Cosa si dice su X · AI ·
Bitcoin tocca il minimo a 7 giorni, con $100 miliardi cancellati dal mercato a causa di timori che l'IA possa violare la crittografia
84.913 post · 55.749 account · -15% rispetto al giorno prima
- Il prezzo di Bitcoin è sceso a un minimo di 7 giorni, cancellando $100 miliardi dal valore totale delle criptovalute a causa di timori che l'IA possa rompere la crittografia entro mesi[44]
- Il ricercatore della Ethereum Foundation, Justin Drake, ha avvertito che rapidi progressi dell'IA potrebbero potenzialmente compromettere la crittografia ECDSA che protegge Bitcoin ed Ethereum, con scenari critici entro "mesi, non anni"[53]
- Vitalik Buterin ha sottolineato la necessità di prendere sul serio i rischi per la crittografia derivanti dal calcolo accelerato dall'IA, consigliando di ridurre l'esposizione sia alla crittografia vulnerabile al quantum sia a quella potenzialmente violata dall'IA[73]
- Un'analisi di Bloomberg indica che le azioni dell'"AI Big 10" rappresentano il 42% della capitalizzazione di mercato statunitense, più del doppio rispetto al minimo del 2022, evidenziando l'impatto crescente dell'IA sui mercati finanziari[59]
I post citati
[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.
Apri su X[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.
Apri su X[59] The Kobeissi Letter · @kobeissiletter ·
BREAKING: The "AI Big 10" now accounts for a record 42% of US stock market cap. This includes Magnificent 7 stocks as well as Broadcom, $AVGO, AMD, $AMD, and Micron, $MU. This figure has more than doubled since the 2022 bear market low. By comparison, during the 2000 Dot-Com Bubble, the Technology, Media & Telecom (TMT) sector peaked at 41%, while the Nifty Fifty peaked at 40% in the 1970s. Furthermore, Japan’s equity market bubble in the 1980s peaked at 44%. In the past, only railroad stocks have significantly exceeded this concentration, accounting for 63% of US market cap at their highest point in the 1900s. The dominance of Big Tech is extraordinary.
Apri su X[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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