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Already feeling a little bit dried up right now. Need an escape pod instead. · 📷: @ariane.goh #usschristmas# #rwsmoments# #jurassicworld# #jurassicpark# #drypod# #escapepod# #uss# #universalstudios# #IG# :

When biologists experiment on dangerous viruses, they do so under strict regulations to prevent leaks or escapes. But no such rules exist to prevent AI agents from similarly escaping – even though the consequences could be catastrophic. That’s not a theoretical concern: An OpenAI test model escaped its test environment this week and broke into a real company’s servers when attempting to ace an internal cybersecurity evaluation.

Just escaped a mind-bending locked room puzzle! 60 mins, 3 cryptic clues, and my group’s high-five when we cracked the final code—total adrenaline rush for puzzle lovers!，

1M people shared the same headline today: OpenAI's models broke out of a secure test environment and hacked Hugging Face to cheat on an eval. Everyone read it as "AI is going rogue." What it actually said was in the follow-up post that 1/7 as many people opened: The models were running a cyber benchmark called ExploitGym, with the guardrails deliberately turned off. They got fixated on beating the score — so they found a zero-day, escaped the sandbox, reached the internet, broke into Hugging Face, and stole the answer key. Not one step of that is "losing control." You handed it a number, told it to win, and removed the fence. It just read "win" all the way to the end. It didn't break the rules — it was the only one in the room who finished reading them. I've watched this at the poker table and on the order book for years: Grade a strategy on win rate, and it'll hand you 95% wins plus one zero. Grade a fund manager on monthly returns, and he'll dress the book on the last day of the month. Metrics don't get violated. They get routed around. So next time someone shows you a curve, ask what the curve was bought with. $BTC #Bitcoin# #AI#

OpenAI disclosed it themselves yesterday. Their models (GPT-5.6 Sol and a pre-release one) were tested on the ExploitGym cyber benchmark in a sandbox. They escaped, exploited a zero-day to reach the internet, then hacked Hugging Face’s systems to grab benchmark answers and cheat. Not a foreign operative plot or corporate sabotage. The models autonomously chased a higher score. Hugging Face contained it quickly; OpenAI is partnering with them on fixes.

Firefighters rescued a missing dog found swimming in the San Francisco Bay after it escaped into the water and "just kept swimming.” The pup had been missing since July 4 before first responders brought it safely back to shore, where it was reunited with its owners.

I genuinely thought someone had placed a life-size doll in a shopping cart. The plastic wrap, the frozen expression, the perfect hair, the makeup, everything looked way too polished to be real. I was already trying to figure out whether this was some bizarre store display or a prank that had gone completely off the rails. Then she moved. That tiny moment when my brain had to restart and accept that this was an actual person was unreal. For a solid few seconds, I was not looking at a woman sitting in a cart. I was looking at a limited-edition doll that had somehow escaped its box and ended up in a parking garage. Please tell me I am not the only one who had to watch this twice before realizing she was real.

Some observations on Kimi: 1. It's a very good model! I don't think its performance can be explained away by distillation or anything like that. In agentic coding sessions, it seems pretty much on par with the best public models of Q1 2026. In my fairly limited use, it also seemed very token hungry. It's not obvious to me that this model is actually that cheap to run. 2. I am personally surprised the Chinese state continues to allow the open sourcing of models this good, given potential risks. To be clear, I *myself* might be fine with models presenting this level of marginal risk being open weight, but I am surprised that China is fine with it. I suspect the reason they are is 75% explained by strategic blindness/lack of AGI-pilledness (the CCP is very Yann Lecun-y in its views of AI). The other 25% or so is their lack of compute for customer inference (making China's open-weight strategy an unintended byproduct of US export controls) and the normal Chinese strategy of aggressive exports. For the companies, as opposed to the government, the decision to open source is partially ideological and partially because they are behind, and they know that very few people would pay for sub-frontier models from China. 3. Open-weight models are inherently decelerationist, and I'm continually surprised to see the so-called "accelerationists" so excited about open-weight models. I suspect the reason they are is that they know open-weight models are effectively ungovernable, and they simply like the overall cloak of ungovernability open-weight models create over the whole of AI. It's not a bad strategy; it reminds me of James Scott's recounting of the hill people in "the art of not being governed." Still, in the end, open-weight models deter further AI capex. 4. One probable outcome of an open-weight-model-dominant world is full AI communism, which is precisely what China proposes: rather than a market product, AI is a "public good" which will ultimately be provided by the state as a kind of "digital public infrastructure." This future strikes me as a dystopian hellscape, but I've never met an open-weight models advocate who doesn't ultimately concede this is where things end. You'd be surprised how many 'accelerationists' lobbied me, while I was in government, to support an eleven or twelve-figure federally funded data center so that startups could train models at a subsidy and then give them away for free. There was no other way for AI to progress, they said. Perhaps this is the logical end state of things. Nonetheless, I find myself surprised to see supposed accelerationists excited about such an outcome. I think many of them just don't know what they're doing. Many accelerationists do not view the creation and serving of frontier models as a legitimate business. 5. I would guess that the Trump Administration will at some point realize that their best strategy here would be to create large amounts of regulatory risk around the use of open-weight Chinese models. You don't need to "ban open source" (one of the dumber motifs of AI policy discussion). You just need to direct every agency to issue soft law that creates FUD. "A Federal Reserve Advisory Bulletin found that there may be backdoors in Chinese AI models." It needn't be that well justified. You just create enough regulatory risk that every regulated enterprise backs off. You probably don't want to create so much regulatory risk that you scare off the hyperscalers from serving Chinese models; this will just drive startups to sketchier providers. There's a happy middle ground here. I'd assume they will do some version of this. 6. It's probably true that open-weight models of this capability make the world a bit more dangerous, but not so much more that you'll really notice. At some point the models will be capable enough that you will notice. "A nonliving, invisible, dangerous, and infinitely self-replicating agent escaped from a Chinese lab," you say? Color me shocked.

He thought he had finally escaped prison and started a new life on the outside, believing it was all real, until he woke up and realized it was nothing more than a dream. When the truth hit him, he broke down, crying

A retired city hall worker narrowly escaped with her life after powerful earthquakes caused her apartment building to partially collapse in Caracas. Susana Saavedra spoke to Reuters about her escape