A new paper from Hugging Face introduces a safety trilemma for large language models, stating that Useful Capability, Reliable Safety, and Open Access cannot coexist. The research highlights that safeguards relying on copyable context are insufficient for dual-use tasks where attackers can mimic legitimate requests. To achieve more reliable safety, the paper proposes augmenting current safeguards with trusted credentials that are difficult to replicate and can predict actual downstream use. AI
IMPACT Highlights fundamental limitations in current LLM safety approaches, suggesting a need for new methods beyond copyable context.
RANK_REASON Academic paper on LLM safety with theoretical analysis and proposed solutions. [lever_c_demoted from research: ic=1 ai=1.0]
Read on Hugging Face Daily Papers →
- Hugging Face
- large language model
- Open Access
- RELIABLE SAFETY AT THE ENTERPRISES OF SUEK
- Useful Capability
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