Credit: Barnes & Noble
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:
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To this end, I have written a small C library for the sole purpose of generating the Delaunay triangulation of a colour palette and using the resulting structure to perform barycentric interpolation as well as natural neighbour interpolation for use in colour image dithering. The library and source code is available for free on Github. I’ve included an additional write up that goes into a bit more detail on the implementation and also provides some performance and quality comparisons against other algorithms. Support would be greatly appreciated!
Ранее стало известно, что количество авторов VK взлетело вдвое. За последний год в «VK Видео» зарегистрировались и начали создавать собственный контент около 400 тысяч человек. В январе же 2026-го видеосервис VK стал самым востребованным видеохостингом в России.,推荐阅读体育直播获取更多信息
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