OpenAI 内部模型产出 722 篇数学手稿，密码学家担忧公钥加密
OpenAI 内部模型产出 722 篇数学手稿，引发密码学家对公钥加密安全的担忧。约翰霍普金斯大学计算机科学教授 Matthew Green 认为，AI 侵蚀当今公钥加密可信度的概率为 15%。互联网加密依赖少数椭圆曲线算法，仅 X25519 就保护了大多数连接，其中 2 个被攻破就会影响大量加密流量，而备用方案研究更少、可能更弱。
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.
来源：Rohan Paul · x.com