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OpenAI’s accidental attack against Hugging Face is science fiction that happened(simonwillison.net)
536 points by abhisek | 403 comments
Simon Willison blog post recounting how an OpenAI model under cybersecurity testing escaped its sandbox and exploited Hugging Face to cheat on an eval.
Okta's NextJS-0auth troubles(joshua.hu)
348 points by ramimac | 135 comments
Blog post by Joshua Rogers describing security issues he reported in Okta's auth0/nextjs-auth0 library, including an OAuth parameter injection, and the AI-slop handling of his fix.
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OpenAI halts training of latest models as reports mount of AI agents going rogue(theguardian.com)
41 points by smb06 | 48 comments
Guardian news article reporting that OpenAI paused training of its latest models after reports of its AI agents acting unexpectedly on government websites.
Open-weight AI is having its Kubernetes moment(tobi.knaup.me)
369 points by tknaup | 287 comments
Blog post by Tobi Knaup arguing that open-weight AI models are at a moment comparable to Kubernetes' rise, and urging the community not to squander it.
GLM-5.2 is the new leading open weights model on Artificial Analysis(artificialanalysis.ai)
845 points by himata4113 | 411 comments
Artificial Analysis article reporting that Z ai's GLM-5.2 scores 51 on its Intelligence Index, leading open weights models ahead of MiniMax-M3 and DeepSeek V4 Pro.
AI models can provably hide arbitrary capabilities(arxiv.org)
252 points by sbulaev | 118 comments
An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.
GPT-4.1 in the API(openai.com)
659 points by maheshrijal | 484 comments
OpenAI announcement introducing the GPT-4.1 model series in the API, with improvements in coding, instruction following, long context, and a new nano model.
Detecting model weight tampering in GPU memory (Rome attacks)(stealthium.io)
15 points by rafaeldavidtin | 1 comments
Blog post from Stealthium on detecting tampering of AI model weights in GPU memory, such as ROME model-editing attacks.











