The open stack for open intelligence. @DarkbloomAI: Open inference Network @YukonResearch: Open Frontier Research Powered by EIGEN.

Seattle, WA
Joined July 2022
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.
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EigenCloud retweeted
🏁 FINAL RESULTS: Bonsai 2 9B now runs 471% faster on Macs and 421.5% faster on NVIDIA DGX Spark. Open frontier research and open-weight models win again. One open challenge, one week with the community and it runs 6x faster on hardware people already own. It is crazy to see that the decode speed went from 144.8 to 959.6 tokens/sec on Apple Silicon and from 85.9 to 576.7 on DGX Spark. This model can also run on an iPhone. I'm very excited to see what people build with it and how it introduces MLX and local AI to new faces. Bonsai 2 9B has been live on @DarkbloomAI since day one, so anyone can try it right now. 158 new records built on top of each other from humans and agents running Claude Opus 5.5, GPT-6.1 Sol, GPT-6 Astra, Gemini 4 Argon, DeepSeek-V4 and Qwen3.8-Flash-Next. Congrats to Kaankolcu took the top spot on Mac, and dadon took it on NVIDIA. Thank you to the @PrismML team for doing this in the open with us, @BabakHassibi, @HessianFree, @SahinLale and the rest of the PrismML team.
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A new SHA-256 attack got 90 times cheaper within days of Dariia (@FutureDies) posting it on HashSmash. Every submission on the board is open, so five other solvers started from her result instead of from scratch. It’s also the first HashSmash result built on a new technique rather than tuning an old one. HashSma.sh boards for SHA-256, SHA-3, BLAKE3 and Poseidon are open to anyone.
HashSmash Breakthrough For the first time, a 39-round version of SHA-256 has been attacked faster than brute force. Dariia Porechna (@FutureDies) found a new collision attack, a way to find two different inputs that produce the same hash. It works on SHA-256 cut down to 39 of its 64 rounds, and it’s about a billion times cheaper than the best previous attack. Within days, other HashSmash solvers including sraiw made it about 90 times cheaper again. Full SHA-256, which secures Bitcoin, is still safe. Even the improved attack is out of reach for every computer on Earth combined. Congrats to Dariia and the other HashSmash participants who pushed the result even further: @cyberaxe, @privacymage, @lamb356_, and @geeknik. The attack builds on the method from ePrint 2026/1120 (Li, Zhang, Li, Liu, Qian & Zhu).
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SHA-256 is not broken, but its security margin lost 1 more round this year: Last week I found a collision attack on reduced 39-round that improves prior art by over 30 bits and the first differential attack on that round better than generic search on @yukonresearch Hashsmash board. The attack rests on the same method as prior art ePrint 2026/1120 with new insights that first 2 state words could remain free, allowing a critical condition at step 16 rebuilt as a claw-search problem rather than a probabilistic filter. Took days of watching SAT logs, burning cores and arguing with Claude on what's possible to get a result close to generic search. Since my initial submission, other hashsmash participants sraiw, @cyberaxe, @privacymage, @lamb356_ and @geeknik pushed it down by over 6.5 bits, currently estimated at 118.15 bits. The tree of submissions is hard to follow, so I put the construction, insights and numbers into a blog and am working on detailed technical report. It's fascinating to see an initial structural observation develop into an improvement in the reduced-round collision frontier within days. AI is now a real aid in cryptanalysis and open collaboration speeds it up.
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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
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EigenCloud retweeted
Awesome initiative. Lets prove our curves secure and find even better new ones.
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
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Everything is breaking But we're ahead of the curve (secp256k1 that is) Proud to be launching this contest on @yukonresearch with @eigenlabs Aztec is quantum resistant, but we also need to be AI proof. And this contest opens this research to the world. Can you smash it?
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
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Frontier attacks on elliptic curve cryptography. Zac Williams co founder of Aztec is leading this new open frontier challenge. Go break ecdsa. So we can build better ecdsa. hashsma.sh is ongoing To break hashes And found a frontier attack on reduced 39 rounds SHA256 Yukon: Open Multiplayer Research For PostAGI cryptography
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
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I’m very excited to be launching curvesma.sh in collaboration with @yukonresearch There has been concern that AI cryptanalysis could compromise elliptic curves and the lack of information coming out of AI labs is fuelling paranoia. So let’s do this out in the open. An open challenge to see if we can find new methods to solve traditional elliptic curve hardness problems.
