OpenAI 内部模型产出 722 篇数学手稿，密码学家担忧公钥加密受冲击
OpenAI’s internal model produced 722 math manuscripts, and leading cryptographers now worry public key encryption could be next.
Rohan Paul 转述 The Information 的报道称，OpenAI 内部模型产出了 722 篇数学手稿，一些密码学家由此担忧公钥加密会成为下一个受冲击的领域。约翰斯·霍普金斯大学计算机科学教授 Matthew Green 给出 15% 的概率，认为 AI 会削弱人们对现有公钥加密的信心。文中指出，从支付到 WhatsApp 的大部分互联网流量依赖少数几条椭圆曲线算法，仅 X25519 就保护了多数连接，一旦其中 2 条被攻破就会影响很大比例的加密流量，而备选方案研究更少、可能更弱。
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AI 评分 67
借密码学家对公钥加密风险的量化判断，呈现 AI 数学能力外溢到密码安全领域的一种担忧。
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OpenAI’s internal model produced 722 math manuscripts, and leading cryptographers now worry public key encryption could be next.
~ The information published this piece.
Internet encryption rests on a bet that nobody can work backward from a public key to a private key, and that bet was never proven.
Matthew Green, a professor of computer science at Johns Hopkins gives 15% odds that AI erodes confidence in today’s public key encryption.
Most of the internet, from payments to WhatsApp, leans on a handful of elliptic curve algorithms, and X25519 alone secures most connections. A break in just 2 of them would hit a huge share of encrypted traffic, and the fallback options are less studied and possibly weaker.