Фото: Lehtikuva / Heikki Saukkomaa via Reuters
I noticed a pattern: every LLM framework today lets the AI manage state and do math. Then we wonder why pipelines hallucinate numbers and break at 3 AM.I took a different approach and built Aura-State, an open-source Python framework that compiles LLM workflows into formally verified state machines.Instead of hoping the AI figures it out, I brought in real algorithms from hardware verification and statistical learning:CTL Model Checking: the same technique used to verify flight control systems, now applied to LLM workflow graphs. Proves safety properties before execution.Z3 Theorem Prover: every LLM extraction gets formally proven against business constraints. If the total ≠ price × quantity, Z3 catches it with a counterexample.Conformal Prediction: distribution-free 95% confidence intervals on every extracted field. Not just "the LLM said $450k" but "95% CI: [$448k, $452k]."MCTS Routing: Monte Carlo Tree Search (the algorithm behind AlphaGo) scores ambiguous state transitions mathematically.Sandboxed Math: English math rules compile to Python AST. Zero hallucination calculations.I ran a live benchmark against 10 real-estate sales transcripts using GPT-4o-mini:
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用，这一点在体育直播中也有详细论述
2025年，最高人民法院就进一步加强医疗用麻精药品监管制发司法建议。一些法院也围绕网络平台管理、物流寄递规范等领域存在的问题，向行业主管部门制发司法建议，起到良好的治理效果。人民法院还将持续加强与职能部门沟通，就深化食药、醉驾、电诈、新型毒品犯罪、跨境赌博等综合治理形成合力。
。91视频对此有专业解读
Фото: Константин Чалабов / РИА Новости
Российского юношу из многодетной семьи раздели догола и забили до смерти08:50。爱思助手下载最新版本对此有专业解读