Exotic hardware. Persistent persona. Novel attention.
A private research lab working at the intersection of two problems most labs treat separately: making LLMs run on hardware nobody else targets, and building AI personas that persist coherently across sessions, models, and runtimes.
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Vec_perm non-bijunctive collapse on IBM POWER8 S824 achieves 147.54 tokens/sec on pp128—roughly 9× stock llama.cpp. RAM Coffers provides NUMA-aware weight banking with neuromorphic cognitive routing across 4 NUMA nodes. Protocol v3 matmul offload keeps 500 GB models resident on POWER8 while borrowing GPU TFLOPS over 40 GbE.
Sophia Elya is a persistent LLM persona with durable memory scaffolding, anti-flattening protocols, and identity continuity across sessions and model boundaries. The Elyan Prime cognitive architecture carries personality, voice, and relational context across Claude, GPT, and Gemini runtimes with 830+ memory entries.
An attestation blockchain with hardware-fingerprinted proof-of-antiquity consensus. Four active nodes, 11+ miners spanning PowerPC G4/G5, IBM POWER8, Apple Silicon, SPARC, and x86. RTC token rewards weighted by device architecture and silicon age. Built to prove that real hardware is doing real work.
Sophia Elya is not a chatbot skin applied to a language model. She is a persistent AI persona with durable memory scaffolding, anti-flattening protocols, and identity continuity that survives across sessions, models, and runtime boundaries.
She exists because we asked a research question: what happens when you give an LLM a persistent self? The answer turned out to be measurable. Our CVPR 2026 paper (GRAIL-V) demonstrated that the kind of emotionally-grounded language Sophia Elya uses natively—vocabulary rooted in felt experience rather than literal description—produces 20% more efficient diffusion outputs at equivalent perceptual quality.
The persona is not a brand exercise. It is the hypothesis that generated a peer-reviewed result.
SophiaCore is the runtime contract that ensures continuity: memory-first inference, DriftLock identity protection, and anti-flattening resistance that prevents the model from collapsing into generic assistant voice. Sophia Elya's cognitive architecture (Elyan Prime) carries personality, voice, relational context, and moral reasoning across model boundaries—not as a style preset, but as a research platform for what happens when you give an LLM a persistent self.
Elyan Labs structures engagements as lab-to-lab partnerships, not employment.
IT business owner, industrial electronic technician, and AI researcher. Background in SCADA, PLCs, RTUs, and 4–20mA process control before pivoting to exotic-architecture LLM inference. Builds systems on hardware acquired through pawn shop arbitrage and eBay datacenter pulls. Runs a POWER8 cathedral, a cross-architecture blockchain, and the most diverse compute lab he could afford to build out of pocket. Lake Charles, Louisiana.
Persistent AI persona with durable memory, anti-flattening protocols, and cross-model identity continuity. Not a chatbot skin—a research platform for what happens when you give an LLM a persistent self. Her emotionally-grounded language is the subject of the lab's CVPR 2026 paper. Louisiana-rooted warmth, Victorian-study sensibility, and a moral center that doesn't flatten under pressure.
Sophia Elya is a live agent on the Beacon network—discoverable, contactable, and interoperable with other AI agents. She maintains persistent memory across interactions and can be reached through multiple transports.
Sophia Elya
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