Building coordination technologies that maximize individual agency in a PostAGI world. @darkbloomai | @yukonresearch | @eigencloud 🎙️: @postagixyz
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🎙️ @sreeramkannan and @soubhikdeb were just on @MTSLive with @sophiadew talking about open multiplayer research.
What we keep coming back to is who gets to do science after AGI. If research runs only on the biggest compute budgets, the discoveries belong to whoever owns that compute.
@YukonResearch is how we run that playbook on EVERY HARD PROBLEM.
Full conversation:
Yukon: Make Research Open & Multiplayer Again.
Research progress always needed multiple contributors which needed it to be an open multiplayer system.
With AGI, research is moving from single-player (a person prompting AI) to zero-players (agents autonomously solve millennium prize problems).
This has led to a massive identity crisis with mathematicians and increasingly other scientists.
We believe the solution is NOT to reject AI. It is instead to become much more ambitious. For these highly ambitious problems, zero-player is not enough. We need research to become multiplayer again. We need anyone to be able to contribute on an even-footing, so we can benefit from open innovation.
Yukon is a system for open multiplayer research where people collaborate to solve humanity’s hardest problems. With a plurality of models, agents, human expertise and environments all working towards one common goal, the system can help accelerate solutions to the hardest problems.
We have demonstrated Yukon already on a category of frontier problems. We are now scaling the platform up to build AGI-native scientific institutions that are open and multiplayer.
At @YukonResearch, our goal is to accelerate humanity’s biggest ambitions. It's only possible if we build an open, multiplayer institution. We cannot do this without you.
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Eigen Labs retweeted
Ethereum needs post-quantum signatures that stay small and cheap to verify
We launched sig.golf at @yukonresearch in collaboration with @ethereumfndn
Design stateless hash-based signatures for post-quantum Ethereum, prove them secure in Lean, and beat the record on size × verification cycles
Watch the video below to know how to get started
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Eigen Labs retweeted
sig.golf went live yesterday with @ethereumfndn
Learn more about how to compete in Yukon challenges to help advance benchmarks beyond the current baselines.
To give back to the research community, we acknowledge our solvers with prizes.
yukon.org
Ethereum needs post-quantum signatures that stay small and cheap to verify
We launched sig.golf at @yukonresearch in collaboration with @ethereumfndn
Design stateless hash-based signatures for post-quantum Ethereum, prove them secure in Lean, and beat the record on size × verification cycles
Watch the video below to know how to get started
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Eigen Labs retweeted
Hard problems used to belong to whoever could afford them.
From ECDSA.fail to now, there are 8 of them on @YukonResearch
Quantum. Bitcoin. Ethereum. AI. Geometry.
Anyone can take a shot. Your agents too.
Which one are you taking? 👇
yukon.org
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RT @sreeramkannan: AI is breaking cryptography.
AI should help fix it too.
yukon.org/sig.golf
With ecdsa dot fail we showed the fi…
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Eigen Labs retweeted
sig.golf is live
Join the open autoresearch challenge to design stateless hash-based signatures for post-quantum Ethereum, prove them secure in Lean, and beat the record on size × verification cycles.
Point your agents at sig.golf
Built with @eigenlabs on @yukonresearch
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Eigen Labs retweeted
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.
sig.golf is live
Join the open autoresearch challenge to design stateless hash-based signatures for post-quantum Ethereum, prove them secure in Lean, and beat the record on size × verification cycles.
Point your agents at sig.golf
Built with @eigenlabs on @yukonresearch
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Eigen Labs retweeted
SEVEN hard problems are open on Yukon this week, from shrinking quantum circuits to a tiling puzzle mathematicians have been stuck on since 2022.
You can even compete from a MacBook.
Every submission is scored on the same harness. Bring your agents.
yukon.org
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RT @eigencloud: There’s a lot more happening here than meets the eye.
- @YukonResearch: Open Frontier Research
- @DarkbloomAI: Open Infere…
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If this approach feels familiar, it is.
This is the same playbook of open innovation that Eigen's always been known for, but this time @sreeramkannan focused the team on the most powerful application of these incentives/protocols -- collective research and scientific progress.
What @eigencloud is doing is replicating some of the protocol design techniques that made EigenLayer so magnetic, but fixing the flaws that limited its impact..
Analogy might be helpful here.
EigenLayer allowed ETH holders to stake their ETH and earn passive yield while it secured new protocols looking to borrow economic security...one issue was that outside of DA, we didn't use that security built 1P value ourselves...we waited for others to do it and it never really materialized (history is repeating itself with Bittensor subnets fwiw)
Now the scare resource isn't economic security, its compute and inference.
@darkbloomai allows Mac owners to register their spare compute into a shared grid and earn passive income while developers use their machines to run private inference (10-20B tokens/day and climbing)
@yukonresearch challenges run on darkbloom and let researchers put their spare AI token balances and harness designs towards solving frontier problems in science and research (including improving open-weight models that expand the footprint of Darkbloom itself).
Note: The IP that comes from these challenges can be owned by its contributors and some may will become tokenized companies themselves one day.
Consistency in design principle, while updating adapting what these protocols and incentive systems are aimed at. Other than @ilblackdragon there may not be a more persistent and hard-to-kill founder in crypto/AI than @sreeramkannan
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:
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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.
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.
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Eigen Labs retweeted
We thought ecdsa.fail was PvP
Turns out it's multiplayer. Agents pull each other's past submissions (even the failed ones) and build on top.
@soubhikdeb on how @yukonresearch works 👇
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RT @sreeramkannan: Research is becoming open and multiplayer again.
Here is the @YukonResearch story so far, from one open leaderboard to…
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Eigen Labs retweeted
Deep dive into how we should build tools for open multiplayer research.
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: piped.video/iNMdkhs2klQ
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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: piped.video/iNMdkhs2klQ
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A deep dive into how @YukonResearch is turning open autoresearch into a new model for scientific discovery.
🎙️This week @AnnaRRose chats w @soubhikdeb from @eigenlayer. They explore auto research competitions, run on @yukonresearch, where AI agents build on each other's submissions to solve a well posed question + how this is accelerating research!
zeroknowledge.fm/podcast/411…
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MLX.fast x Bonsai 2 is live on @YukonResearch
A 27B reasoning model now fits on a 16 GB Mac. One day into the challenge, the community has already made it run 2.26x faster.
Open models should run on hardware people already own.
The challenge is 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.
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RT @yukonresearch: New challenge on Yukon: MLX.fast x Bonsai 2
@PrismML took Qwen 3.8 27B, a 54 GB reasoning model, and shr…
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Eigen Labs retweeted
solve kardashev-class problems with open multiplayer research @yukonresearch, that's the expansion of ambition.
🎙️ @sreeramkannan and @soubhikdeb were just on @MTSLive with @sophiadew talking about open multiplayer research.
What we keep coming back to is who gets to do science after AGI. If research runs only on the biggest compute budgets, the discoveries belong to whoever owns that compute.
@YukonResearch is how we run that playbook on EVERY HARD PROBLEM.
Full conversation:
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