1 link tagged with all of: ai security + quantum computing + cryptography + dan boneh + encryption
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Cryptographers from Stanford and a16z address whether recent AI breakthroughs threaten the math underpinning encryption. The short answer: recent AI progress on general math problems tells us almost nothing about cryptographic security, and even smarter AI can't solve problems that don't have efficient solutions.
- Recent AI math breakthroughs didn't include any cryptography results, so they reveal nothing about whether encryption methods are actually vulnerable.
- Modern cryptography assumes certain math problems have no efficient algorithm at all—not just that humans haven't found one yet. A smarter AI can't discover an algorithm that doesn't exist.
- AI could compress the years-long vetting process for new cryptographic systems by rapidly testing whether they can be broken, building confidence faster than traditional analysis.
- Cryptographic agility—the ability to switch between different encryption methods—already exists in systems like TLS and offers defense against both AI and quantum threats.
cryptography
ai security
encryption
dan boneh
quantum computing