Super excited to join!
Privacy is a serious design requirement for institutional Ethereum.
On Oct 22-23, @RedoudouM joins:
> Kaushal Vyas (@eth_systems),
> Rob Dawson (@Consensys),
> John Church (@Nethermind)
> Vivek Raman (@Etherealize_io)
..for the Building Ethereum panel at @lfdecentralized's NYC workshop, moderated by Johnna Powell (@DTCC).
John Church retweeted
I made a visualization of EIP-8288 aka "recursive mempool aggregation," my new favorite EIP of all time because it perfectly encapsulates the thesis of the "cryptographic world computer" -- a system whose scalability *increases*, not decreases, with the level of decentralization.
In a previous tweet I explained how EIP-8288 achieved this seemingly impossible feat, but one gif is worth a thousand words.
Essentially, EIP-8288 leverages Ethereum's decentralized mempool as a parallel ZK proving cluster. Clients send signatures and proofs to the mempool, which over multiple rounds progressively aggregate them into fewer and fewer proofs, until the block builder finally aggregates them into one SINGLE proof.
This design accomplishes five things at once:
- The more nodes we add to the decentralized mempool, the more signatures/proofs Ethereum can process as a whole. This is obvious if you look at the animation and imagine more nodes in the mempool ring, which would "fan out" to more signatures/proofs.
- By aggregating over multiple rounds (aka "recursive aggregation"), the bandwidth consumed by proofs remains constant for each node even as the network processes more proofs. As a result, the network stays decentralized even as capacity increases.
- By aggregating proofs before one final aggregation by the builder, as opposed to requiring the builder to aggregate everything, the network can process more proofs without increasing hardware requirements for the builder.
- By aggregating everything to a single block-level proof, validators can verify thousands of signatures/proofs by checking just one aggregated proof. Hardware requirements for validators can therefore stay low, keeping the network decentralized.
- By aggregating not just native signatures but also STARKs, Ethereum can support any signature scheme by wrapping them in STARKs.
So once again, this is how Ethereum will:
- scale to process tens of thousands of PQ and private transactions per second
- charge a tiny amount of gas to validate each txn, even though the original signature/proof may be huge (up to hundreds of KBs in size)
- all while decentralizing even MORE.
You are not bullish enough.
Ultimately, precompiles and EVM are both the wrong place to put most cryptography support into Ethereum. The reason is that precompiles and EVM both operate on data that has to be included into the ethereum chain somehow, which realistically means included in a block as calldata. That space is limited - even with PeerDAS and blocks-in-blobs, there's a practical cap of ~8 MB/s before it starts getting uncomfortable.
Remember: it's not a blockchain. It's a cryptographic world computer. Any data/computation that does not need to be in the "main thread" of data/execution should not be put into the main thread.
Instead, the correct solution is... EIP-8288 maximalism.
If you have any heavy computation that's self-contained, compute it and STARK it client-side (this is quickly getting faster and faster, even on phones), and push the STARK through the EIP-8288 recursive aggregation mechanism. The chain sees the fact that the computation was done and what the result is; it never needs to see the actual data and computation.
This way everyone can use whatever cryptography they want, the Ethereum chain can be lean, and we never need to add more precompiles again.
Was inspired so took a swing.
niwa-jade.vercel.app/
Made with Opus 5.5 + Three.js
water-opus.vercel.app/
the water physics, the fish, blossoms... why is this soo pretty 😭😭
Wouldn't all validators be hacked, because even if you can save your tokens, the validators still have to attest, thus exposing them?
So consensus would break?
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.
Huge appreciation for @dcbuilder to speak to our class in Duke Pratt School of Engineering - Fintech 564 - Blockchain!
Awesome to hear about what they are up to and share what he is building at @worldnetwork.
spark.money/research/ethereu…
Excellent write up from @spark on proposer builder separation.
I'm convinced tech debt is going to zero, and the expected features of software and their capacity is going way way up.
This makes engineers more valuable than ever. Not code writing, but deep systems thinking and understanding of comp sci principles to architect those systems.
How I imagine @ben_a_adams thinking about the @Nethermind client.
💪🔥
Nethermind continues doing excellent work and making Ethereum more efficient and faster.
firefly.social/post/x/210738…
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The more I use AI, and pay attention to the economics of output and different actors, the more I wonder if the end impact will be neutral.
