An artificial-intelligence knowledge system · Vietnam
Artificial intelligence,
for Vietnam.
A curated knowledge gateway on AGI, the development of AI, quantum computing and the homeland’s artificial-intelligence ecosystem — accurate, sourced, and honest about what is real versus hype.
Foundations
The core science of machine intelligence
AGI
General intelligence
Definitions, technical roadmaps, agentic architectures, memory, and self-improvement on the path toward artificial general intelligence.
5 articles →AI Development
How AI is created
Agent architectures, memory systems, automation tooling, alignment, and the process of building real AI products.
5 articles →Quantum
Quantum computing
Qubit fundamentals, hardware platforms, algorithms, the 2026 state of play, and the real intersection between quantum and AI.
5 articles →Vietnam
Artificial intelligence for the homeland
AI in Vietnam
The domestic ecosystem
Companies, research institutes, national policy, Vietnamese-language models, and digital sovereignty.
2 articles →Applications
AI in everyday life
AI in healthcare, agriculture, education, and public administration — opportunities, real examples, and risks.
2 articles →Data & Infrastructure
Operational foundations
Compute infrastructure, data centers, Vietnamese-language data, and national model sovereignty.
2 articles →Direction
Vision, ethics, and governance
Ethics & Law
Responsible AI
Bias, transparency, AI safety, and the legal frameworks of Vietnam and the world.
2 articles →The Future
Convergence 2026–2035
Dual-model research (Claude × Gemini) on the convergence of AGI, AI, and quantum, the road to AGI, and the socio-economic impact through 2035.
5 articles →Recently updated
Agentic Architectures: ReAct, Reflexion, Planning, and Multi-Agent Coordination
A practical survey of the reasoning patterns behind autonomous AI agents, from ReAct and Reflexion to planning, self-consistency, and the trade-offs of multi-agent coordination.
◈ AGIFrontier Models in 2026: An Overview and Capability Roadmap
An overview of the 2026 frontier model landscape, the capabilities they have unlocked, the limitations they still face, and the practical roadmap from here towards more general intelligence.
◈ AGIBuilding an AGI-like Autonomous Agent: A Practical Overview
A practical, end-to-end overview of how an AGI-like autonomous agent is actually built, covering the control loop, model routing, tools, memory, safety guardrails, and evaluation.
◈ AGIMemory and Self-Improvement in AI Agents
How autonomous agents remember and improve over time without retraining, including the four-tier memory model, Reflexion, Voyager-style skill libraries, and prompt optimization with GEPA.