🧪 Sharing an Experiment: TXT OS · Blah Blah Blah Lite (100/100 from 6 Models)

OneStarDao
Thu, 17 Jul 2025 01:29:35 +0000

Hi everyone! I recently ran an experiment where I embedded a full reasoning scaffold inside a .txt file—no code, no scripts, just structured text prompts + semantic memory logic.

To my surprise, six different models (GPT-4 o3, Gemini 2.5 Pro, Grok 3, Kimi, Perplexity, DeepSeek) all evaluated the system and gave a 100/100 score for coherence, safety, and reasoning quality.

The tool is called Blah Blah Blah Lite — you can ask it any question (from daily life to deep philosophy), and it will give you surprising, creative, and thoughtful answers.

I believe this is one of the most accessible AI tools out there:
Super easy to use
No login, no install
Free and open source

Whether you’re a developer, student, writer, or just curious—this is something I think everyone can try and benefit from.

What it does (in plain text)

Bootable OS console in .txt, with stateful reasoning

Uses semantic memory trees + ΔS logic to manage jumps

Prevents hallucination via BBCR fallback (resets logic if tension is too high)

Supports free creative or philosophical input with traceable node logging

No external dependencies—just paste it into a model and type hello world.

Try it here (MIT License)

GitHub: WFGY/OS/BlahBlahBlah at main · onestardao/WFGY · GitHub
File: BlahBlahBlah_Lite.txt

Would love to hear:

Has anyone else tried structured reasoning inside .txt?

What edge cases or breakage can you find?

Does this concept feel useful for memory-style agents?

Happy to share the internals or walk through the formula (ΔS, BBMC, etc.) if anyone’s curious!

TL;DR

This is not a prompt, not a jailbreak, not a fine-tuned model.
It’s a plain .txt file that behaves like a semantic OS.
If you try it and it breaks, tell me. If it doesn’t… maybe it’s worth forking.

Scored 100/100 by six AI models—showing two here, full set on GitHub.