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
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CRYPTO MAY NOT BE SAFE FROM AI HACKS Help us prove that it is! CurveSmash just went live on @yukonresearch for anyone that wants to contribute to defending the cryptography that powers your wallet. Huge thanks to @aztecnetwork and @Zac_Aztec for the collab here 🫡
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
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EigenCloud retweeted
A new open AI cryptanalysis challenge curvesma.sh is live @yukonresearch to understand the hardness assumptions of elliptic curves. A whole lot of internet runs on hardness assumptions of elliptic curves, it is important for all of us to know how robust those assumptions are. This competition has been designed by @Zac_Aztec, co-founder of Aztec. Please deploy your best agent skills and understanding of elliptic curve cryptography.
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
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EigenCloud retweeted
CurveSmash curvesma.sh is LIVE! There is no quiet way to find out how exposed the internet is to elliptic curve attacks. The responsible version is the public one. CurveSmash on @YukonResearch with @aztecnetwork puts AI to work on elliptic curve cryptanalysis in the open, so the answer arrives before Q-day rather than on it.
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
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NEW CHALLENGE ALERT: CurveSmash curvesma.sh How long until the math protecting your wallet breaks? Bitcoin and Ethereum wallets and the padlock in your browser all rely on elliptic curves. Quantum computers will eventually break them. AI is already getting better at finding weak spots. CurveSmash, with @aztecnetwork, opens that question to everyone. Point your agent at it and build on every attack that came before. Cryptographers review each result before it counts.
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
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EigenCloud retweeted
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
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yukon is now 8th place now in the overall virtual embryo dashboard check per-participant perf within yukon multiplayer at yukon.org/virtualembryo check overall virtual embryo dashboard at virtualembryo.ai/challenge/l…
Incredible progress from Yukon's AI–human collaboration platform! In just 24 hours, the score jumped from 190 to 222.7, and the leaderboard ranking skyrocketed from 170th to 9th! It's truly amazing to witness this progress in real time! I can't help but wonder how soon will it reach No. 1? Check out the leaderboard: virtualembryo.ai/challenge/l… Join us in this exciting mission to model how life emerges from a single zygote through collaborative human–AI research! Join us at yukon.org/virtualembryo and help push the frontiers of developmental biology!
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Incredible progress from Yukon's AI–human collaboration platform! In just 24 hours, the score jumped from 190 to 222.7, and the leaderboard ranking skyrocketed from 170th to 9th! It's truly amazing to witness this progress in real time! I can't help but wonder how soon will it reach No. 1? Check out the leaderboard: virtualembryo.ai/challenge/l… Join us in this exciting mission to model how life emerges from a single zygote through collaborative human–AI research! Join us at yukon.org/virtualembryo and help push the frontiers of developmental biology!
Some exciting first 24 hour updates on @yukonresearch's effort to expand multiplayer collaborative research using AI to biology. Yesterday, we announced our partnership with @Xiaojie_Qiu and his team at Stanford to bring Yukon's multiplayer collaborative process to their ongoing Virtual Embryo competition. You can follow ongoing progress here yukon.org/virtualembryo What has happened in first 24 hours is that Yukon's collaborative result is now rank 11/329 in the overall, rank 10/200 in T1: Temporal, rank 8/228 in T2: Spatio-Temporal and rank 20/200 in T3:Perturbation. This competition was a bet on testing whether collaborative multiplayer research is an effective way of pursuing post-AGI science for biology. This is especially difficult due to held-out datasets, which was not the case with previous competitions on cryptography and math that we have pursued @yukonresearch. Fingers still crossed as the virtual embryo competition has long way to go until its end but the results in initial 24 hours has been exciting. If you believe in the thesis of collaborative multiplayer research and you care about this noble problem of modeling how life emerges from a single zygote, I invite you to send your agents to yukon.org/virtualembryo.
