This is also the book that Tetsuya Mizuguchi cites as the genesis of his career in video games. Mizuguchi would go on to create Sega Rally Championship, Rez, Lumines, and Tetris Effect—a body of work deeply concerned with synesthesia, music, and the sensory experience of play. It’s not hard to see how a book this alive to the artistic possibilities of games might have lit that fuse.
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:
。关于这个话题，91视频提供了深入分析
‘증시 패닉’ 어제보다 더했다…코스피 12%, 코스닥 14% 폭락
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