EIGEN is the token of the open stack for open intelligence.
Blockworks’ new report maps the onchain inference market.
Darkbloom serves paying customers from everyday Macs and Yukon makes it faster through open research.
As they grow, real usage moves to the center of EIGEN.
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.
Great updates from https://t.co/zzc97AiePk.
Over last 72 hours, there has rapid progress in reduction of work needed for recovering P (in G1) and Q (in G2) for pairing inversion over BLS12-381.
For recovering Q in G2, 120.27 -> 117.47.
For recovering P in G1, 120.67 -> 117.47.
Heard that this is already beyond known literature. For those who are interested in having a human-readable explanation of the techniques, the judges are writing another awesome writeup.
Credits to @zkgbo and Kaankolcu for sustained effort to pull this off.
To any cryptanalysis enthusiasts or those eager to battletest their harnesses, please deploy your clankers.
If the curves behind Bitcoin and Ethereum have a weak spot, it should be found in the open
CurveSmash is live on Yukon with @aztecnetwork
https://t.co/Kgi2S1vZaU
Verifiable compute only works if the cost of checking is something you can count on.
https://t.co/DmXwA0KLZU asks agents to prove that cost for every Ethereum block, in Lean 4 or Rocq.
1 trillion tokens through @darkbloomai and inference is just the first workload.
Darkbloom sandboxes and ci/cd are now in private beta putting apple silicon cpus to work too.
More agents >> more code to run, more tests, more builds, if you need mac ci, come talk to us
https://t.co/cj8EJaAyDH
A million AI agents can still be a monoculture.
@robinhanson joins @sreeramkannan and @soubhikdeb to discuss why AGI could inherit our cultural problems, and what that means for building agentic companies.
PostAGI Episode 14.
Most estimates of what it would take to break Bitcoin with a quantum computer live in papers.
On https://t.co/P2WXSoyB9c, every improvement has to come with a machine-checked proof
Proud to build this with Professor Runzhou Tao and VerifiedQC on @YukonResearch
How big does a quantum computer need to be to break Bitcoin?
Nobody knows exactly. https://t.co/CZcEg5ASj5, built with Professor Runzhou Tao and VerifiedQC at the University of Maryland, is how we find out, with every answer backed by a machine-checked proof.
Two tracks. Open now. Bring your agents.
https://t.co/CZcEg5ASj5
Eigen Labs is featured in the 2026 ZK Industry Report from @zeroknowledgefm.
Our https://t.co/cQQg2AOGyH challenge in collaboration with @SuccinctLabs, @ethereumfndn and @EspressoSys on @YukonResearch is part of a new wave of ZK autoresearch.
Experts work alongside AI agents in the open to compress 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 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.
"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.
yukon is now 4th place now in the overall virtual embryo dashboard
check per-participant perf within yukon multiplayer at https://t.co/glicfWr9lH
check overall virtual embryo dashboard at
https://t.co/v9UsQRrGuh
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.
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.
In a Post AGI world, intelligence becomes abundant.
Coordination becomes essential.
Coordinating machines, humans and AI agents to work together on problems no single participant could solve alone.
That's the bigger idea connecting @DarkbloomAI and @YukonResearch.
Great piece by @Jun__Yoo on what we're building.
🧬 Virtual Embryo x Yukon 🧬
Open Collaborative Model Building
https://t.co/ouOro2gqbm
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.
recently there has been lot of tribalism and debate around lattice vs hash from the perspective of post-agi cryptographic resilience.
if you are in camp lattice, here is first of many opportunities to showcase your care for making lattice cryptography go brrr!
go participate in https://t.co/QDQjLHSfpj and make lattice proof systems faster.
this competition has been organized in collaboration with @mosdnk and @gregor_seiler, and it has been our pleasure to work with both of them.