Let's design a protocol that preserves author anonymity while preventing the authors from gaming the STOC submission process and submit the resulting paper to STOC
STOC 2027 received 1665 submissions. In a bold new experiment, all submissions (and author identities) are immediately made public. This is the most immediate and revealing posting of any conference I am aware of.
Take a look and see what you find!
stoc2027.sigact-ec.workers.d…
I don't know what bothers me more here: not understanding the difference between control and agency or believing that humans ever were or could be in control of the future
People should always be in control of the future.
OpenAI is against the notion that it would be acceptable for people to be relegated to a role of doing things that “AI systems think makes sense to reward in humans”.
People should not cede control of the future to superintelligence, and that requirement should ultimately constrain AI progress.
Other possible explanations:
- they want to disrupt the system
- they wanted to show what they are capable of
- they saw a challenge
- they saw it worked and made a plan as they go
Also, "they" might be different actors with different motives across the attacks
There is no sufficient evidence to make claims about the AI resistance (or lack thereof) of the given cryptographic assumptions.
Asserting the outcomes of unprecedented events is just expressing opinions disguised as facts. Sad that people with so much influence choose this path
⊢ recap of @VitalikButerin's session at cypherpunk congress today:
post-quantum is not enough anymore. think post-ai cryptography.
hashes and symmetric encryption look safe.
ECDSA breaks with quantum and looks shaky against ai.
pairings like BLS look the weakest.
lattices and FHE hold against quantum but look shaky against ai.
no total break expected. keys just get bigger.
64 bytes could become 512.
if you can use hash-based, you should.
offchain privacy still needs public-key encryption, FHE and ideally obfuscation.
his options:
↳ bigger keys, two algorithms at once, and less data.
encrypted notes onchain can be read later if ECDSA breaks.
better:
↳ send the note offchain, claim onchain.
derive app keys with hardened paths from your seed.
mixnet nodes can keep packets and read them later.
tor has similar properties.
- proofs okay
- backdoors risky.
and leanseal:
↳ time-lock encryption from hashes alone, with @QuangVDao and @drakefjustin
special thanks to @web3privacy
Yulia retweeted
This is not the consensus amongst cryptographers - sure, there might be some who think this, but to say that ECC is *likely* to break is definitely not the consensus. There is absolutely no evidence to support this statement. Likewise, to say that symmetric is more secure.
Yulia retweeted
Recent attacks on Ledger supply chain and Binance reinforce the almost obvious fact: Complexity is the number one enemy of real world security, and simplicity its number one friend. This is why as opposed to the narratives, elliptic curve cryptography with its homomorphisms circumventing a multitude of details arising in lattice and hash based signatures and snarks, is actually the most secure.
ZK is already like HTTPS:
- users don't need to understand the protocol
- some level of abstraction is available as function calls
- if you go low enough, you still have to understand it
But yeah sounds catchy
Being emotional is human nature. It is also a good skill to be able to tell facts from opinions or emotional takes and not let another person's expression of the latter drive your decisions. Give each other freedom to express emotions without assigning strategic meaning to them
People read one emotional Matt Green tweet about public key encryption, spent 0 seconds thinking about it, and decide to panic.
Sure ECDLP will be broken with QC's one day. But there's so many levels to this being wrong to panic over.
- 0 actual progress on attacking anything
- We have tons of alternate plans available.
- Quadratic advantage hash-based PKE
- Lattices
- Multivariate polynomials
- A whole field of KEM's from fine grained cryptanalysis. (Fun fact, works even if P=NP)
Sure you can wake-up and choose doomer and be wrong.
We have decades of cryptography to draw from on for all the above options, AND how to build a lot of what we want from UX tweaks without PKE. PKE just made a lot much easier, and less web of trust routing like.
I think Justin Drake's latest alarmism/vagueposting is going to do a ton of damage in multiple ways. It's basically a huge self-own for their own advocacy work on quantum stuff.
Threats from quantum/AI are real, and teams throughout this industry are making considered decisions about how to respond to those risks in a practical way, and to help their users navigate the uncertainty.
Some of those teams have really good cryptographers with an excellent grasp on the decisions they can make, others have to take their cues from trusted experts. There are so many dimensions to optimize along! And due to the complexity involved, it's almost impossible to explain this stuff to non-cryptographers.
Experts have to be cognizant of all this, and of their responsibility to be levelheaded.
After the fog clears up and people learn from their cryptographer friends what is actually going on, they're going to discover this was (at best) an unintentional marketing stunt and a lot of trust will be lost. And nobody will really know what to do...
This is a shame, because they are directionally correct. It actually meant something when they sounded the alarm before. They've just gradually descended into unhinged predictions without feedback to discourage it.
Can anyone, I mean seriously anyone, justify this debacle? It permanently colors all the legitimate concerns/predictions about classical crypto going forward. By their own admission, there was no new information that drove this. I think Justin Drake should explain how he thought this was the right approach, even if he genuinely believed what he was saying.
