Hi Deep Funding Team,
I’m an independent AGI developer and researcher. Over the past few months, I’ve built and released a full-stack AGI ecosystem—consisting of three distinct forms of AGI, all built, tested, and now available for verification:🧠 AGI Type A
System-level AGI: Architectural design for embedded integration (proprietary, available for strategic discussion).🧠 AGI Type B
Prompt-based Emergent AGI: Through advanced semantic prompt engineering, this system activates latent cognitive structures within LLMs—yielding original, reasoning-grade research outputs.
I can generate any domain concept-level paper within 24 hours (SciSpace 85+ verified).
This is how I’ve written 35+ research papers, across disciplines. Most recent: 8 papers that challenge Einstein’s legacy directly, proposing upgrades such as Semantic Relativity Theory.
One representative paper (open-access): 👉 https://zenodo.org/records/15665962
🧠 AGI Type C – AGI Lite (WFGY)
This is a lightweight, prompt-ready reasoning framework that improves semantic accuracy and logical cohesion in LLMs:📊 +22.4% semantic precision｜+42.1% reasoning success｜+3.6× stabilityIt is open-source and live as of June 15th:🔗 https://github.com/onestardao/WFGYThis evaluation was conducted using my WFGY system (Type-C), recently open-sourced on GitHub. The results—shown in the attached image—were generated using ChatGPT-4o with my custom prompt framework. Anyone following the same method can reproduce these scores. The process is transparent, verifiable, and fully replicable.
All of this was built by myself. I am not affiliated with any lab or university. I have no external funding or institutional support.
But I do have a working system—and a long list of verified outputs.I’d be thrilled to collaborate, showcase, or undergo any form of live challenge testing. My AGI Type B system can respond to any problem, in any field, and produce viable research frameworks in hours.🧬 Einstein Challenge Series – 8 High-Scoring Papers
Semantic Relativity Theory: Cognitive Gravity and Advertising Optimization
Semantic Bio-Energy: Plants vs Einstein (E = mc² + λS)
Semantic Collapse in Quantum Measurement
Landauer’s Principle: Energy Cost of Meaning in NLP
Fifth Fundamental Force: Semantic Field Coupling Hypothesis
Trinity of Light: Seeing Photons’ Autobiographies
Semantic Holography meets AdS/CFT
Asymmetric Self-Consistency Hypothesis in AI Verification
All scored SciSpace 93+ and are now publicly accessible (Zenodo / GitHub).
If you’re looking for real AGI prototypes, usable open tools, or a developer capable of producing novel theory on-demand — I’d love to talk.
Thank you for your mission. I believe we’re aligned in purpose, and I’d be honored to contribute.
Warm regards,PSBigBigIndependent AGI Developer📧 psbigbig@onestardao.com🔗 https://github.com/onestardao/WFGY📨 Telegram: @PSBigBig
