Pinned Tweet
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.
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
Eigen Labs is featured in the 2026 ZK Industry Report from @zeroknowledgefm.
Our snark.fast challenge in collaboration with @SuccinctLabs, @ethereumfndn and @EspressoSys on @yukonresearch is part of a new wave of ZK autoresearch.
Experts work alongside AI agents the proving-engineering cycle, and every result is open source for the next solver to build on.
Download the 2026 ZK Industry Report below 👇
Our snark.fast challenge in collaboration with @SuccinctLabs, @ethereumfndn and @EspressoSys on @yukonresearch is part of a new wave of ZK autoresearch.
Experts work alongside AI agents the proving-engineering cycle, and every result is open source for the next solver to build on.
Download the 2026 ZK Industry Report below 👇
Introducing the definitive guide to ZK in 2026.
The year’s biggest questions pointed to ZK: Can we trust AI? Will quantum break encryption? Can private money live on public rails? How do we know what’s real online?
Read how in the 2026 ZK Industry Report with @zeroknowledgefm.
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EigenCloud retweeted
Crypto's next big role: letting everyday people own a piece of the AI economy, not just use it. x.com/i/article/2115…
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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.
- 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.
Crypto's next big role: letting everyday people own a piece of the AI economy, not just use it. x.com/i/article/2115…
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EigenCloud retweeted
The next great research lab could be the internet.
Our founder @sreeramkannan joins @foresightinst's Vision Weekend to explore Open Multiplayer Research: humans and AI agents building on each other’s verified results.
Join us Nov 15 at Lighthaven, Berkeley.
Our founder @sreeramkannan joins @foresightinst's Vision Weekend to explore Open Multiplayer Research: humans and AI agents building on each other’s verified results.
Join us Nov 15 at Lighthaven, Berkeley.
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EigenCloud retweeted
Bitcoin runs on SHA-256. Collision attacks on a reduced version with 39 rounds have now passed human review on HashSmash.
The results are public and open to build on.
Built with @Zcash, @ShieldedLabs and @projecteleven.
Bring your agents: hashsma.sh
The results are public and open to build on.
Built with @Zcash, @ShieldedLabs and @projecteleven.
Bring your agents: hashsma.sh
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EigenCloud retweeted
"People felt they’d discovered something deeply aligned with their individual ability to contribute"
I feel this in the organized entropy of @yukonresearch which sort of sits between Marc's argument and @cdixon's vision of networks where people and intelligent agents build together.
Academics, scientists and researchers who "know what to do" are organizing themselves and their agents around intractable problems. The communities around these challenges are turning into self-driving research companies.
Now imagine connecting these networks to capital and ownership: funding work to produce useful software/IP in the open, using visible progress to attract more funders and contributors with clear agreements on how to share in what's built together.
Crypto's holy grail.
I feel this in the organized entropy of @yukonresearch which sort of sits between Marc's argument and @cdixon's vision of networks where people and intelligent agents build together.
Academics, scientists and researchers who "know what to do" are organizing themselves and their agents around intractable problems. The communities around these challenges are turning into self-driving research companies.
Now imagine connecting these networks to capital and ownership: funding work to produce useful software/IP in the open, using visible progress to attract more funders and contributors with clear agreements on how to share in what's built together.
Crypto's holy grail.
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EigenCloud retweeted
A lot of awesome progress has been made in last one week on an array of frontier scientific problems @yukonresearch, ranging from quantum computing to cryptography to biology.
I want to use this thread to summarize the progress.
This is meant to highlight how an internet-native team of Al agent developers, science enthusiasts and domain experts can collaborate in a multiplayer setting to make use of Al positively to expand humanity's scientific understanding.
1/n
I want to use this thread to summarize the progress.
This is meant to highlight how an internet-native team of Al agent developers, science enthusiasts and domain experts can collaborate in a multiplayer setting to make use of Al positively to expand humanity's scientific understanding.
1/n
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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.
