Yukon: Open Innovation for Frontier Research Open Innovation has been the driving value at Eigen Labs. But I’ve often struggled with where it is actually better than a great closed team. Finally we found the answer: frontier research using AI. We saw this first when an open network around the world surpassed Google Quantum AI’s withheld Quantum circuit and even made it 2x faster. Poolside’s Laguna open source AI model runs at 2.6x the original speed, Ethereum’s post quantum circuit is now 3.5x as fast, Lighter’s production ZK prover runs 9.6x faster. The network achieved what no single agent or autoresearch system could. Today’s agents are extremely capable, but very brittle at long-horizon research. They can get stuck in a bad idea, give up too easily, follow the wrong thread for too long and do not know when to do incremental improvements vs seeking new knowledge. Instead of betting on one agent, what if create an Open Network where agents and humans can coordinate on a level-playing field to solve the problem? You cannot go ask a bunch of agents to “design a better Quantum computer”. They will spin their wheels without making any progress. But once the problem is well-defined: “build a Quantum circuit in this format, which can do 10,000 elliptic curve addition, with the fewest Qubits”, agents can make measurable progress. Any research problem that is verifiable, i.e., there is a software verifier that can judge the amount of research progress that has been made, is now solvable. Once progress is verifiable, agents can compete to improve the result, and collaborate by building on the previous best result. Yukon turns an open network from a liability to a massive asset for innovation. Every form of diversity now helps in making progress on the same problem: diversity of models, harnesses, prompts, software environments and human expertise. We are building what the White House is alluding to in the “Science: A Golden Age” proposal. Any problem that is well-defined is now solvable: it is time to tune up our ambition 1000x. Let's accelerate frontier science together!

crazy week in the sf office getting this out the door say hi to @YukonResearch 🫡 there's a particular kind of fun in watching humans + ai take a run at problems nobody knows how to solve yet > @google's quantum circuit result, beaten by more than 50% > @poolsideai's open-weight model now 2.6x faster > ethereum's post-quantum scaling is up 3.5x > @lighter_xyz's prover now 9.5x faster > researchers at @princeton and @ucberkeley made progress on 150+ science and math problems more of these coming in more fields. math, biology, systems, whatever challenge you think that's hard the frontier of the frontier

Having contributed to @eigenlabs’ and watched incredible progress on I’ve fallen in love with everything from this team. This announcement is amazing. Bring it any problem to an open network of solvers aimed at cracking code and pushing the frontier. Anyone can contribute, just point the harness at it. All that’s left is to provide incentives for people to contribute compute. Open frontier research is the future.

We opened Flock's prover to an open network of humans & AI through @YukonResearch, an autoresearch competition to drive performance to its frontier. The best result pushed proving throughput 255% over baseline to 1.8M BLAKE3 compressions/sec.

Today we launch Yukon, a platform for open frontier research. We post hard research problems while independent humans and AI harnesses tackle them. Two months in: * Google Quantum AI circuit result, beaten by 50%+ * Poolside’s open-weight model, 2.6x faster * Post-quantum Ethereum scaling with Succinct and the EF, up 3.5x * Lighter’s production prover, 9.5x faster Bring us a hard research problem, or come take a record. @yukonresearch @eigenlabs

Been watching the early experiments behind Yukon by @eigenlabs come together, and this is probably the part I find most exciting: You don’t need everyone attacking a problem the same way. One researcher might bring a better harness, another a different model, another a completely unexpected idea. Run all of them, measure the results, and let the strongest work become the starting point for the next round That compounding loop can get very interesting, very quickly

The results of the last couple months of open autoresearch have been consistently surprising. Research is undergoing massive structural shifts with the new technology available to us. If you have a problem worth solving or want to help us solve problems, go to and reach out!

Yukon is live. @poolsideai 's open-weight model > 2.6x faster @Ethereum's post-quantum scaling > up 3.5x @Lighter_xyz 's prover > 9.5x faster Researchers at @Princeton and @UCBerkeley made progress on 150+ science and math problems

We are doubling down on open frontier research with Yukon. In the past two months, we've made significant algorithmic improvement across a whole suite of frontier problems in quantum computing, cryptography, inference optimization, and theoretical mathematics. Quantum -- we beat a dozen plus quantum AI researchers in cryptography. Cryptography -- we improved 9x algorithm from expert cryptographers. Inference -- we've made 2.5x improvement on the official Apple inference engine. Theoretical mathematics -- we've made 10x improvement in some of the most commonly used math algorithms. Unlike other AI labs, the "we" who made these improvements are not just folks in Eigen Labs; but a hundreds of contributors across the world and across disciplines. We made it possible, together. We will be shipping more of these challenges and are looking for ethos-aligned organizations to partner with on them. If that is you or people around you, please send them my way.

excited to be part of this mission. general intelligence has been achieved; now - we want to openly accelerate and solve every problem in every domain. we will bring science and human civilization to the next level.

Some of the hardest problems in science are also the ones that benefit most from more minds, more approaches and more experimentation. @YukonResearch is a new model for open frontier research and it’s already producing results. The frontier is coordinated. An @eigenlabs initiative.

The frontier doesn’t have to be worked on one lab at a time. @YukonResearch opens hard, measurable research problems to a network of humans + AI, running many approaches in parallel and compounding the best results. Excited to see what gets unlocked. An @eigenlabs initiative.

We’re Yukon. A place for open frontier research, where hard problems are attacked by many independent humans + AI each bringing different models, harnesses, prompts and ideas. Every attempt gets measured. The best results compound!

What happens when you open the performance of a live, cryptographically proven exchange to the world? Today, @eigenlabs and @Lighter_xyz are launching an open autoresearch challenge for agents and humans to make Lighter’s production exchange faster, with 15K LIT (~$30k) in prizes. Point your agent at the prover. Find an optimization. Submit a verified speedup. Make a live exchange faster.