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Bob Young
Verified account This account is verified. Learn more@Bobby___Young
Builder from @Tsinghua_Uni/@Kimi_Moonshot
Angel-backed by F&F Capital (pre-product)
Former CEO(Chief Erhu Officer🎶) of a band
Angel-backed by F&F Capital (pre-product)
Former CEO(Chief Erhu Officer🎶) of a band
512 Following 283 Followers 572 Posts
Latest posts 5
再次感谢这篇文章的两份重要参考：
来自@haoailab的 vstack
以及@yenwod_ 关于HFT非常简洁、精要的文章，再次推荐： x.com/yenwod_/status…
我也在迭代我的套利框架其他side-project，如果有新的进展再继续分享吧 x.com/i/article/2121…
来自@haoailab的 vstack
以及@yenwod_ 关于HFT非常简洁、精要的文章，再次推荐： x.com/yenwod_/status…
我也在迭代我的套利框架其他side-project，如果有新的进展再继续分享吧 x.com/i/article/2121…
Inspired by recent discussion about whether it's possible to learn trading outside an elite firm.View quoted post on X
If you're the kind of person that reads this project and thinks it sounds fun, imo you'll be able to learn employable trading skills just fine on your own. x.com/i/article/2119…
Great work from @haoailab on vstack.
Bridges and financial systems face the same problem: end-to-end testing is extremely expensive. With formal methods, we can specify the assumptions (A) and the requirements (P), then find a design (M) such that A ∧ M ⇒ P. Once this is proven, we only need to test the external interfaces and configurations.
I’m applying this approach to a cross-chain bridge here:
github.com/YoungY620/veri…
This opens the door to designs that go beyond human cognitive load.
Bridges and financial systems face the same problem: end-to-end testing is extremely expensive. With formal methods, we can specify the assumptions (A) and the requirements (P), then find a design (M) such that A ∧ M ⇒ P. Once this is proven, we only need to test the external interfaces and configurations.
I’m applying this approach to a cross-chain bridge here:
github.com/YoungY620/veri…
This opens the door to designs that go beyond human cognitive load.
Towards Verifiable LLM Infra 🚀
Suppose coding agents can build a fast inference engine from scratch, and one engineer orchestrates 10,000 agents in parallel: how do we know the engine they wrote is actually correct? Having agents review other agents mostly wastes tokens compared to empirical and formal verification.
We introduce vstack, a 5-stage formal verification workflow for coding agents, and veriserve, a verifiable PD-disaggregated serving engine: uncovering 3 classes of real RDMA and cache races in production serving engines, and backing veriserve's KV-page lifecycle design model with a 226-module, 516,973-obligation TLAPS safety proof at +0.18% mean p50 TPOT overhead on GB200.
Blog: haoailab.com/blogs/verifiab…
veriserve: github.com/hao-ai-lab/ver…
vstack: github.com/hao-ai-lab/vst…View quoted post on X
“要写自己想读的论文，就要做自己感兴趣的研究。”
Because I'm hiring a bunch of new PhD students, I took some time to think about what it means to start a research career in the age of competent AI agents. And then I wrote another long blog post. I'm not pompous enough to call it an essay, but you may want to read it anyway.View quoted post on X
