Vitalik Buterin warns of AI-accelerated risks to cryptography
Vitalik Buterin says he does not recommend anyone scramble to move funds to new wallets today, but argues the risks to cryptography from AI-accelerated math should be taken seriously. He says exposure should be minimized to not just quantum-vulnerable but also potentially AI-vulnerable cryptography, naming ML-DSA, FHE and lattices as the core new area of risk.
Why “Confirmed”
- Published by a primary source: Vitalik Buterin
1 independent source group across 1 post · evidence score 90/100. How labels work
What the sources claim
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Buterin does not recommend anyone scramble to move their funds to new wallets today.
“I don't recommend anyone scramble to move their funds to new wallets today.”
Vitalik Buterin -
Buterin says the risks to cryptography from AI-accelerated math should be taken seriously.
“we should take the risks to cryptography from AI-accelerated math seriously”
Vitalik Buterin -
Buterin says exposure should be minimized to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography.
“minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography”
Vitalik Buterin -
Buterin says the core new area of risk from this viewpoint is ML-DSA, FHE and lattices.
“The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices.”
Vitalik Buterin -
Buterin says there is a good chance the concrete security of lattices will take serious hits from the next two years of AI math.
“there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math”
Vitalik Buterin -
Buterin says ECDSA might fall even faster than expected, which is another reason for the fresh address recommendation.
“it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation”
Vitalik Buterin
Sources
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Summary and claims extracted by deepseek/deepseek-flash with prompt analyze-story@3 on 2026-10-08 00:00 UTC. Labels are computed from the sources, not by the model.