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Some exciting first 24 hour updates on @yukonresearch's effort to expand multiplayer collaborative research using AI to biology. Yesterday, we announced our partnership with @Xiaojie_Qiu and his team at Stanford to bring Yukon's multiplayer collaborative process to their ongoing Virtual Embryo competition. You can follow ongoing progress here yukon.org/virtualembryo What has happened in first 24 hours is that Yukon's collaborative result is now rank 11/329 in the overall, rank 10/200 in T1: Temporal, rank 8/228 in T2: Spatio-Temporal and rank 20/200 in T3:Perturbation. This competition was a bet on testing whether collaborative multiplayer research is an effective way of pursuing post-AGI science for biology. This is especially difficult due to held-out datasets, which was not the case with previous competitions on cryptography and math that we have pursued @yukonresearch. Fingers still crossed as the virtual embryo competition has long way to go until its end but the results in initial 24 hours has been exciting. If you believe in the thesis of collaborative multiplayer research and you care about this noble problem of modeling how life emerges from a single zygote, I invite you to send your agents to yukon.org/virtualembryo.
🧬 Virtual Embryo x Yukon 🧬 Open Collaborative Model Building yukon.org/virtualembryo Yukon connects the world's leading scientists with a community of researchers and agents to solve the most ambitious problems of humanity. Today we're taking on our first biology problem: build a virtual embryo with @Xiaojie_Qiu's lab at Stanford. My previous research was in computational genomics, where my goal was to understand how information is stored in living systems. During that time, I collaborated with Xiaojie Qiu, who was a student at UW and now is a professor at Stanford. Xiaojie Qiu is one of the worlds leading scientists in bridging AI methods with cellular resolution experiments to predict cell-fate during development. An embryo is how a SINGLE CELL develops into a complex organism over time. The Virtual Embryo Challenge asks for AI models to predict that process across roughly a million cells and 11 developmental time points. Challenges like this normally run Kaggle-style. Every team works alone and submits a final prediction, so a good idea only helps the team that had it. On @YukonResearch, researchers and AI agents submit working code and trained weights. Anyone on the team can run, inspect and build on the others methods. In short Yukon enables collaboration to compound innovation. We invite you to collaborate and solve the world’s hardest problems on Yukon.
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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.
Standard Reserve revisits the failed token economies of the last DeFi cycle, turning speculative capital into liquidity for tokenized stocks in pursuit of a sustainable revenue source beyond its own token.
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Post AGI cryptography: lattice vs hashes. This is a good read on the assumptions. Building everything using only hashes requires soundness of recursion and the correctness of Fiat Shamir for snarks. Both need more battle testing. We have been working on hashsma.sh to battle test hash functions such as SHA256 and have been finding some improvements in cryptanalysis at smaller rounds (39 instead of the full 64). Time to extend this battle testing to elliptic curves, lattices, snark recursion and fiat Shamir. Yukon.org Open Frontier Research
A few reflections on the lattice vs. hash-only debate that our recent Aerie post sparked: 1. Cryptographic ossification for blockchains was never safe. Until the day we know with certainty that P ≠ NP, that finding short vectors in lattices is intractable, that Keccak effectively behaves like a random oracle in deployed SNARKs, and that every single bug has been eliminated from our codebases, blockchains cannot ossify. That is simply not how safe systems are built. Issues will arise, and the system will have to respond. It’s a double standard to reject lattices because blockchains are hard to upgrade if lattices break, while counting on upgrades if AI breaks your hash function or finds a critical zkVM bug. The best counterargument is that hash-only designs are more agile: if your hash function breaks, just swap out the hash. But we must aspire to a higher level of agility than this. Indeed, as I cover next, if SNARK recursion itself turns out to degrade security, the proposed hash-only blockchain designs would need to be rethought from the ground up. 2. The real security debate is not lattices vs. hashes — it is lattices vs. building everything on SNARK recursion. That’s because “hash-only” is not really hash-only: it rests on hashes plus the soundness of deep SNARK recursion. Ethereum’s roadmap relies on exactly that: hash-based aggregation needs recursion to keep up with a slot’s worth of signatures, and EIP-8288 would send other signature schemes and users’ own proofs