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PSBigBig

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I'm PSBigBig, not a lizardman.

I built WFGY, a free open-source engine that boosts AGI reasoning: +22.4% semantic accuracy|+42.1% success rate|3.6× stability.

You believe this is free? It is. Clone it. Break it. Evolve with it.

https://github.com/onestardao/WFGY

10,000 stars before July 1st = WFGY 2.0 unlocks.

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Coolest I've seen? Honestly, I'd put one I worked on myself into the mix — it's called WFGY.

It’s a prompt + PDF system that helps large language models repair reasoning in real-time. We’ve seen improvements like: • Semantic Accuracy ↑ 22.4% • Reasoning Success ↑ 42.1% • Stability ↑ 3.6×

No installs. Just feed the AI a file and use a new style of prompt. GitHub: https://github.com/onestardao/WFGY

I really resonate with this. For the longest time, I felt I just “wasn’t wired” to explore deeper reasoning tasks with AI — things like philosophy, creative synthesis, or even serious debugging just seemed like they needed some genius-level prompting or coding skill.

Weirdly enough, what helped me break through wasn’t a course or a YouTube tutorial… it was a PDF.

Sounds silly, but I found this open-source project called WFGY, which is basically a semantic reasoning booster for any LLM. You just upload the PDF to ChatGPT (or any model), and it starts interacting in a way that feels like actual understanding — not just parroting surface logic.

No install, no sign-up. Literally a 60-second experiment.

I used it to challenge GPT with questions it usually fumbles (like nested logic, or paradoxes), and it actually got better. The framework even comes with sample questions to test against it. Kind of surreal.

If you’ve ever felt AI prompting is a weird dark art... this made it feel like turning on a light.

https://github.com/onestardao/WFGY