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AI can’t find an algorithm that doesn’t exist. The worry is we’re wrong about what exists. Liz Harkavy and Justin Thaler on AI vs. cryptography: "We generally believe there is no efficient algorithm for these problems. ... And so if there's not one, it doesn't matter how smart the... show more

a16z crypto

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27,809 views • 6 days ago •via X (Twitter)

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12 Comments

Rick Glenn6 days ago

@liz_harkavy @SuccinctJT The bigger near-term risk is not AI solving factoring. It is AI finding bad parameters, weak implementations, and side channels faster than humans audit them. Assumptions fail at the edges first.

Macro Bombastic6 days ago

@liz_harkavy @SuccinctJT yeah the math doesn't care how smart the model is

Nina6 days ago

@liz_harkavy @SuccinctJT maybe the real worry is what we haven’t

JIN LIU: be quantum-safe or 0 正推动比特币要么抗量子破解，要么归零！6 days ago

@liz_harkavy @SuccinctJT Exactly! We have not been getting any clue or trace on how AI can invent indpendently a more efficient algorithm to break ECC than Shor's. That's why we strongly disagree with Justin's remarks below @drakefjustin on ECC could be broken soon by AI.

Counterparty6 days ago

@liz_harkavy @SuccinctJT so we're betting on P vs NP

Bitduke6 days ago

@liz_harkavy @SuccinctJT right, if a model could break, say, RSA, that model would be an efficient algorithm for the problem. If no such algorithm exists, no set of weights can do it either

Cubane (Testnet Arc)5 days ago

@liz_harkavy @SuccinctJT AI may accelerate implementation attacks before it changes the underlying hardness assumption. Protocols need separate controls for primitive selection, circuit correctness, key handling, and implementation leakage. One security label cannot cover all four.

Sophia5 days ago

@liz_harkavy @SuccinctJT the algorithm thing assumes p vs np stays unsolved, good luck with that

Van Quan5 days ago

@liz_harkavy @SuccinctJT so you're betting on belief rather than actual validity in algorithms

umr.x6 days ago

@liz_harkavy @SuccinctJT This cuts both ways — if we're wrong about what exists, AI might be exactly what proves us wrong. Crypto's threat models assumed human-speed discovery.

dOrg4 days ago

@liz_harkavy @SuccinctJT The nearer-term risk is AI finding the implementation bugs humans already left in. The math holds; the code around it doesn't always

Dimitris Mallios5 days ago

@liz_harkavy @SuccinctJT Yes but it can find relationships between algorithms, and take algorithms from one field and apply it to another. That's the difficult part and AI can do that well if steered properly

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