AI Summary
5 min readCan AI Break Cryptography? What the Experts Actually Think
On March 5, 2025, security researcher Justin Drake of the Ethereum Foundation posted a tweet warning the crypto industry to prepare for "bunker mode" — a possible complete break of elliptic curve cryptography in the coming months, driven by advances in AI. The tweet was prompted by OpenAI's release of roughly 700 papers showing remarkable progress across mathematics and computer science. But as Stanford professor Dan Boneh explains, "everybody calm down. Don't panic. The world today is the same as it was a year ago, two years ago."
The conversation on the a16z podcast, hosted by Liz Harkavy alongside Boneh, general partner Eddie Lazarin, and research partner Justin Thaler, disentangles two conflated threats: quantum computing (the usual suspect in cryptography discussions) and AI's new mathematical capabilities. The key insight: the OpenAI papers made no cryptographic breakthroughs whatsoever.
What the OpenAI Papers Actually Showed
Boneh went through the list of 700 problems where OpenAI's models made progress. "As I finished the list, the thing that kind of stuck in my mind is that wow, this is incredible progress in mathematics, in computer science, but there are no questions here on cryptography. Not even on theoretical cryptography."
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What you'll learn
- 1 (00:00) **The New Threat: AI vs. Cryptography** - A new concern emerges about whether AI can break current cryptosystems, sparking debate.
- 2 (01:28) **The Spark: Justin Drake's "Bunker Mode" Tweet** - A security researcher's warning about AI-driven cryptographic breaks kicks off the conversation.
- 3 (02:43) **Disentangling Two Threats: AI vs. Quantum** - The panel distinguishes the AI cryptography threat from the long-standing quantum computing threat.
- 4 (03:07) **The Conspicuous Absence of Cryptography** - The 700+ mathematical breakthroughs from OpenAI notably did not include any direct cryptographic results.
- 5 (06:33) **Cryptography's Foundational Assumptions** - All cryptography rests on unproven assumptions about the hardness of specific math problems.
- 6 (08:20) **Why Failed Attacks Build Confidence** - The panel explains that trying and failing to break cryptography is a positive, confidence-building process.
- 7 (10:21) **The Stakes: Beyond Crypto Wallets** - Breaking elliptic curve cryptography would affect the entire digital world, not just blockchains.
+ Full timestamped outline available in the app
Show Notes
Could AI break the cryptography protecting everything from crypto wallets and banking to private messages? Recent advances in AI-driven mathematical research have sparked new warnings about the security of today's encryption systems, but how much of the concern is supported by evidence?
a16z crypto's Liz Harkavy is joined by Stanford cryptographer Dan Boneh, a16z crypto General Partner Eddy Lazzarin, and Research Partner Justin Thaler to separate what we know from what remains speculation. They explain why modern cryptography relies on mathematical assumptions, what OpenAI's recent results do and don't demonstrate, and how the potential threat from AI differs from quantum computing.
They also discuss why existing security practices and cryptographic alternatives offer reasons for confidence, the importance of building systems that can adapt if an assumption fails, and how AI could ultimately help researchers and developers make software more secure.
Resources:
Watch the original a16z crypto discussion: https://www.youtube.com/watch?v=k_CoOoDsZ5Y
Follow Eddy Lazzarin on X: https://x.com/eddylazzarin
Follow Dan Boneh: https://x.com/danboneh
Follow Justin Thaler: https://x.com/SuccinctJT
Follow Liz Harkavy: https://x.com/liz_harkavy
Learn more about a16z crypto: https://a16zcrypto.com/
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