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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score26

OpenAI internal model produces 722 math manuscripts as cryptographers weigh encryption risksMachine translation

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A piece published by The information says OpenAI’s internal model produced 722 math manuscripts and reports concern among cryptographers that public key encryption could be affected next. Johns Hopkins professor Matthew Green puts the odds that AI erodes confidence in today’s public key encryption at 15%; the material does not report that an encryption algorithm has been broken.

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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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