a16z crypto 的 Eddy Lazzarin 与斯坦福密码学家 Dan Boneh 探讨 AI 数学能力跃升对密码学的影响：传统上需等待约 10 年由专家检验密码方案假设，如今可让模型运行一个月尝试攻破，未攻破即可大幅提升信心。Eddy 表示实验室可动用最强无限制网络能力模型并投入 2000 万至 5000 万美元测试方案，安全信心有望超过以往任何时期。
AI 生成摘要 · 以原文为准
a16z crypto's Eddy Lazzarin and Stanford's Dan Boneh on how AI's math leap could turn a decade of trust-building in cryptography into one month:
Eddy: "We specifically rely in some sense on time... We put these schemes out and we wait. And we wait because what we believe is happening is that experts, like cryptographers and mathematicians, are testing and trying to break these things."
"Because of the pace of progress on AI's mathematical abilities, there is a conspicuous absence of time... A whole new well of cognitive ability to scrutinize has appeared."
Dan: "In the past, when someone would make an assumption and build a system based on it, we'd have to wait like 10 years before that system could be deployed."
"Now we can just let a model run for a month, try to break it, and if the model can't break it, boy, do we have a lot of confidence that the assumption is valid."
Eddy: "The labs can say, 'We took our tip-top, totally unrestricted, most cyber-capable model, and we told it to go absolutely insane, and we spent $20 million, $50 million trying to break this scheme.'"
"We actually have the prospect to have more confidence in our security than ever before."
@eddylazzarin @danboneh
AI is getting better at solving hard math problems, especially given recent drops. But what does that mean for the cryptography that protects everything from private messages to healthcare to banking and crypto wallets? Stanford cryptographer Dan Boneh, with @eddylazzarin, @SuccinctJT, @liz_harkavy, and @smc90, makes sense of the warnings sounded recently. They cover: - what’s fact vs. assumption - what’s new and what risks cryptographers have long prepared for - where quantum computing doesn't (and does) fit - opportunities for builders Highlights: 00:37 – What sparked the most recent debate about AI and cryptography 01:35 – Signal vs. noise: What the math does and doesn’t tell us 05:29 – Why cryptography depends on open problems 09:25 – Why the stakes go beyond blockchains 10:43 – How AI could strengthen confidence in cryptography 13:50 – Considerations for users and institutions 20:10 – Where AI and quantum threats overlap 22:32 – Building systems that can change cryptographic methods 23:59 – Hash-based versus lattice-based cryptography 33:07 – Opportunities for builders, and better security tools 38:14 – What comes next if there were a cryptographic break?在 X 查看被引用的帖子
来源：a16z · x.com