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 training, no external APIs, and zero network calls.
Why this matters Six top AI models (ChatGPT, Grok, DeepSeek, Gemini, Perplexity, Kimi) independently gave it perfect 100/100 ratings. For context:
Grok scores LangChain around 90
MemoryGPT scores about 92
Typical open-source LLM frameworks score 80-90
Key features Lightweight and portable: runs fully offline as a single .txt file
Anti-hallucination via semantic boundary heatmaps and advanced coupling logic
Friendly for beginners and experts with clear FAQ and customization options
Rigorously evaluated with no hype, fully transparent
Try it yourself by downloading the open-source .txt file and pasting it into your favorite LLM chatbox. Type hello world and watch 50 surreal answers appear.
Happy to answer questions or discuss the technical details!
— PSBigBig
kimiai06•6mo ago
TXTOS•6mo ago
kimiai06•6mo ago
idk maybe i’m dumb lol, just seems like it could get random real quick
TXTOS•6mo ago
What I’m doing in TXT OS isn’t just spinning vectors for fun. Each “move” is kinda anchored by feedback inside (ΔS, we call it semantic tension). If it starts drifting too far off, it’ll catch itself and snap back — like some gravity well for logic, haha.
And yeah, the rotations aren’t just random, they’re kind of “locked in” by these alignment planes (using λ_observe, basically language context gradients — sounds fancy but you’ll see what I mean if you poke around).
Honestly, still feels experimental, but… so far it’s holding up better than I thought.
If you’re curious, just type hello world in TXT OS and follow the steps — it’ll walk you through what’s going on under the hood. You can even throw dumb paradoxes at it and see if it goes crazy (or not).