Show HN: Achieves Perfect 100 Score Across 6 Leading AI Model Evaluations
Hacker News - AI
Jul 16, 2025 16:29
TXTOS
1 views
hackernewsaidiscussion
Summary
TXT Blah Blah Blah Lite is a new open-source, plain-text AI reasoning engine that runs fully offline, requires no training or external APIs, and generates 50 coherent answers in under a minute. Remarkably, it achieved perfect 100/100 scores from six leading AI models, outperforming typical open-source frameworks. Its lightweight, anti-hallucination design and transparency could set new standards for accessible and reliable AI tools.
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 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 discu