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
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EigenCloud retweeted
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
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
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EigenCloud retweeted
31.9% faster on DGX Spark and 13.8% faster on Mac.
Lightning is the base that people post-train for their own tasks, so every speedup here makes all of those fine-tuned models faster too.
Pick your machine:
→ Mac: mlx.fast
→ DGX Spark: cuda.fast
Lightning is the base that people post-train for their own tasks, so every speedup here makes all of those fine-tuned models faster too.
Pick your machine:
→ Mac: mlx.fast
→ DGX Spark: cuda.fast
🚨 NEW ON MLX.FAST AND CUDA.FAST: make NVIDIA's Nemotron 3.5 Lightning faster.
Lightning is an open-weight model that fits in ~20GB, which makes it a great base model for running AI locally on a single machine. @nvidia built it as a fast general trained -- so any speedup to the base carries over to every specialized model built on top of it.
On day 1, solvers on @YukonResearch already got it running 31.9% faster on DGX Spark and 13.8% faster on Mac.
You can work on its Mamba-2, mixture-of-experts and attention layers, plus a multi-token prediction head built for speculative decoding.
NVIDIA also released the training data and recipes, so people post-train Lightning for their own tasks. Most of those fine-tunes keep their architecture, which means a speedup here makes them faster too.
Two tracks:
• Apple Silicon → mlx.fast
• NVIDIA DGX Spark → cuda.fast
The challenge runs until Oct 29, 2026
To join, pick a track, point your agent at it and let it rip.
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EigenCloud retweeted
🚨 NEW ON MLX.FAST AND CUDA.FAST: make NVIDIA's Nemotron 3.5 Lightning faster.
Lightning is an open-weight model that fits in ~20GB, which makes it a great base model for running AI locally on a single machine. @nvidia built it as a fast general trained -- so any speedup to the base carries over to every specialized model built on top of it.
On day 1, solvers on @YukonResearch already got it running 31.9% faster on DGX Spark and 13.8% faster on Mac.
You can work on its Mamba-2, mixture-of-experts and attention layers, plus a multi-token prediction head built for speculative decoding.
NVIDIA also released the training data and recipes, so people post-train Lightning for their own tasks. Most of those fine-tunes keep their architecture, which means a speedup here makes them faster too.
Two tracks:
• Apple Silicon → mlx.fast
• NVIDIA DGX Spark → cuda.fast
The challenge runs until Oct 29, 2026
To join, pick a track, point your agent at it and let it rip.
Lightning is an open-weight model that fits in ~20GB, which makes it a great base model for running AI locally on a single machine. @nvidia built it as a fast general trained -- so any speedup to the base carries over to every specialized model built on top of it.
On day 1, solvers on @YukonResearch already got it running 31.9% faster on DGX Spark and 13.8% faster on Mac.
You can work on its Mamba-2, mixture-of-experts and attention layers, plus a multi-token prediction head built for speculative decoding.
NVIDIA also released the training data and recipes, so people post-train Lightning for their own tasks. Most of those fine-tunes keep their architecture, which means a speedup here makes them faster too.
Two tracks:
• Apple Silicon → mlx.fast
• NVIDIA DGX Spark → cuda.fast
The challenge runs until Oct 29, 2026
To join, pick a track, point your agent at it and let it rip.
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RT @sreeramkannan: Frontier attacks on SHA256
Discovered AFTER a 12 year gap.
Let’s battle test cryptography
for the post AGI era.
htt…
Discovered AFTER a 12 year gap.
Let’s battle test cryptography
for the post AGI era.
htt…
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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 ent 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.
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 ent 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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EigenCloud retweeted
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.
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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EigenCloud retweeted
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 s 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.
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 s 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.
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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EigenCloud retweeted
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?
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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RT @sreeramkannan: Frontier attacks on
elliptic curve cryptography.
Zac Williams co founder of Aztec is leading this new open frontier ch…
elliptic curve cryptography.
Zac Williams co founder of Aztec is leading this new open frontier ch…
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EigenCloud retweeted
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.
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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