⁉️ Is model distillation of frontier models like DeepSeek-R1 and Opus 4.6 traceable to how robust each model's distilled family is 🤔? We find evidence of a completely new phenomenon that we term "Vulnerability Monoculture," where distilled models inherit the security risks of their teacher 😱 🚨 Check out our new preprint where we expose the Systemic Adversarial Robustness (SAR) of open-source frontier models Punchline: We show that models distilled from DeepSeek-R1 and Opus 4.6 are systemically less robust! In some cases, 30- 40% collectively less robust 🚨🚨🚨🚨!!!! 📝Blog: leoelm.github.io/blogs/syste… 📄Paper: arxiv.org/abs/2610.27353 w/ @leo_elm @LSzpruch @matthew_wicker 🧵1/7

🚨 Do you always have multiple rewards but don't know how to steer towards an expensive true reward? Don't fret, friends; we have the paper for you! 📣 Steered Not Stirred: Effective Reward Tilting using Surrogate Reward Mixing, led by the incredible @alec_sargood28 and team The Martini Algorithm 🍸 From 007: everyone now has a license to tilt 🤵 📜 Paper: arxiv.org/abs/2610.25502 🔗 Blog: alecsargood.github.io/martin…