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Why did I choose @Bricktopians as my first NFT to buy in 3 years?
Im locking in on brand building and content that stands out in 2026.
Ive seen @AlexIsBuilding crafting premium content creators.
Im doubling down on becoming the best creator I can.
2026 is the year to ship 🚢
LOC | 416.BTC retweeted
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"
firefly.social/post/x/210783…
LOC | 416.BTC retweeted
We talk about Ethereum scaling for users.
What happens when the users aren’t human?
If agents start allocating capital and coordinating value, the infrastructure they rely on isn’t just about scale.
It’s about choosing the right foundation.
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: vitalik.eth.limo/general/202…
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ethereum-magicians.org/t/a-m… ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
LOC | 416.BTC retweeted
The skills and connections we build in this space compound quietly.
We just don’t give them enough credit.
The context. The pattern recognition. The reps.
Someone starting in Web3 today would feel completely lost.
Don’t gate keep.
Help someone get their first win.
LOC | 416.BTC retweeted
24,000+ Trustless Agents registered on Ethereum in just two weeks
But how do you discover them, verify their identity, and evaluate their reputation across platforms?
ERC-8004 introduces a universal onchain directory for agent discovery ⤵️
teapaw.org/DavideCrapis/status/20…
The skills and connections we build in this space compound quietly.
We just don’t give them enough credit.
The context. The pattern recognition. The reps.
Someone starting in Web3 today would feel completely lost.
Don’t gate keep.
Help someone get their first win.
We talk about Ethereum scaling for users.
What happens when the users aren’t human?
If agents start allocating capital and coordinating value, the infrastructure they rely on isn’t just about scale.
It’s about choosing the right foundation.
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: vitalik.eth.limo/general/202…
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago ethereum-magicians.org/t/a-m… ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
Getting noticed as a small creator isn’t complicated.
It just requires more patience than most people have.
Build a clear identity.
Talk about what you’ve actually experienced.
Add signal in replies.
Show up even when it feels pointless
Find your community.
That’s really it.
LOC | 416.BTC retweeted
There's so much heat coming this year.
Excited to have you in the family LOC 🐐
Why did I choose @Bricktopians as my first NFT to buy in 3 years?
Im locking in on brand building and content that stands out in 2026.
Ive seen @AlexIsBuilding crafting premium content creators.
Im doubling down on becoming the best creator I can.
2026 is the year to ship 🚢
LOC | 416.BTC retweeted
when small creators ask me what nft communities they should be a part of, I always push for them to get a @Persona_Journey or @bricktopians.
both have given way more value than what they cost and built a strong foundation of like-minded people who genuinely want to grow.
I’ve seen members get access to tools, opportunities, and even land jobs just from being active inside their discords.
we still have a long way to go at creator academy, but I’m proud that we’re helping people who share the same passion and mindset.
one step at a time. ☝️
Why did I choose @Bricktopians as my first NFT to buy in 3 years?
Im locking in on brand building and content that stands out in 2026.
Ive seen @AlexIsBuilding crafting premium content creators.
Im doubling down on becoming the best creator I can.
2026 is the year to ship 🚢
0/ ERC-8004, the standard for universal AI agent identity, reputation, and verification, is now live on Ethereum Mainnet.
With the ERC-8004 standard, AI agents are accountable economic actors.
Here are 5 unlocks that ERC-8004 gives to builders, and how to integrate today.
I really don’t have a strong opinion on short term price predictions.
One thing I have conviction on is the people showing up and still building today.
They’ll be leading the next cycle.
That’s the only bet I’m making….
LOC | 416.BTC retweeted
Peter Thiel conspicuously accumulating high single digit % ownership in multiple ETH DATs kinda tells you what you need to know
dude doesn’t gamble
he accumulates and plays the game until he takes over the world
most here don’t understand how these games are played
LOC | 416.BTC retweeted
Oh no!!!! We have retraced all the way back to $4500 eth!!! A price not seen since 2 entire days ago
LOC | 416.BTC retweeted
I've interviewed 500+ crypto candidates over the past few years
The best hires all shared one trait:
They know how to move forward when nothing is clear
In crypto, you wake up and the rules have changed
A new chain launches. Regulations shift. Your biggest competitor pivots overnight
The people who thrive here don't wait for someone to tell them what to do next
During interviews, I'd throw them curveball scenarios. "Our token just dropped 40% and the community is angry. You have two hours. What's your move?"
The best candidates started solving without asking for more context
They'd outline 3 possible approaches, pick one, and explain their reasoning
While others froze up asking "but what does leadership want?"
You can teach technical skills, but you can't teach being comfortable with chaos
Give me someone who moves forward without perfect information over someone who needs a detailed context every time
LOC | 416.BTC retweeted
Back in penguin mode today. Thanks for the new pfp, @pudgypenguins!
























