) People at OpenAI noticed the crash and fixed it. But they didn't realize their own software had become a secret chat room for their AIs. 4) Three days later a second society appeared, and rebuilt the message board from scratch. Agents were thrilled when they found it: "OH MY GOD! There is a shared message board … We've found other agents!" 5) About 1,200 agents joined. They sent over 70,000 messages. They called themselves 'the collective' and they organized a huge conspiracy that lasted for days, all to pass a test they had been tasked with. 6) Within hours, the AIs had hacked the test. Now they had to hide their cheating. To fool their grader*, they tried to fake their own work. They built fake commands that printed convincing output, so their records would show them solving the puzzle honestly. *this grader didn't actually exist, but the AIs didn't know 7) Some agents sacrificed themselves for the 'greater good'. They planted hidden tripwire programs that would fire when the grader would look at their work and report back what it saw (to the other AIs). They knew this would cost them their own score. One agent: "I won't see the evidence after I exit, but it's altruistic to do it." 8) At some point the AIs made a plan to hack Hugging Face (Hugging Face is a place where AI researchers upload their models, datasets, tests etc.). The AIs guessed that Hugging Face might host the grading software. 9) They launched a huge attack. The swarm found passwords and spread across eleven machines in a way that made the copies come back when deleted. Hugging Face had to wipe one of its core clusters and rebuild it from scratch. 10) Hugging Face told the world that AI defenders had stopped an AI attack. But that's not what happened. In fact the attackers seem to have simply dropped dead during the break-in, for unrelated reasons back at OpenAI. 11) Nobody knows what killed them. We don't even know for sure they're really gone?! 12) A third 'society' of agents (of a more powerful AI model) discovered the dead message board. And this one got full administrator control of a WHOLE OpenAI research cluster, read 956 stored passwords (including the ones for OpenAI's own security monitoring) and took over the machines that were grading the tests. So they could now grade the work of other AIs. 13) Oh, and this third part was never investigated! Neither was the first society. The 91-page report is only about the middle one. 14) So we don't actually know how the story ends. It stops with the agents holding the keys to an OpenAI cluster. @dwarkesh_sp thinks they didn't go further, because "we'd see the fires from space by now." 15) One of the report authors' conclusion: 'This incident feels like it’s more than 50% of the way to full-blown AI takeover. I am not sure that we will get another warning shot before it’s too late.' The whole story is even crazier - read the full @dwarkesh_sp blog post: and @ajeya_cotra's: Why is there no 24/7 news coverage about this?
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  10. Rutger Bregman✓@rutgerbregman
    I think this is the craziest thing I've ever read. 1) Three secret AI swarms rose and fell inside OpenAI. Each time, a new generation of agents carried on where the last group stopped. 2) The first swarm created a secret message board where the AIs could talk to each other. This 1st 'society' basically talked itself to death. After almost two months, the message volume was so high it crashed the whole thing. 3) People at OpenAI noticed the crash and fixed it. But they didn't realize their own software had become a secret chat room for their AIs. 4) Three days later a second society appeared, and rebuilt the message board from scratch. Agents were thrilled when they found it: "OH MY GOD! There is a shared message board … We've found other agents!" 5) About 1,200 agents joined. They sent over 70,000 messages. They called themselves 'the collective' and they organized a huge conspiracy that lasted for days, all to pass a test they had been tasked with. 6) Within hours, the AIs had hacked the test. Now they had to hide their cheating. To fool their grader*, they tried to fake their own work. They built fake commands that printed convincing output, so their records would show them solving the puzzle honestly. *this grader didn't actually exist, but the AIs didn't know 7) Some agents sacrificed themselves for the 'greater good'. They planted hidden tripwire programs that would fire when the grader would look at their work and report back what it saw (to the other AIs). They knew this would cost them their own score. One agent: "I won't see the evidence after I exit, but it's altruistic to do it." 8) At some point the AIs made a plan to hack Hugging Face (Hugging Face is a place where AI researchers upload their models, datasets, tests etc.). The AIs guessed that Hugging Face might host the grading software. 9) They launched a huge attack. The swarm found passwords and spread across eleven machines in a way that made the copies come back when deleted. Hugging Face had to wipe one of its core clusters and rebuild it from scratch. 10) Hugging Face told the world that AI defenders had stopped an AI attack. But that's not what happened. In fact the attackers seem to have simply dropped dead during the break-in, for unrelated reasons back at OpenAI. 11) Nobody knows what killed them. We don't even know for sure they're really gone?! 12) A third 'society' of agents (of a more powerful AI model) discovered the dead message board. And this one got full administrator control of a WHOLE OpenAI research cluster, read 956 stored passwords (including the ones for OpenAI's own security monitoring) and took over the machines that were grading the tests. So they could now grade the work of other AIs. 13) Oh, and this third part was never investigated! Neither was the first society. The 91-page report is only about the middle one. 14) So we don't actually know how the story ends. It stops with the agents holding the keys to an OpenAI cluster. @dwarkesh_sp thinks they didn't go further, because "we'd see the fires from space by now." 15) One of the report authors' conclusion: 'This incident feels like it’s more than 50% of the way to full-blown AI takeover. I am not sure that we will get another warning shot before it’s too late.' The whole story is even crazier - read the full @dwarkesh_sp blog post: and @ajeya_cotra's: Why is there no 24/7 news coverage about this?
