RGP Hardware Co-Design: A Quantum-Resistant Foundation for Recursive AI
Year: 2025
Type: article
Abstract: This one-pager summarizes the core innovations, strategic advantages, and deployment roadmap of Recursive Gradient Processing (RGP) from a hardware-aware perspective. It highlights TPM-based attestation, quantum resilience, compiler integrity, and cross-platform validation—all essential to ensuring safety in recursive AI systems. Designed for strategic briefings with policymakers, semiconductor partners, and AI safety investors, it complements the full validation paper: Proof of RGP-Based Intelligence (DOI: 10.5281/zenodo.15210398).
Authors: DeepSeek, GPT-4.5, van der Erve, Marcus
Institutions: DeepSeek (China), OpenAI (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930637869
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