Building index-tracking assets on top of options instead of debt
ethresear.ch/t/building-ind…
What if the use options as the base of defi, instead of CDPs and liquidations? So instead of extreme price movements creating a sharp and global "you get liquidated" effect, instead your
See also: my criticism of the idea that ZK alone, even if well implemented, is sufficient to make "identity verification" pro-freedom: vitalik.eth.limo/general/2025/0…
(And some alternative ideas for how to solve underlying goals)
The EU age verification app is presented as “completely anonymous”. But the risk is that member states (the countries are supposed to create their own versions of the open-source EU app) use it to introduce identity verification that makes it impossible to post anonymously on
One of the many things I dislike about the style of "make AI go well" discourse from frontier AI companies is how nationalist the whole thing has gotten.
In the 2010s, it was: "we're here to benefit all of humanity"
In the 2020s, "we're here to benefit all of 4% of humanity"
And even the Good People are buying into this frame completely😢
And they expect humanity to go along, because "come on, be a realistic adult, it's either us or Chiiina" or something like that
(And on the EU side, you get "[X] with European values", which too often seems to mean "the same stuff they're doing, but with Us instead of Them in charge")
Very big-dog-small-dog energy, morally speaking.
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⚡️ TODAY: Vitalik Buterin shares updates to his self-sovereign LLM setup, noting the growing intersection between Ethereum infrastructure and AI.
"We should have models finetuned for Ethereum-related use cases as well."
Vitalik Buterin on why consortium blockchains have mostly failed
“The original vision of consortium blockchains — the idea that you have 5 banks or major companies that come together and create their own chain — has been mostly a failure. I think the reason why is it ends up inheriting most of the disadvantages of centralization and most of the disadvantages of decentralization at the same time.”
“The first five banks join, and they all feel like ‘Yay, we’re building a system together. We can all be part of it.’ But then once bank #6 and bank #7 and bank #29 come in, they’re joining a system where there’s already an established power structure, established participants, and basically to them it still feels like they’re joining some kind of centralized thing that’s controlled by a cartel.”
“You don’t actually gain the benefits of true openness that people are looking for. You don’t have Etherscan. You don’t have a connection to an open, public network. At the same time, if you build on one of those systems, you have to figure out how to program distributed systems; you lose privacy — you might think you still have some, but the reality is you’re putting your data on a network where the only people that get to see it are you and all your closest competitors. From a privacy perspective, it actually doesn’t make much sense.”
“The compromise between centralization and decentralization that actually makes a lot more sense is: you have an application and today that application is a server. You can keep your server, but instead, we’re going to add scaffolding on top to give users extra security guarantees. You put Merkle roots on chain. You put proofs on chain. And you give your users assurance that whatever is happening inside of your system is actually following the rules. So you have high scale, high performance, and you optimize for a minimal delta for existing centralized infrastructure deployment. Keep your existing infrastructure the way it is, and you just add a side car that makes the roots and the proofs.”
Source: @arbitrum
SpaceX has almost finished writing V1.0 of an in-house AI training stack in C that exact-maps to 220k GB300s with 800G NICs, making heavy use of pipeline parallelism and getting as close to bare metal as possible.
The potential speed improvement vs JAX for large training runs is over an order of magnitude.
Updates since then:
* Deepseek v4 is out. There *is* a 2-bit quant that can run within 90 GB ( huggingface.co/antirez/deepse… ), and it works, however it's only fast on Apple hardware (I've head ~35 tok/s). On AMD, it's ~7 tok/s. IMO actually taking the effort to properly support more than one hardware manufacturer is a great example of the difference between mere "decentralized AI" and genuine "CROPS AI". I hope we can become better at this.
* github.com/vbuterin/messa… also has alpha telegram support now. However, the path to adding your account is quite janky
* github.com/Luce-Org/luceb… looks promising as a way to run "dense" models (eg. Qwen 27B) more efficiently. It's janky, but on my 5090 laptop it seems to be ~2x more tok/s than llama.cpp
* VoxTerm (local AI recording, no third-party servers) continues to be developed github.com/dmarzzz/VoxTerm
And there's a lot more projects coming on the horizon.
One other thing that has been on my mind is that there's actually a lot of intersection between "CROPS ethereum access layer" and "CROPS AI". For example, we want a ZK way to make (paid) calls to remote LLMs. But if we have this, then it's just as useful for solving another problem: private RPC reads in Ethereum.
Another example: application-specific finetuned LLMs. Leanstral ( mistral.ai/news/leanstral ; I get ~38 tok/s on AMD) fits into < 70 GB, but can hold its own against 1T models on writing Lean code. Things like this are a huge boon for writing more secure code ( vitalik.eth.limo/general/2026/0… ). We should have models finetuned for Ethereum-related use cases as well.
Crypto stocks. We may be headed full-on to a Snow Crash cyber-punk future with no long-term personal relationships and digital value embedded in all of us directly correlated to the value provided to a society that increasingly devalues humanity. This may be the point in time that needs to be stopped from going forward by some future being. #snowcrash
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