International Journal of Applied Research on Information Technology and Computing
  • Year: 2025
  • Volume: 16
  • Issue: 1to3

ASIC-RAG-CHIMERA: Thermodynamic Reservoir Computing for Cryptographically-Secured Retrieval-Augmented Generation

  • Author:
  • Francisco Angulo De Lafuente1,*, Nirmal Tej Kumar2,3
  • Total Page Count: 5
  • Published Online: Mar 20, 2026
  • Page Number: 1 to 5

1Independent Researcher, Advanced AI Systems Laboratory, Madrid, Spain

2Member – CAB @ LogRocket, Boston, MA, USA

3Current Member - antE Institute, UTD Dallas, TX, USA

*Corresponding author email id: lareliquia.angulo@gmail.com

Online published on 20 March, 2026.

Abstract

We present Asic-Rag-Chimera, a novel architecture that repurposes obsolete Bitcoin mining hardware (specifically the BM1387 ASIC) as thermodynamic reservoir computers for privacy-preserving Retrieval-Augmented Generation (RAG) systems. Our key discovery is that frequency-modulated ASICs exhibit self-organized criticality (SOC) with 1/f noise signatures at 525 MHz, enabling dual-mode operation: high-quality true random number generation (5.06 bits/symbol entropy) at standard frequencies, and emergent computational properties at critical frequencies. The system achieves cryptographic security through physical entropy rather than computational overhead, with SHA-256 hash indices eliminating embedding inversion attacks. Hardware validation on Lucky Miner LV06 demonstrates 18.1% improvement over shuffled baseline in NARMA-10 tasks, with theoretical energy efficiency ~14,000× better than GPU simulation. This work establishes the foundation for thermodynamic AI systems that leverage obsolete cryptocurrency hardware for secure, energy-efficient computation.

Keywords

Asic-Rag-Chimera, Cryptographically, Reservoir, Retrieval-Augmented Generation, Thermodynamic