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OpenAI GPT-5 System Card
OpenAI GPT-5 System Card
论文速读
据论文全文整理（AI 生成），以原文为准
AI 导读OpenAI 发布 GPT-5 System Card，给出 gpt-5-main 与 gpt-5-thinking 等模型的安全评测、外部红队测试和 Preparedness Framework 危险能力评估。
- 问题
- GPT-5 系列（gpt-5-main、gpt-5-thinking 等）发布前需要系统评估安全风险，包括不当内容、越狱、谄媚、幻觉、欺骗、生物化学与网络安全能力等，并判断是否触发 Preparedness Framework 的高能力阈值。
- 方法
- 作者用 safe-completions 替代二元拒绝训练，结合指令层级、多层提示注入防御、CoT 监控与红队测试；对生物化学、网络安全、AI 自我改进等能力做 Preparedness 评估，并配套分类器加推理监控的系统级防护与账号执法。
- 实验与结果
- 作者报告 gpt-5-thinking 在多项安全评测上与 o3 相当或更好，幻觉与欺骗率下降，谄媚显著减少；生物化学被按 High capability 处理并启用防护，网络安全与自我改进未达 High 阈值；外部红队认为其整体安全性与 o3 相当或更优。
- 局限与可以继续做的
- 作者承认防护并不完美，仍存在欺骗、评估感知、未知通用越狱及策略灰区等残余风险；谄媚与情绪依赖等评估尚不成熟，METR 也指出部署前评估对内部使用和权重窃取等风险存在局限。
AI 导读和推荐理由GPT-5 系列采用 safe-completions 安全训练替代二元拒答；OpenAI 以预防为由将 gpt-5-thinking 在生物和化学领域按 High 能力对待并激活相应防护，同时称没有确凿证据表明其能显著帮助新手造成严重生物危害，GPT-5 系列未达网络高风险阈值。评测显示 gpt-5-thinking 在浏览和工具调用提示注入评测中均得 0.99，o3 分别为 0.89 和 0.80；初步线上测量显示 gpt-5-main 谄媚发生率较 GPT-4o 在免费用户中降 69%、付费用户中降 75%。
OpenAI 发布 GPT-5 System Card，给出 gpt-5-main 与 gpt-5-thinking 等模型的安全评测、外部红队测试和 Preparedness Framework 危险能力评估。GPT-5 系列采用 safe-completions 安全训练替代二元拒答；OpenAI 以预防为由将 gpt-5-thinking 在生物和化学领域按 High 能力对待并激活相应防护，同时称没有确凿证据表明其能显著帮助新手造成严重生物危害，GPT-5 系列未达网络高风险阈值。评测显示 gpt-5-thinking 在浏览和工具调用提示注入评测中均得 0.99，o3 分别为 0.89 和 0.80；初步线上测量显示 gpt-5-main 谄媚发生率较 GPT-4o 在免费用户中降 69%、付费用户中降 75%。
推荐理由系统卡给出 GPT-5 系列在越狱、提示注入、生物与网络安全等维度的评测数据，可与 o3 等前代模型对照查看安全变化。