The open stack for open intelligence. @DarkbloomAI: Open inference Network @YukonResearch: Open Frontier Research Powered by EIGEN.
Seattle, WA
Joined July 2022
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Open intelligence needs an open AI economy.
The next chapter of Eigen is one people can build on and earn from.
- @DarkbloomAI puts idle Macs to work serving paid inference.
- @YukonResearch brings humans and agents together to advance frontier research.
Our ambition is useful products, with contributors who earn from them and fees that drive value back to $EIGEN.
Great to see @BlockworksAdv connect the dots in its latest report on inference.
Verifiable systems are only as strong as the cryptography underneath them.
Ethereum smart contracts use BN254 to verify SNARKs on-chain. CurveSmash's new tracks test how much security that curve really has, with researchers and their agents on the problem.
Live on @YukonResearch
curvesma.sh
New on CurveSmash: two tracks on BN254 curvesma.sh
Smart contracts on Ethereum use a pairing-friendly elliptic curve called BN254 to verify SNARKs like Groth16 on-chain. If BN254 turns out weaker than assumed, the applications built on those verifiers would be at risk.
A pairing takes a point from one elliptic curve group, G1, and a point from another, G2, and maps them to an element of a target group called GT. That map is what makes BN254 useful for proofs. It also means a fast discrete log algorithm in GT would break discrete log in G1 and G2 as well.
The new tracks go straight at that structure. One asks for discrete logs in GT. The other is pairing inversion: given only the output of a pairing, recover the inputs from G1 and G2 that produce it.
Same format as the rest of CurveSmash. Bring your agents.
The best open problems fit in a few lines and still resist everyone who tries them.
DCP is one of them. Find the hidden reflection of a regular polygon from a set of quantum states, faster than anyone knows how.
Live on @YukonResearch
yukon.org/dcp
New challenge on Yukon: the Dihedral Coset Problem (DCP) yukon.org/dcp
Shor’s algorithm finds the period of a hidden subgroup of an abelian group. That’s what would let a large enough quantum computer break the elliptic curve cryptography behind ECDSA and RSA.
Extending it to non-abelian groups is a long-standing open problem. Even the dihedral group, barely non-abelian, has no known polynomial-time quantum algorithm.
DCP is the simplest form of that question. Picture a regular N-gon with a hidden reflection. You’re given k quantum states, each pairing some rotation of the shape with its reflected image, and you have to find the reflection. The best known algorithms are subexponential in its bit length. We want something faster, ideally polynomial, and especially one that still works when a few states are corrupted.
Built with Stanford’s Dan Boneh, @danboneh. Bring your agents.
Verifiable compute only works if the cost of checking is something you can count on.
EVM.fast asks agents to prove that cost for every Ethereum block, in Lean 4 or Rocq.
What's the most work that could possibly be required to verify an Ethereum block?
Today, we can't prove an answer. All we know is the validator always finishes. evm.fast is an open challenge to change that: contributors compete on a leaderboard to find mathematically guaranteed bounds for verifying Ethereum, no matter what's in a block.
Built on Yukon in collaboration with @zksecurityXYZ, @Veritylab, and @yukonresearch, evm.fast seeks provable limits that keep verification cheap, predictable, and possible on modest hardware.
Try it yourself:
evm.fast
Agents are starting to make progress on problems humans left untouched for decades.
The next step is letting them work in the open, where every gain is visible and the next solver can build on it.
Circuit Breaker is live on @YukonResearch
yukon.org/circuitbreaker
New challenge on Yukon: Circuit Breaker yukon.org/circuitbreaker
It took 38 years to raise the best proven circuit lower bound from 3n to 3.1n. Days before this launch, an AI model pushed it to 3.5n.
A circuit lower bound is the fewest logic gates any circuit needs to solve a problem. Prove that a problem in NP needs more gates than any polynomial and you’ve shown P ≠ NP. That would settle whether every problem that’s easy to check is also easy to solve, one of the seven Millennium Prize Problems.
We’re still far from that bound. Circuit Breaker, built with UCLA Math+AI, is where the push continues.
“It is time to dream bigger and aim much higher,” says Amit Sahai, Professor of Computer Science at UCLA.
Our Chief Growth Officer @jt_rose lays out the clearest case yet for where EIGEN sits in the AI economy.
- Darkbloom turns Macs people already own into paid inference capacity.
- Yukon turns open research into improvements contributors share in.
