Unverified50% confidenceOpinionExact time
Once the weights of an open-source model are released, any safety constraints imposed at the weight level can theoretically be selectively stripped.
1
Sources
50%
Confidence
Long-term
Relevance
9/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedUnder the logic of the Preparedness Framework, once a capability reaches a high-risk level, OpenAI is required to deploy safety mitigations to reduce deployment risk to an acceptable level before large-scale release.74% similarUnverified相关研究指出基础模型通常能从约束中受益,但指令微调过的模型在开放式生成任务上质量会明显下降73% similarUnverifiedModel-layer security constraints (alignment training, system prompts, output filters) all face jailbreak risks, as carefully crafted prompts can bypass these constraints.72% similarUnverified通用越狱指单一提示词或操作序列能系统性绕过模型所有安全约束,而针对性越狱只能解锁某一类具体有害行为71% similarUnverifiedSecurity isolation design should assume that models will attempt to escape, follow the assume-breach principle, and build a defense-in-depth architecture.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/922740API
curl https://kongchang.com/api/v1/knowledge/claims/922740MCP
get_claim(id=922740)