Intercept: A MutationObserver watches the DOM for elements
Автолюбителей предупредили о штрафе за неправильную тонировку14:52。一键获取谷歌浏览器下载对此有专业解读
欧盟委员会当天发布的新闻公报说，《工业加速器法案》提出到2035年将制造业占欧盟国内生产总值（GDP）的比重提升至20%的目标。数据显示，2024年制造业占欧盟GDP的比重为14.3%。。PDF资料对此有专业解读
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: