专家探讨人工智能对密码学的影响：能否破解密码学？

with Dan Boneh, Eddy Lazzarin, Justin Thaler and Liz Harkavy

AI is getting better at solving hard math problems. But what does that mean for the cryptography protecting everything from banking and private messages to crypto wallets and more?

We bring together expert cryptographers from Stanford and a16z crypto to make sense of the recent warnings sounded on social media, partly sparked by OpenAI’s drop of recent math results. We cover what’s fact, what’s assumption; what’s new and which risks cryptographers have long prepared for; where quantum computing fits; and where they see opportunities for builders to make software more secure.

Highlights:

00:00 Intro
00:37 What sparked the 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?

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