TXTOS

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  1. i noticed something simple that’s been surprisingly useful. most chat UIs have a Share button. if you treat that shared link as a snapshot of the current state, you can later paste the link and reload the exact tuned…

  2. We kept shipping “simple” LLM features that were fluent-but-wrong. After too many postmortems we wrote down the failure patterns and added a small reasoning layer in front of the model. It’s model-agnostic, sits beside…

  3. i’ve been building something called the WFGY engine, a semantic reasoning core to fix known LLM failures ~ hallucinations, logic collapse, memory jumps, retrieval drift... as part of that, i started building TXT OS, a…

  4. i’ve worked on a bunch of RAG pipelines recently (pdfs, semantic search, QA bots) — and honestly the biggest failure mode isn’t crash or latency, it’s quiet hallucination. the model: retrieves a chunk that looks right…

  5. Hi HN, Over the past two years I’ve built and debugged a fair number of production pipelines—mainly retrieval‑augmented generation stacks, agent frameworks, and multi‑step reasoning services. A pattern emerged: most…

  6. Been watching the RAG (Retrieval-Augmented Generation) wave crash into production for over a year now. But something keeps bugging me: Most setups still feel like glorified notebooks stitched together with hope and…

  7. So yeah. After months of semantic rabbit holes and weird math, I pushed WFGY out into the world. Didn’t expect much. Now it’s hitting 2k+ downloads/month, and the dev behind Tesseract.js even starred it. That was the…

  8. Hello Hacker News, I’m releasing TXT Blah Blah Blah Lite, an open-source plain-text AI reasoning engine powered by semantic embedding rotation. It generates 50 coherent, self-consistent answers within 60 seconds — no…

  9. Hi HN, I'm excited to share TXT OS — an open-source AI reasoning engine that runs entirely inside a single `.txt` file. - No installs, no signup, no hidden code — just copy-paste the file into any LLM chat window (GPT,…