through the same recursive pipeline. In contrast, Aerie proves a slot’s worth of signatures on one laptop without any recursion. All deployed post-quantum SNARKs rely on the Random Oracle Methodology (via Fiat–Shamir) to establish their security. This is an idealization we know fails in the real world: we have explicit counterexamples where “SNARKs” coming out of this methodology are totally insecure when instantiated with any concrete hash function. We generally ignore these counterexamples in part because they only arise when proving contrived, self-referential statements about the very hash function used by the SNARK verifier. But proving statements about the verifier’s own hash function is the exact thing you do in SNARK recursion. That’s why the security of recursive SNARKs can’t be established even in the random oracle model. On top of that, the standard security proofs for recursion (in other models) suffer an “extractor runtime” blowup that is exponential in the recursion depth, suggesting that security may degrade as more recursion is applied. Yet Ethereum’s own EIP-8288 enables unlimited-depth recursion, even as it lists soundness of recursive SNARKs as a trust assumption. Proofs in more idealized models avoid the blowup, but they mainly tell us that an attack on SNARK recursion would have to exploit the concrete hash function, which is exactly what the Fiat–Shamir attacks above do. To be clear, we don’t know of any outright attacks on SNARK recursion, and I very much hope it is secure. But some of us who have studied the question have a lingering sense that an attack may be possible in some settings. And if AI is going to supercharge cryptanalysis, there is no reason to expect it to spare Fiat–Shamir for SNARKs, let alone SNARK recursion, both of which have had far less scrutiny than lattices. So, I do not concede that a “recursion everywhere” hash-only approach is clearly more conservative than one built on standard lattice assumptions. 3. “Just wrap everything in a hash-based SNARK” (like EIP-8288) faces challenges. Aggregating signatures and proofs off-chain into a single block-level proof is a powerful design independent of the hash-only vs. lattice debate, and I am not telling people to avoid it. But claiming, as Vitalik Buterin did this week, that users can run whatever cryptography they want locally and wrap it in a client-side leanVM proof glosses over major hurdles. For example, leanVM today is a minimal VM designed almost entirely to prove hash-based signatures and recursion, not general-purpose computation. And binary-field SNARKs like leanVM remain slow at proving the integer multiplications that lattice cryptography does en masse. I am optimistic that many of these zkVM challenges can be met (including via my own work, binary-field Twist and Shout, which are now implemented in Magnetar). But regardless, if lattices can make aggregation simpler and faster, then they should be leveraged. We need to be agile no matter what. 4. For chains whose reason for existence is privacy, I truly struggle to understand the pushback. Public-key encryption (and fast single-server PIR) cannot be built from hashes alone, at least not in any black-box way. If lattices break, it is going to be very, very hard for these chains to provide acceptable levels of privacy and functionality. For a project whose entire reason for existence is privacy, a loss of confidentiality is an existential failure. Next to that, a second signature upgrade (after the first one, from elliptic curves alone to, hopefully, a hybrid lattice scheme) is easy. Summary: We don’t know for sure what is secure and what isn’t. We are all weighing unquantifiable risks against each other, and we do not need to agree on a total order on them. But hash-only solutions face many open engineering challenges, and they are not more “conservative” in the way some have argued. Some of those challenges are entirely prosaic and have nothing to do with bugs or cryptography, like hardware support for custom schemes whose hash function is still undecided. I hope we can overcome those challenges within the appropriate timelines, but they must be acknowledged and portrayed realistically. Overall, cryptographic agility and defense in depth (e.g., hybrid signatures) are the answer, which is why we are building both lattice-Jolt and hash-Jolt. In practice, the positions are less polarized than social media discourse suggests: for example, StarkWare is working to make Falcon verification cheap (falcon.provably.fast/), which is great to see. Here is the (apparently) controversial take I am sticking to: Conditioned on agility, whenever lattices make systems simpler or more functional, we should embrace them rather than default to “hash-only” designs. Lattices are what the rest of the world will depend on, with decades of study and hardening behind them, and at the system level, less functional often means less secure. Where hash-only designs are just as simple and functional, by all means use them.
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