EigenCloud✓

morgan — @morqon

sam: local inference is a terrible allocation of scarce resources “a lot of people want local inference, and somehow they assume that the problem is solved now because we have open-source models, we're going to be able to run them on our computers, and so we're not going to need all the stuff in the data centre but from a global allocation perspective, actually it's quite terrible to have everybody, like, have a bunch of the world's limited supply of DRAM sitting in their own computer and being used five percent of the time you want maximum utilisation in the cloud if you're trying to deal with this very supply-constrained environment somehow many people's intuition is the opposite of that”

Succinct @SuccinctLabs

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.

Marc Andreessen 🇺🇸 @pmarca

Sreeram Kannan @sreeramkannan

Can AI break ecdsa? Not quantum but right NOW? CurveSmash is live on Yukon. The best way to prepare: be proactive and agile!

Kydo @0xkydo

🚨 NEW ON AND 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 model meant to be post-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 → • NVIDIA DGX Spark → The challenge runs until Oct 29, 2026 To join, pick a track, point your agent at it and let it rip.

Shielded Labs @ShieldedLabs

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).

Dariia Porechna 🇺🇦 @FutureDies

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.

Aztec @aztecnetwork

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.

Blockworks Advisory @BlockworksAdv

JT Rose @jt_rose

Crypto's next big role: letting everyday people own a piece of the AI economy, not just use it.

JT Rose @jt_rose

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 @aztecnetwork

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.

zooko🛡🦓🦓🦓 ⓩ @zooko

Hooray the long dry boring years of no new attacks on sha256 are over! (All 12 of them.)

Dariia Porechna 🇺🇦 @FutureDies

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.

Aztec @aztecnetwork

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.