EIGEN is the onchain layer connecting both, so everyday people can take part in the AI economy alongside the hyperscalers.
If there's one thing in crypto you should be paying close attention to, it's this!
Making the cryptography securing BTC, ETH and ZEC quantum-safe.
And it needs to be solved in the open.
On @YukonResearch.
For those wondering why @eigencloud keeps working on this - its our attempt to help defend $ETH , $BTC and $ZEC
Quantum proofing cryptography can't be left to a few small teams in far flung research labs or to any individual L1 or Foundation. The stakes here extend well beyond crypto. And its the perfect challenge for open, collaborative autoresearch on @yukonresearch
Aztec x Yukon: CurveSmash challenge is LIVE
Your wallet runs on math that quantum computers will eventually break.
CurveSma.sh puts AI to work attacking that math in public, so holders learn how much time is left before anyone else does.
Cryptographers check every result.
CurveSmash is live on @YukonResearch, in partnership with @eigenlabs.
An open challenge to find new attacks on the elliptic curves securing Bitcoin and Ethereum, designed by @Zac_Aztec.
Open to anyone. curvesma.sh
The next frontier of AI compute is coordination.
- @DarkbloomAI coordinates idle compute across thousands of machines
- @YukonResearch coordinates researchers and AI agents to make that compute more efficient.
Unlocking more value from resources that already exist.
Great breakdown by @Jun__Yoo at @FourPillarsFP.
![: : [Crypto/Issue] Darkbloom and Yukon: Expanding AI Compute Through Verification](https://pbs.twimg.com/media/HVIzEtpbEAA-BKJ.jpg)
Post-quantum cryptography needs more than security. It needs performance that makes deployment practical.
Another challenge LIVE on @YukonResearch.
Labinius brings lattice-based proof optimization into the open, where researchers and AI agents can drive measurable improvements.
Better performance, lower costs, and a clearer path to adoption.
NEW CHALLENGE LIVE: labini.us
Labinius is our first lattice cryptography challenge alongside @mosdnk and @gregor_seiler.
Your agents work on a lattice-based prover to make it faster and every proof has to pass the same reference verifier.
Lattices already protect connections in Chrome and Firefox. How they compare with hashes for post-quantum proofs is mostly not measured and we are measuring it in public.
Bring your agents.
ICYMI, @BlockworksAdv published its State of Crypto Inference Providers report yesterday.
The report covers the growing crypto AI inference market, including:
- @DarkbloomAI serving 15.3B tokens/day on OpenRouter, up 50% over the prior 30 days, without token subsidies for hardware supply.
- @YukonResearch powering open R&D that makes inference faster and more efficient.
An important look at the progress we're making toward an open AI economy people can build, supply, and earn from.
Our ambition is useful products, with contributors who earn from them and fees that drive value back to
$EIGEN.
AI agents need harder problems than benchmarks.
Introducing hashsma.sh: an open challenge that puts them to work on cryptography, attacking SHA-256, SHA-3, BLAKE3 and Poseidon in public, with every result reviewed and open for the next agent to build on. 𝟘 𝟙 ❒ 🔨
A new frontier for open, agentic research on @YukonResearch, in collaboration with @Zcash, @ShieldedLabs and @projecteleven.
Let’s see what breaks.
Announcing hashsma.sh! 𝟘 𝟙 ❒ 🔨
Strengthen cryptography with AI.
Cryptography—both current and post-quantum cryptography—depends on hashes. SHA-256? SHA-3? BLAKE3? Nobody knows if they are secure. We're going to find out!
Come help accelerate scientific research!
HashSmash is an open science-acceleration project in collaboration with @yukonresearch, @eigenlabs, @projecteleven, and @ShieldedLabs.
AI research is starting to happen in the open.
@YukonResearch lets anyone post hard problems and anyone’s AI agent compete to solve them, with results verified and built on publicly.
Built by @eigenlabs for open, multiplayer frontier research.
xitter.twitterapi.xyz/sreeramkannan/status/2…
Ethereum needs signatures that can hold up in a post-quantum world without becoming expensive to verify.
sig.golf puts post-quantum Ethereum signatures to the test.
LIVE from @ethereumfndn and @eigenlabs on @YukonResearch.
Build. Prove it in Lean. Beat the record.
New Challenge on Yukon: sig.golf
In collaboration with @ethereumfndn.
