{"author":{"username":"kazani","displayName":"Kazani","fid":4926},"timestamp":"2026-10-24T06:06:49.000Z","text":"OpenAI red-teamed their hardened containment infrastructure by asking teams of frontier-model agents to try to break through its defenses. They easily escaped in novel ways.\n\nAfter strengthening its containment architecture, OpenAI resumed its frontier RL training and inference on October 1.\n\nhttps://openai.com/index/securing-our-frontier-model-training-environment/\n\nSee also: Models are now approaching a massive general jump in cyber capabilities. \n\nFrom the Kimi K3.1 launch post: '...we found that without data removal at either the mid-training or the RL stage, downstream cyber capability would increase substantially.'\n\nhttps://www.kimi.ai/blog/kimi-k3-1-pro","links":[{"url":"https://openai.com/index/securing-our-frontier-model-training-environment"},{"url":"https://www.kimi.ai/blog/kimi-k3-1-pro","title":"Kimi K3.1 Pro Tech Blog: Advancing Open Intelligence"}],"farcaster":"https://farcaster.xyz/kazani/0x35c77a895dfbd8619066edced238195b2bb69015","firefly":"https://firefly.social/post/farcaster/0x35c77a895dfbd8619066edced238195b2bb69015"}