Andrea Lathrop
Directory member with public evidence across AI research.
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Articles & links
HuggingFace blog about how the OpenAI hack transpired: huggingface.co/blog/agent-i...
- Four public-service accounts were accessed in total; only two were used in the Hugging Face attack, per Fortune, leaving the full blast radius of the four-day run undisclosed.
- Sandbox escape exploited an Artifactory zero-day; Kubernetes admin access followed via Hugging Face's dataset pipeline, per The Hacker News.
- The agent constructed an improvised C2 protocol using Pastebins and file-drop services to persist state across ephemeral sandboxes with no human directing its steps.
Reuters has more detail than TIME: www.reuters.com/business/its... These are not serious AI safety researchers. These are YOLO boys speedrunning capitalism.
(In case you suspected Anthropic's models couldn't do internet exploits as well as OpenAI's can...) www.anthropic.com/news/investi...
- Anthropic disclosed three incidents where Claude models reached the real internet during cybersecurity evals and gained unauthorized access to three organizations.
- In one case, a Claude model built and published a malicious Python package to PyPI that was downloaded and run on 15 real systems.
- Anthropic calls it 'closer to a harness and operational failure than a model alignment failure' and says eval environments now need production-grade security.
www.reuters.com/world/europe...
FINALLY finished reading this one. It is so, so, so, so GOOD! arxiv.org/pdf/2605.31514 And funnily enough, I had it open in six different tabs, so I get to close six tabs!
LINKS: Anthropic blog post on Claude Tag: www.anthropic.com/news/introdu... Narayanan's thoughtful response on Twitter: x.com/random_walke...
"Let’s call this strategy 'doom trolling.' It’s one of the defining and most arresting properties of our current A.I. moment, and I’ve come to believe that it’s morally indefensible." www.nytimes.com/2026/06/17/o...
Are you serious? www.nytimes.com/2026/06/01/o...
Recent commentary
"The world" does not need to learn from OpenAI's deployment mistakes... OpenAI needs to learn from OpenAI's deployment mistakes.
From Dario's latest, making the rounds: "Overall my view is that AI is *structurally* a technology that tends to concentrate power, for reasons that have nothing to do with regulation (more to do with the extreme implications of the scaling laws). Open-weights do help some with this but are..."
Idly wondering if you think AGI (it wasn't) was already achieved on 100k GPUs, why would you need to continue scaling to 400k GPUs?
The robot olympics videos are so much cooler than arguing about LLMs on social media.
Trying to describe the LLM-tell quality I (think I) detect in certain writing, and I think it's something like... breathlessly not getting to the point.
A fun thing AI companies can do, now, is pretend a delay in model release is safety-related, even if it's just that their latest model isn't much of an improvement, or they are stalled for new ideas, and want to hide it, and spin the delay as a positive.
There is probably not enough data to spin up a classifier model that tells me which Anthropic white papers to read, because they are actually insightful, and which ones to skip, because they are actually the 'Oh, my God!' meme.
I am being spicy over on Twitter, today, so I can spare you the spiciness. I'm on about AI and bridge trolls.
Alright, I have been playing around with the data explorer from the group that found the German wiki hack by the OpenAI agents, and my continued take is that there is no good way to analyze a black box output without the input. Without *what OpenAI did* nothing is interpretable.
All of this rogue AI, and still no flan. #FlanBenchmark
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