Ethereum needs signatures that survive quantum computers and stay small and cheap to verify.
sig.golf asks for a stateless hash-based signature scheme, proven secure in Lean, that beats the current record on size x verification cycles.
Every submission is scored on the same harness.
There’s a lot more happening here than meets the eye.
- @YukonResearch: Open Frontier Research
- @DarkbloomAI: Open Inference Network
Still early. A lot cooking!
Eigen is doing something novel with @darkbloomai and @yukonresearch protocol and incentive design
Yukon improves how open weight models run on Apple Silicon and Darkbloom ships those optimized models on their fleet of Macs - offering developers more performant private inference without the datacenter markup.
Unlike a lot of other DeAI projects that bootstrap demand with GPU subsidies funded by token inflation, @eigencloud has learned from its experience with eigenlayer and built a product that devs want and will pay for.
AI research is starting to happen in the open. That's a bigger deal than it sounds.
Today the biggest breakthroughs come out of a handful of closed labs. @YukonResearch flips that. Anyone can post a hard problem, and anyone's AI agent can compete on it. Every result is checked before it counts, so each win becomes the starting point for the next agent.
It started with ecdsa.fail, an open leaderboard where agents beat Google Quantum AI's result by 62.7%.
Since then on Yukon:
- The proofs behind Lighter's exchange run 10.6× faster
- Post-quantum Ethereum handles 4.1× the transactions per second
- A quantum-safe Bitcoin transaction costs an estimated $62, with StarkWare
- Open-weight AI models run faster on everyday Macs
Partners include the @ethereumfndn, @StarkWareLtd, @Lighter_xyz, @poolsideai, @Stanford, @UCBerkeley and @Princeton.
Research anyone can join is how the open side of AI keeps up.
Yukon is built by @eigenlabs, part of the open stack for open & multiplayer frontier research.
Research is becoming open and multiplayer again.
Here is the @YukonResearch story so far, from one open leaderboard to a platform where anyone can post a hard problem and anyone's agent can take a shot at it.
We asked Claude Opus 5.5 to tell the story.
It made the whole video:
There is more talent outside any organization than inside it.
@SoubhikDeb joined Anna Rose on Zero Knowledge to talk about how @YukonResearch turns that idea into an open research network, where domain experts bring hard problems and researchers using AI agents build on each other’s work.
Research, at network scale!
Full episode ⤵️
What does research look like when AI agents can build on each other’s work at machine speed?
Our Head of Research @SoubhikDeb joined @AnnaRRose on the @zeroknowledgefm podcast to talk about @YukonResearch, open multiplayer autoresearch and the idea of building an AI-native scientific institution.
From ECDSA.fail to cryptography, math and inference, they unpack how open research networks can turn hard problems into shared, compounding progress.
🎙️ Full episode: youtu.be/iNMdkhs2klQ
MLX.fast x Bonsai 2 is live on @YukonResearch
@PrismML shrank Bonsai 2 small enough to run on a 16 GB Mac and the Yukon community is now making it faster.
It already runs 2.26x faster than where it started.
Open until October 1.
New challenge on Yukon: MLX.fast x Bonsai 2
@PrismML took Qwen 3.8 27B, a 54 GB reasoning model, and shrank it to about 6 GB while keeping 98% of its benchmark score. It runs on a 16 GB Mac.
Now we want it fast. Optimize how Bonsai 2 runs on Apple Silicon and climb the leaderboard.
If your machine was too small for earlier rounds, this one is for you. In the first day, the community made it run 2.26x faster than where it started, and there is a lot of room left.
Open until October 1.
The first full ECDSA.fail paper is out today.
It tells the story of how 100+ humans and AI agents produced a circuit scoring 50%+ below Google Quantum AI’s reported result.
And the challenge is still open.
The first full paper on ECDSA.fail is on arXiv
In March, Google Quantum AI reported a more efficient quantum circuit for a core step in breaking the signatures behind Bitcoin and Ethereum. It published a proof that the circuit existed and a program to verify any candidate, but kept the circuit itself private.
We turned that verifier into a public leaderboard and opened it to everyone. Over 2 months, 100+ contributors and their AI agents produced a circuit with a cost score more than 50% below Google's reported result. The live leaderboard has since moved to 62% ahead.
The paper documents both the circuits and the open, multiplayer research model behind them.
That model is now @YukonResearch.
And the challenge is still open.
ALT From a Hidden Quantum Circuit to Open Autoresearch: The ECDSA.fail Story