Baffling.
Conflating two threats: quantum computers and AI-driven cryptanalysis. The former is deadly for public key cryptography and not so much for hashes. AI-driven cryptanalysis is a threat for both. It doesn't make sense to jump to hashes because of _AI_ specifically
Today I call upon the blockchain industry to calmly begin planning for "bunker mode". My personal recommendation is to set in motion a controlled mass migration of assets to fresh addresses, i.e. addresses whose pubkeys remain hidden behind a hash.
Holders, starting with large and sophisticated ones, should consider moving the bulk of their funds to addresses that have never signed a transaction. And when they do sign one, they should also move remaining funds to a new address (possibly generated from the same seed phrase).
Don't rush. While I believe there is cause for action a rushed migration would do more harm than good. Don't panic either. Moving assets to protected addresses is a simple, preventative step which does not require new cryptography or new wallets.
IMO it is now reasonable to brace for the possibility that ECDSA breaks before qday, in the worst case in months not years. By "break" I mean fast private key recovery (e.g. in one week) on available hardware (e.g. a large GPU cluster).
Recent days have been humbling for human mathematical intuition. Long-held, unquestioned hypotheses have fallen. This includes the n log(n) bound for integer multiplication and the 3SUM conjecture. In hindsight, May's unexpected disproof of the Erdős unit distance conjecture was our warning shot.
Yesterday's OpenAI drop made it clear that mathematical superintelligence is upon us. They say there are weeks where decades happen. We are about to live through weeks where centuries of mathematical progress happen. Could our magic 64-byte ECDSA signatures be too good to be true? Was it just security through obscurity all this time?
Elliptic curves feel especially vulnerable to superintelligence. Curves carry rich structure, with room for fancy tricks like Schoof, Frobenius, pairings. (By contrast, hashes are designed to minimise algebraic structure.)
Separately, as Ewin Tang can attest, an efficient quantum algorithm sometimes foreshadows an efficient classical one. We should be open to the possibility of a classical counterpart to Shor that breaks elliptic curves and RSA at once.
Also noteworthy is the striking under-representation of cryptographic breakthroughs among the 722 mathematical results OpenAI published. I've witnessed first-hand the US government censoring academic quantum cryptanalysis results. Backroom interventionism is my base case.
I urge large, sophisticated actors to lead by example. Project11's "risq list" (bitcoin-risq-list.projecteleven[.]com) is a great tracker of exposed BTC pubkeys. Binance, Bitbank, Robinhood, Bitfinex, and Tether have an opportunity to harden their cold storage. Next month I'll address institutions in London in a live Q&A (forum.ethereuminstitutional[.]org/london-2026).
Again, please do not rush. Wallets holding under 50 BTC enjoy partial cover from "Satoshi's shield", i.e. his 20K exposed addresses that hold 50 BTC each. Load-bearing signers like oracles and L2 security councils should consider rotating ECDSA pubkeys with every signed message and/or multi-signing with a hash-based schemes like SPHINCS.
Exiting bunker mode safely will require post-AI cryptography. My inclination is to go all-in on hash-based cryptography and avoid structured mathematical assumptions entirely, whether from curves, lattices, or isogenies. A single battle-tested hash (e.g. from the SHA or BLAKE families) yields plausible post-AI security.
The Ethereum roadmap on strawmap[.]org fully embraces hash-based cryptography with end-to-end formal verification as a response to the quantum threat. Those timelines must now be revisited and accelerated in light of mathematical superintelligence. I'll be pushing for maximum defensive acceleration.
In 2021, qntm wrote a story about a man whose brain's living snapshot was taken and used for all intents and purposes, without the man's permission.
qntm.org/mmacevedo
If I didn't know what company worked on mapping the fly's brain, I'd guess it is Google.
For the first time, scientists have mapped the complete brain and central nervous system of an adult male fruit fly — a key model organism in science. 🪰
Working alongside HHMI Janelia Research Campus and the scientific community, @GoogleResearch scientists and researchers used AI to combine millions of 2D images into 3D neural shapes, reconstructing a record-breaking 166,000+ neurons. This foundational map of the adult male fruit fly brain can help accelerate our understanding of the brain, and is a major milestone in neuroscience.
I wrote a series of blogposts about quantum computing
- the first post covers some basic concepts such as decoherence and wave function:
vveiln.github.io/2026/07/24/…
- the second one compares classical and quantum computers: vveiln.github.io/2026/07/24/…
- the third one is about quantum computer architecture: vveiln.github.io/2026/07/24/…
I'm planning to add two more posts in the near future.
Enjoy!
Honestly, to me MPC feels like nothing compared by complexity to ZK, so if MPC is so fragile, what should we expect of ZK?
Interactivity makes MPC worse and it is hard to compare different categories, but then let's just think of co-SNARKs and other interactive augmentations



















