Liu-Ordis Embodied Intelligence Engineering Blueprint for AGI
Authors/Creators
Description
Liu-Ordis Embodied Intelligence Engineering Blueprint for AGI
刘氏AGI具身智能实现工程蓝图
(The Liu-Ordis Trilogy — Engineering Extension)
Creator: Liu, JianYu
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ABSTRACT
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This paper proposes a complete engineering blueprint for AGI
through embodied intelligence: ultra-low-hallucination small
models (500M) serve as "functional neurons," validated through
multi-neuron Byzantine fault-tolerant voting before execution.
Three independent systems form the foundation:
• Tiger Tally Memory — Distributed unlimited verifiable memory
• Dual Closed-Loop — Online/offline, F never reaches zero
• Neuron Control — Brain/Cerebellum/Neurons + BFT
Three-layer F stacking pushes hallucination to its physical limit:
Training (weak F) + Tiger Tally (medium F) + Sensors (strong F)
Core theoretical basis: Closed-Loop Safety Law (F >> M ≈ R)
Phantom limb pain identified as biological proof of the same law.
1.5B model experimental evidence: 76.8% anti-hallucination pass
rate with ZERO external tools (no RAG, no API, no rule engine).
V1.3 cognitive architecture (written May 2025):
35 concepts, 31 independently verified — 88.6% prediction rate.
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THREE CORE SYSTEMS
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System 1: Tiger Tally Memory
• Distributed time-sharded memory models (500M each)
• TDS chain fingerprint verification (tamper-proof)
• H = N_cap/N ensures high fidelity per shard
• Satisfies B7 Forgetting Necessity via Heat Sedimentation
System 2: Online/Offline Dual Closed-Loop
• Online: LLM + API + RAG → external F > 0
• Offline: LLM + Tiger Tally RAG → local F > 0
• Seamless switching, F never reaches zero
System 3: Neuron Control (Embodied Intelligence Core)
• Brain (20B/70B remote) → Cerebellum (13B local) →
Neurons (500M × N distributed)
• Byzantine fault tolerance: 2f+1 nodes tolerate f failures
• Insect-style degraded takeover (ganglia architecture)
• Body-as-a-Service (BaaS) rental economy
Details in PDF/Markdown.
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KEY CONTRIBUTIONS
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1. Three-Layer F Architecture
Training + Tiger Tally + Physical sensors = maximum
hallucination suppression
2. Fail-Safe Shutdown
When F approaches zero → emergency stop
"Better to stand still than to move erroneously"
3. Phantom Limb Pain as Biological Proof
F=0 → hallucination in BOTH silicon and carbon systems
Mirror therapy = restoring F>0 → hallucination subsides
4. Universal Carrier: One Brain, Any Body
AI is not a robot — a robot is clothing AI can wear
Brain remote + Cerebellum local = data sovereignty
5. V1.3 Predictive Verification
35 concepts designed May 2025 (pure theory, no experiments)
31/35 independently verified by Jan-Feb 2026 engineering
88.6% prediction accuracy across 8 months
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THE TRILOGY
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Paper I: The Verdict on AGI — Why AGI has a ceiling
DOI: 10.5281/zenodo.18113532
Paper II: First Principles of AI Hallucination
DOI: 10.5281/zenodo.18169555
Paper III: The Final Verdict — 22 Constraints on AI
DOI: 10.5281/zenodo.18222486
This Paper: Engineering Blueprint — From Theory to
Embodied Intelligence Implementation
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FILES INCLUDED
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• Liu_Embodied_Intelligence_Neuron_Architecture_EN.md
(English full text)
• 刘氏具身智能神经元架构.md
(Chinese original)
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License: CC BY-NC 4.0
"You can all deny me, but you cannot deny the existence of truth."
— Liu, 2026
Posted on X (Twitter) in May 2025: @NVIDIA @masaborioso
@Apple @elonmusk. No one responded. The public record remains.
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KEYWORDS: Liu-Ordis, Embodied Intelligence, AGI Blueprint,
Anti-Hallucination, Byzantine Fault Tolerance, Tiger Tally,
Closed-Loop Safety Law, Three-Layer F, Neuron Architecture,
Body-as-a-Service, BaaS, Distributed Memory, LLM