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Safin-1.5: Recursive Safety Improvement Architecture for LLMs
- Engineer — Learn: Academic research on embedding safety as an intrinsic LLM capability via hazardous-knowledge disentanglement and a discovery-repair loop — relevant context for teams deploying or fine-tuning LLMs, but no actionable change to running systems today.
- SOC/IR — Skip
- Leader — Learn: Represents the frontier of safety-native AI model design; useful background for shaping internal AI governance policies before enterprise LLM deployments scale, though no near-term decision is required.
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