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RadarAI· X:UCSD Hao AI Lab (@haoailab)·· 4 小时前AI 评分47

UCSD Hao AI Lab 推出 vstack 与 veriserve 可验证 LLM 基础设施

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UCSD Hao AI Lab 提出面向编码智能体的 5 阶段形式化验证工作流 vstack,并发布可验证 PD 分离式服务引擎 veriserve。

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Hao AI Lab· @haoailab · X·2026-11-12 03:14· 50 分钟前AI 评分43

AI 导读

UCSD Hao AI Lab 提出 vstack,一套面向编码智能体的 5 阶段形式化验证工作流,并发布可验证 PD 分离式服务引擎 veriserve。

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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/verifiable…
veriserve: github.com/hao-ai-lab/veriser…
vstack: github.com/hao-ai-lab/vstack

来源:Hao AI Lab · x.com

来源:RadarAI · aihot.news