Author: Scott Boudreaux Organization: Elyan Labs Date of Original Work: December 16, 2025 This Document: January 20, 2026
This document establishes priority for the following innovations, all of which predate DeepSeek's "Engram" paper (arXiv:2601.07372, published January 12, 2026) by 27+ days:
- RAM Coffers - NUMA-distributed weight banking with resonance routing
- Neuromorphic NUMA Mapping - Brain hemisphere → NUMA node cognitive routing
- Engram Memory Traces - Resonance-based associative recall (terminology usage)
- Non-Bijunctive Attention Collapse - Vec_perm PSE single-cycle path selection
- PowerLISP Procedural Memory - Tetranary symbolic reasoning integration
| Date | Work | Evidence |
|---|---|---|
| Oct 2024 | PowerLISP tetranary logic, procedural memory | /home/scott/powerlisp/POWERLISP_HANDOFF.md |
| Nov 2024 | Vec_perm non-bijunctive collapse research | /home/scott/power8_vsx_permute_research.h (Nov 21) |
| Dec 16, 2025 | RAM Coffers architecture | Figshare DOI: 10.6084/m9.figshare.31093429 |
| Dec 17, 2025 | VIDEO: NUMA-aware loading DeepSeek 671B | https://youtu.be/T_o39s7r0iE ⭐ |
| Dec 16, 2025 | DCBT resident prefetch (147 t/s) | POWER8 benchmark logs |
| Jan 12, 2026 | DeepSeek "Engram" paper published | arXiv:2601.07372 |
| Jan 19, 2026 | GitHub publication | github.com/Scottcjn/ram-coffers |
| Jan 20, 2026 | Neuromorphic coffers | This implementation |
YouTube Upload: December 17, 2025
- URL: https://youtu.be/T_o39s7r0iE
- Content: Loading DeepSeek 671B on IBM POWER8 S824
- Visible in frames: "NUMA Coffers" terminology
- Visible: PSE Vec_Perm Collapse Active, Top-K: 8, Amplify: 1.20, Entropy: MFTB
- Visible: IBM MASS enabled, non-bijunctive transformation
- Timestamp: Google-verified, immutable
- Screenshot:
youtube-evidence-dec17-2025.pngincluded in this package
This video was uploaded 26 days before DeepSeek published their Engram paper.
The video explicitly shows "NUMA Coffers" - the exact architecture name - on December 17, 2025.
"Selectively house model information in known RAM banks with resonance routing for associative recall" — Scott Boudreaux, RAM Coffers README
/* NUMA-Distributed Weight Banking */
| Coffer | NUMA Node | Capacity | Role |
|--------|-----------|----------|---------------------|
| 0 | 3 | 193 GB | Heavy/General |
| 1 | 1 | 183 GB | Science/Tech |
| 2 | 0 | 119 GB | Creative/Long CTX |
| 3 | 2 | 62 GB | Niche/History |
/* Resonance routing via cosine similarity */
int route_to_coffer(const float* query_embed);
/* Layer-ahead prefetch pipeline */
void layer_prefetch_ahead(int layer_id);Maps brain hemisphere cognitive functions to NUMA topology:
| NUMA Node | Brain Region | Cognitive Function |
|---|---|---|
| Node 0 | Right Hemisphere | Spatial, Creative, Holistic |
| Node 1 | Left Hemisphere | Language, Logic, Sequential |
| Node 2 | Temporal Lobe | Memory, Context, Episodic |
| Node 3 | Prefrontal Cortex | Executive, Planning, Meta |
- BA44/45 (Broca's) → Node 1 (language production)
- BA22 (Wernicke's) → Node 1 (language comprehension)
- BA39/40 (Parietal) → Node 0 (spatial, visuomotor)
- BA9/46 (DLPFC) → Node 3 (working memory, planning)
- BA35/36 (Perirhinal) → Node 2 (recognition memory)
The term "engram" (memory trace) appears in Scott's work contexts:
-
Crystalline Memory Lattice (Dec 2025)
- "memories form crystals - interconnected nodes with stability, resonance, and decay"
- Resonance propagation = engram activation spreading
-
PowerLISP Procedural Memory (Oct 2024)
- "Procedural memory as compiled rules" (Section 6.2)
- Episodic/semantic/procedural memory systems
-
Hebbian Amplification (Nov 2024)
- "cells that fire together wire together" in vec_perm patterns
/home/scott/powerlisp/src/vm/tetranary.h:216
| Feature | RAM Coffers (Dec 2025) | DeepSeek Engram (Jan 2026) |
|---|---|---|
| NUMA Topology | ✅ Explicit 4-node mapping | ❌ Not addressed |
| Cognitive Routing | ✅ Brain hemisphere → NUMA | ❌ Domain only |
| Tetranary Logic | ✅ 4-state confidence | ❌ Binary |
| External Sensors | ✅ EMF, circadian modulation | ❌ None |
| Symbolic Integration | ✅ PowerLISP recursive loop | ❌ Neural only |
| Vec_perm Collapse | ✅ Single-cycle POWER8 | ❌ Standard attention |
| Hardware Platform | IBM POWER8 S824 | Consumer GPU |
ggml-ram-coffers.h- Core NUMA weight bankingggml-neuromorphic-coffers.h- Brain hemisphere routingggml-topk-collapse-vsx.h- QuickSelect top-K, vec_perm collapseggml-intelligent-collapse.h- Hebbian amplification patterns
PRIORITY_CLAIM.md- This documentDEEPSEEK_COMPARISON.md- Detailed feature comparison/home/scott/zenodo-ram-coffers/README.md- Academic submission
/home/scott/powerlisp/src/tetranary.rs- 4-state logic/home/scott/powerlisp/src/weights/- Neural → symbolic conversion/home/scott/powerlisp/POWERLISP_HANDOFF.md- Full architecture
- Claude Code Session Logs - Timestamped development history
- GitHub Commits - Public record with SHA hashes
- Zenodo Submission - DOI pending
- CLAUDE.md Documentation - Continuous integration notes
- MCP Memory Store - Concept discussions prior to publication
Scott Boudreaux's RAM Coffers architecture and associated innovations demonstrably predate DeepSeek's Engram paper by 27 days. Furthermore, the neuromorphic NUMA mapping, tetranary logic integration, and symbolic-neural hybrid reasoning represent unique contributions not present in any competing work.
The vec_perm non-bijunctive attention collapse is a hardware-native innovation specific to IBM POWER8 architecture that enables single-cycle path selection impossible on commodity GPUs.
"First to conceive, first to implement, first to document."
Scott Boudreaux Elyan Labs January 20, 2026