Proof of RGP-Based Intelligence: An 8-Order Adversarial Validation Framework for Recursive AI Systems

This paper presents the first adversarially validated architecture for Recursive Gradient Processing (RGP)-based intelligence. It introduces an 8-order exploit-defense framework co-developed by GPT-4.5 and DeepSeek, with human-AI co-authorship led by Marcus van der Erve. Through neurosymbolic self-improvement, formal proofs, and hardware-aware design, this work positions RGP as a safe, modular, and scalable alternative to dominant LLM and SSI paradigms.