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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分26

OpenAI 内部模型产出 722 篇数学手稿,密码学者担忧加密风险

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一篇由 The information 发布的报道说,OpenAI 的内部模型产出了 722 篇数学手稿,并称密码学者开始担忧公钥加密可能成为下一项受影响的领域。约翰斯·霍普金斯大学的 Matthew Green 认为,AI 削弱人们对现有公钥加密信心的可能性为 15%;这并不表示加密算法已经被攻破。

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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.

来源:Rohan Paul · x.com

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