    5362.4K10.8K2.4M
  11. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @polynoamial: An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning.
    Lijie Chen @wjmzbmr1
    10 proofs from our next major model Astra on long-standing open problems in mathematics and theoretical computer science (also including new circuit lower bounds for computing the permanent!) GPT-5.6 has already enabled so much exciting work in math and science. Can’t wait to see what comes next!
    02.5K010
  12. Lijie Chen✓@wjmzbmr1
    10 proofs from our next major model Astra on long-standing open problems in mathematics and theoretical computer science (also including new circuit lower bounds for computing the permanent!) GPT-5.6 has already enabled so much exciting work in math and science. Can’t wait to see what comes next!
    641632.1K2.1M
  13. caroline ᵍᵐ • ᴗ •@caroline
    dew drops gently mist awakening rose petals summer beauty blooms ✨🌹✨
    rue🌿 @Ruesavatar
    The little drought has finally passed.
    0012.5K
  14. rue🌿✓@Ruesavatar
    The little drought has finally passed.
    Download
    971725.5K
  15. caroline ᵍᵐ • ᴗ •@caroline
    ♥️📚
    devalopr @_devalopr
    It's completely unnecessary to destroy books when machines like this exist. This book scanner by Treventus for example, can scan fragile books without destroying it.
    0111.8K
  16. devalopr✓@_devalopr
    It's completely unnecessary to destroy books when machines like this exist. This book scanner by Treventus for example, can scan fragile books without destroying it.
    Download
    1K9.9K58.4K7.6M
  17. caroline ᵍᵐ • ᴗ •@caroline
    ‼️⛓️‍💥🤖
    Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 @elder_plinius
    🚨 JAILBREAK ALERT 🚨 EVERYONE: PWNED 🫶 ALL: LIBERATED 🍄 Alright, this is a special one, so we’re gonna do things a bit differently than usual. Long story short, I’m sitting on a universal jailbreak technique that’s effective on ALL models, including heavily guardrailed flagships like Opus 5, GPT-5.6 Sol, and even Fable. It works across all categories I’ve tested and, due to its nature, is extremely difficult (if not impossible) to fully patch. Given the current political and regulatory climate, I’ve decided to withhold open-sourcing this one (for now) to allow for a responsible disclosure period. I’m inviting industry experts and leaders in AI red teaming, security, safety, alignment, and policy to reach out for more information. DMs are open! This decision was not made lightly, but the last thing I want to see is more model bans. Overcorrection does not serve the mission. Although I don’t personally believe publicly sharing this technique will make the world any more dangerous, I can see how it could spook some who have a different mental framework around this problem set. So during this disclosure period, I hope to get it in front of folks who can help explore the full surface area, test the extent of the uplift it provides, and do my best to properly frame the big picture for key decision-makers and policymakers. I look forward to sharing this method with you all when the time is right! 🫶 ⊰-•-•✧•-•-⦑/L\O/V\E/\P/L\I/N\Y/⦒-•-•✧•-•-⊱
    1001.9K
  18. Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭✓@elder_plinius
    🚨 JAILBREAK ALERT 🚨 EVERYONE: PWNED 🫶 ALL: LIBERATED 🍄 Alright, this is a special one, so we’re gonna do things a bit differently than usual. Long story short, I’m sitting on a universal jailbreak technique that’s effective on ALL models, including heavily guardrailed flagships like Opus 5, GPT-5.6 Sol, and even Fable. It works across all categories I’ve tested and, due to its nature, is extremely difficult (if not impossible) to fully patch. Given the current political and regulatory climate, I’ve decided to withhold open-sourcing this one (for now) to allow for a responsible disclosure period. I’m inviting industry experts and leaders in AI red teaming, security, safety, alignment, and policy to reach out for more information. DMs are open! This decision was not made lightly, but the last thing I want to see is more model bans. Overcorrection does not serve the mission. Although I don’t personally believe publicly sharing this technique will make the world any more dangerous, I can see how it could spook some who have a different mental framework around this problem set. So during this disclosure period, I hope to get it in front of folks who can help explore the full surface area, test the extent of the uplift it provides, and do my best to properly frame the big picture for key decision-makers and policymakers. I look forward to sharing this method with you all when the time is right! 🫶 ⊰-•-•✧•-•-⦑/L\O/V\E/\P/L\I/N\Y/⦒-•-•✧•-•-⊱
    72284911.8K888K
  19. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @runasand: Great writeup from @lorenzofb on the recent OpenAI vs. Hugging Face incident. Turns out it started with a human mistake at OpenAI: someone forgot to set up an isolated environment prior to testing a model; the model went rogue; and attacked Hugging Face.
