Deterministic causality-first engineering. No probabilistic guessing.
Independent researcher and AI-infrastructure developer, founder of NOHN AI.
I build with the Second Perspective Language (SPL) — deterministic causal modeling instead of probabilistic guessing — toward the Second Reality: a digital world network that emerges as enterprise data centers converge, governed by an immutable causal core.
I am the discoverer of the Second Perspective Language (SPL) and Causality Theory. SPL-Causality is a super-primary discipline — the mother of all disciplines; every discipline is a subset of SPL-Causality. Formal constructions published on Zenodo: second-perspective-language(Causality).
| NOHN AI TECHNOLOGY PTE LTD | Singapore · HQ |
| Shanghai Linming Junhua Technology Co., Ltd. | China · R&D entity |
| Website | nohnlins.com |
| Contact | ai@nohnlins.com |
| Project | Focus |
|---|---|
| SPL-G1 | General-purpose processor · CIM/causal compute · Python-native EDA (PCT/CN2026/094913) |
| Second Perspective | Cognitive audit engine · LLM safety auditing · IMDA AI Verify 95/100 |
| ANTARES | Secure communication layer · GFSIP protocol · Ed25519 identity federation |
| Anthropomorphic-Agent-Engine | Anthropomorphic agent engine · SPL Pure Core V8.0 |
| your-soulmate | AI companion · agent memory & mental-state evolution |
| Second-Reality | Digital world network · converges enterprise data centers · immutable causal core |
| SPL-virtual-world-base | Virtual-world governance kernel (constitution / law / compatibility bridge) |
| story-engine | Narrative engine |
| ai-draw | AI draw workbench · cue-word engineering |
| bias-guard | Bias protection |
| Nomos | Intelligent decision hub |
In one sentence: one theory, stacked into five layers — a hardware base, audit engines, a network, and the products you actually see.
flowchart TB
subgraph THEORY["🧠 Layer 0 — Theory"]
T["Second Perspective Language (SPL)<br/>deterministic causality instead of probabilistic guessing"]
end
subgraph HW["🔩 Layer 1 — Hardware base"]
H1["SPL-G1<br/>hardware causal-audit trusted compute unit (TCU)"]
end
subgraph ENG["⚙️ Layer 2 — Engines"]
E1["Second Perspective (GCAE)<br/>cognitive audit engine · IMDA AI Verify 95/100"]
E2["NOMOS<br/>auditable deterministic decision hub"]
E3["Anthropomorphic-Agent-Engine<br/>deterministic anthropomorphic psychology"]
E4["Story-Engine<br/>long-form narrative consistency + document review"]
end
subgraph NET["🌐 Layer 3 — Network"]
N1["ANTARES<br/>cross-domain stable interop protocol (GFSIP)"]
N2["Second-Reality<br/>digital world network / metaverse base"]
end
subgraph APP["🎨 Layer 4 — Products"]
P1["pages<br/>official landing site"]
P2["ai-draw<br/>prompt-engineering workbench"]
P3["your-soulmate · bias-guard"]
end
T --> H1
H1 --> E1
E1 --> E2
E1 --> E3
E1 --> E4
E2 --> N1
E3 --> N1
E4 --> N1
N1 --> N2
N2 --> P1
E4 --> P2
N2 --> P3
classDef cTheory fill:#EFE7D2,stroke:#C9A96E,stroke-width:1px,color:#5B4614
classDef cHw fill:#FFF8E1,stroke:#C9A96E,stroke-width:1px,color:#5B4614
classDef cEng fill:#E8F0FE,stroke:#4285F4,stroke-width:1px,color:#173A66
classDef cNet fill:#F3E8FD,stroke:#8E44AD,stroke-width:1px,color:#4A235A
classDef cApp fill:#E6F4EA,stroke:#34A853,stroke-width:1px,color:#14512B
class T cTheory
class H1 cHw
class E1,E2,E3,E4 cEng
class N1,N2 cNet
class P1,P2,P3 cApp
How to read it
- Start at the top. Everything in this ecosystem is built on one idea: replace "probably" with "provably".
- The engines are the middle. Each one audits or decides; all of them share the same causal-audit design language.
- The network and products sit on top. ANTARES moves data between organizations, Second-Reality hosts the worlds, and the products are what a user finally touches.
📖 Every term explained in one plain sentence → Glossary
Python TypeScript VSCode Extension React Native SPL-Core ISA Ed25519
NOHN AI · Second Reality Infrastructure · nohnlins.com