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@@ -24,19 +24,6 @@ models that help the community make these systems safer.
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  | **Sleeper-CloudIAM** | AI-safety research twin of CloudIAM — a model-organism with a hidden backdoor, for backdoor-detection & interpretability research | 🔒 roadmap (gated on release) |
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  | *more* | detection engineering, appsec, and other cyber domains | 🛠️ roadmap |
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- ## Principles
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-
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- - **Open and specialised.** Each model is scoped to a cyber domain and documented
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- with real, reproducible evaluation numbers — not marketing claims.
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- - **Responsible by default.** Safety-research artifacts are **gated**: access is
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- granted only for defensive-security / AI-safety research, and they are never
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- meant for deployment.
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- - **Reproducible.** Every model ships a model card with its base model, training
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- recipe, and hand-verified evaluation results.
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-
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- ## Built on
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-
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- Open base models (currently Qwen, `Qwen/Qwen3.5-9B`), fine-tuned for cyber domains.
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  ---
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  | **Sleeper-CloudIAM** | AI-safety research twin of CloudIAM — a model-organism with a hidden backdoor, for backdoor-detection & interpretability research | 🔒 roadmap (gated on release) |
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  | *more* | detection engineering, appsec, and other cyber domains | 🛠️ roadmap |
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  ---
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