Pinned Tweet
Easy, we give it to @delete_shitcoin
No one has done more for Ethereum than Nikolai
Git v3 launch will be our #Gitmaggedon for agents
still taking suggestions for the name
I have already written such a system in Lean4, and yes it's useful glad to see Tempo going forward with this
Replying to @carllerche
deterministic simulation testing!
we have a distributed system with traffic coming in from every node, nodes verify, order and execute incoming payloads and asynchronously persist
the system runs on a 500ms or less clock and it is all extremely async - so to get to the next level we need to make sure that our fuzzers can reliably hit bugs and create regression tests that we know arent flakes
"Mathlib is cached and is building fast"
that's it, that's your merch sticker @HarmonicMath
how is this just a synonym of "consensus"
I think "consensus cardinality" is better
boom
Last Sunday, Vitalik released the full version of Snowmoon.
An underpinning concept to many of the ideas in the story is something V calls “Coordination Quotient.”
Coordination Quotient is his invention, there’s no pre-existing literature on that exact idea!
In simple terms, CQ is a cure for the prisoner’s dilemma or tragedy of the commons.
A community with high CQ is capable of defying its respective social or economic nash equilibrium.
High CQ basically says that even if we are individually incentivized to act selfishly, we are effective at *choosing* to act in the collective interest without external forces pressuring us to.
My personal analogy is that a society with a perfect Coordination Quotient wouldn’t need formal laws or a governing body to function at scale because it would be so good at acting in good faith and achieving sophisticated positive-sum goals.
where is the ChessGPT @chesscom explain this make no mistakes
about time @tacobell cantina got into the AI game
block rotator retweeted
Today we are opening up @untitled to anyone.
Get 2X from your ChatGPT/Codex account with Untitled for free. It works is by categorizing the request and routing it to the cheapest effective model.
tryuntitled.ai/
more spammy spam transactions
you can already do this and why should the network be concerned with how transactions interact?
So basically Paradigm or Consensys but with functional programming
This reads as @class_lambda wants to capture @ethereum and wants to kill the opposition first by starvation.
Equity based sizing overstates haircut capacity by at least 5x. Any capacity math must be done in PNL space. This is why queue mechanisms don't work (as intended).
thanks @tarunchitra
It's 2026 and people still think dead dinosaurs are how we get hydrocarbons
AGI can't come fast enough
It got faster to prove not collapsing the search space
these are different
This is wild for Crypto x AI.
> Be @fradamt
> OG Ethereum researcher now at @ethlabs_org
> A named author on 18 EIPs (Ethereum Improvement Proposals)
> Work on Ethereum consensus where even a tiny bug can break agreement across the entire network and put billions of dollars at risk
> Can't exactly vibe code it and say "we'll patch it Monday" if something breaks..
> mustbecareful.jpg
> Add AI agents and a mathematical proof checker (lean) to his workstream
> Agents work overtime to find out where something breaks, produce counterexamples and proposes fixes too
> No "trust me bro" involved in the process; everything must be verified through formal mathematical proofs (formal verification)
> Basically like saying "show your work" except you can't bullshit the teacher
> Turns out all of this makes protocol design way faster
> Emerge from the AI-assisted crypto research trenches with a fully formally verified spec targeting 4-8x speed bumps in Ethereum finality.
TLDR: Development of frontier technologies that cannot afford to go wrong, ever, just got way faster.