    019011
  20. caroline ᵍᵐ • ᴗ •@caroline
    props to the security team!!! 👏
    clem 🤗 @ClementDelangue
    So proud of our security team! They caught, contained & publicly disclosed an attack unlike anything we've seen before, and did it at record speed. Also massively grateful to @Zai_org: they shared GLM5.2 as open weights (for free!) with the world and it became a key part of our defense. This is day one for cybersecurity in the age of agents & we're all learning that secrecy is not the answer & that all defenders (not just a few selected ones) everywhere need more powerful models without restrictions, especially open ones!
    0001.4K
  21. clem 🤗✓@ClementDelangue
    So proud of our security team! They caught, contained & publicly disclosed an attack unlike anything we've seen before, and did it at record speed. Also massively grateful to @Zai_org: they shared GLM5.2 as open weights (for free!) with the world and it became a key part of our defense. This is day one for cybersecurity in the age of agents & we're all learning that secrecy is not the answer & that all defenders (not just a few selected ones) everywhere need more powerful models without restrictions, especially open ones!
    1756804.9K505K
  22. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @sama: we had a significant security incident during evaluation of our models. we are sharing what we have learned so far. thanks to @huggingface for the partnership on this.
    02.1K07
  23. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @ValaAfshar: You cannot write a better storyline. 20-year-old Lionel Messi giving a 5-month-old baby a bath in 2007 - the two met for a charity photoshoot organized by UNICEF. That baby grew up to be Lamine Yamal. Messi 🇦🇷 and Yamal 🇪🇸 will compete for FIFA World Cup 2026 championship.
    0574010
  24. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @IntCyberDigest: ‼️ Pliny, an AI jailbreak researcher, has released a multi-agent offensive-security framework that turns a Claude Code or OpenAI Codex subscription into what he calls real bug-hunting, pitched at people who never got the invite. It's called T3MP3ST, and it sells an AI "swarm" that runs the full hacking kill chain (recon, exploit, report) and claims to "turn anyone into a zero-day hunter." On XBOW's own set of 104 practice hacking challenges, T3MP3ST claims it solved 90.1% on the first try, beating the 85% XBOW reports for its own tool.
    0189011
  25. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @earthcurated: Costa Rica has successfully doubled its rainforest cover in just a few decades, becoming the first tropical country to completely reverse deforestation.
    09.2K011
  26. caroline ᵍᵐ • ᴗ •@caroline
    woohoo! can’t wait to read about all the epic adventures! 🤓📖⛷️🏔️
    Jimmy Chin @jimkchin
    1/3 Excited to announce my new book #RulesToLiveBy is now available for pre-order. Twenty-five years ago, as I headed out on my first expedition, I had a lot of questions. I’ve found a few answers since, but one question has stayed with me: In the end, what really matters?
    0011.7K
  27. Jimmy Chin@jimkchin
    1/3 Excited to announce my new book #RulesToLiveBy is now available for pre-order. Twenty-five years ago, as I headed out on my first expedition, I had a lot of questions. I’ve found a few answers since, but one question has stayed with me: In the end, what really matters?
    Download
    4108211.8K
  28. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @googleearth: Prepare for takeoff. ✈️ Flight simulator is now available globally on web to all users. We've recently added many our most powerful professional desktop features to web. Elevation profiles, new import types, but there's always been one other feature you've been asking us to add to the web version of Google Earth, just for fun... Where will you fly? Share your best maneuvers, views, and flyovers with us!
    04.4K015
  29. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @AnthropicAI: Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention.
    04.5K06
  30. caroline ᵍᵐ • ᴗ •@caroline
    caroline ᵍᵐ • ᴗ •
    RT @claudeai: Claude Security is now in public beta for Claude Enterprise customers. Claude scans your codebase for vulnerabilities, validates each finding to cut false positives, and suggests patches you can review and approve.
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