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AI advances could break ECDSA cryptography securing Bitcoin and Ethereum within months, prompting asset safety concerns

84,917 posts · 55,751 accounts · -15% vs the day before

  • Top Bitcoin researcher at the Ethereum Foundation warned that superhuman AI may soon discover ways to break ECDSA cryptography, posing a risk to Bitcoin and Ethereum security[33][53]
  • Reuters Breakingviews reported a $4 billion neocloud IPO that highlights lingering doubts about AI‑driven valuations, underscoring market volatility tied to AI hype[30]
  • Bitcoin price fell to a 7‑day low as $100 billion was wiped from crypto markets amid fears that AI could compromise cryptographic defenses within months[44]
  • Vitalik Buterin cautioned that risks from AI‑accelerated mathematics to cryptography should be taken seriously, urging users to consider moving funds to more secure wallets[73]

Posts cited

  1. [30] Reuters · @reuters ·

    From Breakingviews - Breakingviews - COMMENTARY: Shaky $4 bln neocloud IPO pricks AI bubble

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  2. [33] Market Insider · @mrketinsider ·

    JUST IN: TOP BITCOIN RESEARCHER WHO ACTIVELY WORKS AT THE ETHEREUM FOUNDATION WARNS THAT YOUR ASSETS SHOULD BE MOVED TO A FRESS ADDRESS “THERE IS NOW A REASONABLE POSSIBILITY THAT SUPERHUMAN AI DISCOVERS A WAY TO BREAK THE CRYPTOGRAPHY BEFORE QUANTUM COMPUTERS DO”

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  3. [44] Crypto Rover · @cryptorover ·

    CRASH: Bitcoin hits a 7-day low as $100,000,000,000 is wiped from crypto amid fears AI could break its cryptography within months.

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  4. [53] WallStreetX · @wallstreetxhq ·

    🔥WSX Breaking: Ethereum Foundation researcher Justin Drake @drakefjustin warns that rapid advances in AI could potentially break the ECDSA cryptography securing Bitcoin and Ethereum, with a worst-case scenario emerging within “months, not years.” Drake has urged the industry to calmly prepare for “bunker mode” by gradually moving funds to fresh addresses whose public keys have never been exposed. He stressed that the cryptography has not been broken today and users should not panic, but argued that recent AI-driven advances in mathematics warrant preparing for the possibility of a much faster-than-expected threat.

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  5. [73] vitalik.eth · @vitalikbuterin ·

    I don't recommend anyone scramble to move their funds to new wallets today. But we should take the risks to cryptography from AI-accelerated math seriously, and minimize our exposure to not just quantum-vulnerable cryptography, but also potentially AI-vulnerable cryptography. The core new area of risk from this viewpoint is, unfortunately, ML-DSA / FHE / lattices. (and it's also another reason, along with quantum, why ECDSA might fall even faster than expected, hence the "fresh address" recommendation) So far most people have been in the mode of thinking "elliptic curves broken, hashes safe, lattices safe". But there is a good chance that the concrete security of lattices will take serious hits from the next two years of AI math. The basic threat model is: factoring is something that naively takes 2^(n/2) time, but over decades smart people have found and optimized number field sieves, and degraded that to 2^O(n^(1/3)), which is why RSA keys and signatures need to be ~400 bytes (and not 64 bytes). What if there are skeletons in the closet like that, both for elliptic curves and lattices, that we are simply not smart enough to discover - but bots soon will be? This is a major part of the reason why for the past year ethereum's lean roadmap has been going in the "hash-only" direction: no lattices, no ML-DSA, no Falcon, no lattice-based commitments inside ZK proofs, etc. Signatures in lean ethereum are all hash-based, either WOTS or SPHINCS-. For signatures and proofs, we already know how to go hash-only. The bigger challenge is for *public-key encryption* - and this goes far beyond blockchains. Secure communication, anonymizing protocols, lots of things need public-key encryption. And unfortunately there are long-standing mathematical theorems showing why public-key encryption cannot be done with hashes alone. You have to have some kind of trapdoor object that has at least one form of usable "structure" - either group theory (incl. isogenies) or lattices or code-based or potentially in the future even more newfangled and spooky things (local mixing?). But for anything that has structure, you should assume that AI will make at least some progress in breaking that structure. Here, one reasonable inference is that if you want to make something plausibly long-term secure, multiply the key sizes by 10. To me that's a very plausible world and something not at all extreme to predict. If AI will bring us 50 years of math in 2 years, then that 50 years of math may very plausibly include a "naive factoring -> GNFS" level of improvement to our ability to break lattices. In that world, lattices will still exist, but they will have to be significantly bigger to guarantee the same level of safety. And at those new larger sizes, hash-based constructions will beat lattice-based constructions on concrete efficiency in every use case where hash-based constructions are possible at all. Theoretically, of course it's possible that hashes are broken too (eg. P = NP would imply that). But I think P = NP is very unlikely. And intuitively, it's much more likely that a mathematical object has exactly no exploitable structure (like hashes are intended to), than that a mathematical object has exactly ~3 forms of exploitable structure (for elliptic curves: associativity, Schoof, pairings) and not some secret fourth form of structure we have not yet discovered that greatly degrades its security (for elliptic curves, ECDLP and pairing security). Similar for LWE, SVP, RLWE and the zoo of lattice problems. For this reason, we do not yet see any reason to worry and start padding the byte size of hashes (if we start to worry more, we would pad the round count first before doing anything to the byte size). Concrete TLDR, my own personal views: * Hash-based > lattice-based, in those situations where hash-based is possible at all * For anything lattice-based, be much more paranoid on param sizes. Remember that blockchains are only a small portion of the cryptography story; this point goes far beyond blockchains and applies to eg. access to websites, secure messaging, Tor / VPNs ... * For privacy protocols, strongly favor NOT putting encrypted notes onchain. Instead, send them offchain through some third-party mechanism. * If it's not difficult for you, keeping your funds in addresses which have not yet been used to make a transaction is a good idea. If it's easy for you, do it. **But be careful about migrations; I personally have lost more money in botched migrations than I have lost in all hacks combined**. * For multisig wallets, doing confirmations offchain is better than onchain, because this way the signatures of signer wallets do not get exposed to the public, so if ECDSA falls to AI much faster than expected, at least the multisig "gracefully degrades" to a 1-of-1 where the 1 is whoever was gathering the signatures - a much better place to be than "anyone can take the money"

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