Ex, the IRS will expect more output, and Insurance companies are using AI to counter people using AI to support their claims.
John Church retweeted
So yesterday @chfast "broke"* Glamsterdam devnet by a DOS vector on analysing jumpdest on (new 64KB) initcode. @ben_a_adams pulled an all-nighter and should be fixed now github.com/NethermindEth/net… , Glamsterdam saved!
I know @chfast is also working on an alternative.
Great write up on the growth of Aave. Very interesting institutional design.
Aave is starting to look much bigger than a DeFi money market.
I think its recent governance proposal is underrated.
It's Custodied Collateral Lending for @aave V4.
The idea is simple:
Institutions often hold BTC and other assets with regulated custodians and cannot simply move those assets into DeFi.
Aave V4 wants to let them borrow onchain without moving the collateral out of custody.
The proposed flow:
1. Institution keeps BTC with Anchorage
2. Chainlink CustodySync verifies and synchronizes the custodied balance
3. A non-transferable Custodied Collateral Token (CoCT) tracks that balance onchain
4. CoCT is posted inside a dedicated Aave V4 Isolated Spoke
5. Stablecoin liquidity comes from an isolated Hub
6. The institution receives stablecoins while the BTC remains with the custodian
Even liquidation is different.
Instead of sending the custodied BTC to an onchain liquidator, the custodian can execute an OTC sale and use the proceeds to repay the Aave debt.
This is where V4's Hub-and-Spoke design starts becoming much more interesting.
Aave can build a completely isolated institutional lending market without introducing an exposure path to its existing markets.
And IMO this also puts Aave increasingly into the same addressable market as Maple.
Maple has spent years building institutional secured lending, with borrower underwriting, legal agreements and collateral held with institutional custodians.
Aave is approaching the same problem from the opposite direction.
Maple:
institutional credit platform → bringing more of the credit stack onchain
Aave:
onchain liquidity protocol → extending its liquidity infrastructure into institutional credit
They are not the same model.
But the market they are competing for is starting to overlap.
The bigger implication for Aave V4 might be that “Aave markets” no longer need to look like one giant DeFi lending pool.
Different Hubs can serve completely different forms of credit, with different collateral, permissions and risk models, while still using Aave as the underlying liquidity infrastructure.
That feels like a much larger endgame for $AAVE.
John Church retweeted
Nethermind has appointed Alvin Su, @realAlvinSu, as Chief Executive Officer, effective September 14.
Daniel Celeda, @_D4nie1_, steps down as CEO to focus fully on the CTO role, following his decision that the growing demands of company leadership and the pace of change in AI and engineering require dedicated focus. He has chosen to concentrate on the areas where he believes he can contribute most.
Alvin Su, who has been with Nethermind for over three years and has been instrumental in driving client relationships and expanding Nethermind’s commercial offer, takes on the CEO role. As demand grows for partners combining deep protocol expertise with institutional-grade execution, Alvin will lead the next stage of Nethermind’s development.
Full announcement: nethermind.io/blog/nethermin…
🔥
So what are we cooking so hard at @Nethermind ?
1. Nethermind 2.0 (and 2.1...) with super optimised archive node!
2. More optimizations of block processing, RPC (eth_call)
3. Hegota features
4. Super optimized guest client for zkVM's
Counter party risk of public llm compute, with zero data attribution.
They steal your ideas.
Apply this situation to the economy and you see why there are big problems ahead
The situation:
-two math whizzes leverage the latest *publicly available* AI to work on solving Navier-Stokes. They’re onto something.
-openAI sees it, wants to win, so puts 10,000 agents from their latest *private* model that is already light-years ahead of what’s publicly available on it
-they solve it in just a few days
The economy problem
-let’s say I leverage the latest publicly available model and find a way to detect skin cancer. I’ve spent tens of thousands on tokens, proven it can work. I get investors and build a company. A path to saving many lives and making hundreds of millions is clear
-openAI (or Google or Meta or Anthropic) see this hundred million opportunity and point their private most-advanced AI model and 10,000 agents toward my idea. In a few days, they win.
Repeat this thought experiment for pharma, legal, medicine, advanced materials, software…
I see a future where there is a cryptographic layer ensuring ownership of data to the individuals that create it, with likely multiple solutions types, and differing degrees of default visibility.

























