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Ask HN: How to approach new people in 2026? 3 by tavro | 3 comments on Hacker News. i recently read an article in the guardian about how casual conversations with strangers are becoming increasingly rare. the piece argued that smartphones and post-pandemic habits have made people less likely to interact with strangers in everyday places. this made me think about my own situation. i have been fortunate to meet many great people through university and work, and i generally feel comfortable talking with people in those environments. but outside of structured settings it is a different story. i live in sweden, where approaching strangers in public is already culturally uncommon. it can feel even harder if you did not grow up here and do not already have established social circles. public spaces often feel socially “closed”. people are polite but tend to keep to themselves. so i am curious how others approach this today. how do you meet new people outside of work or school in 2026? do yo...

Aura-State: Formally Verified LLM State Machine Compiler 2 by rohanmunshi08 | 0 comments on Hacker News. 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: ...