Systems, vision, and ideas that stand the test of time
Notes on systems architecture, AI in enterprise and the physical world, and long-term technology decisions for emerging markets.
I don't write this blog to chase trends.
I write about things I believe will still hold up in 10 years — systems architecture, how enterprises make decisions, how AI is rewriting the definition of "software". Each post is a view from the field: from building operating systems for factories, fintech, to retail. No theory in a vacuum, no hype.
If you're building something for the long term — a product, a company, a career — I hope a few posts here help.
Topics
Intelligent Operating Systems
How AI is replacing middle-management layers and operational decision-making. Architecture for AI-native enterprises. When automation wins, when it doesn't.
AI-Powered Sales
Sales pipelines orchestrated by AI. Personalization at scale. Why the traditional SaaS model will fundamentally change in the next five years.
AI × The Physical World
IoT is no longer just sensors. It's how AI takes a body in the real world. From the retail floor to the factory, from cold storage to transit — this is where real value gets created.
IoT & Connectivity Protocols
The protocol layer every physical AI product depends on: MQTT, OPC-UA, Modbus, BLE, LoRaWAN, Matter, private 5G. Why picking the wrong protocol can kill an IoT project — and how to pick right from day one.
The Future of Finance & Banking
Banking-as-code. AI-native lending. Why incumbent banks will have to reinvent themselves or be replaced. Opportunity in Vietnam and Southeast Asia.
AI-Native Engineering
How engineers build software when AI can already write code. Generative codebases, pair-programming with agents. The end of the "junior dev" — and the beginning of a new kind of engineer.
Humanized Technology
Technology should adapt to humans, not the other way around. Voice-first interfaces, ambient computing, AI making UI disappear. When tech becomes good enough to… no longer feel like tech.
Founders & Leaders in the AI Era
Operating mindset when every employee has 10 AI agents. Lean organizations, faster decisions. How Vietnamese founders can break through in the global AI wave.
Reshaping Tech Across Every Industry
AI isn't a single industry. It's a new layer beneath every industry. Perspectives on which sectors will change fast, which slow, and why.
Where to start
Three paths through this blog, depending on who you are.
You're a founder or operator
How AI changes the way enterprises make decisions and run at scale.
You build systems
From software architecture to the protocols that wire the real world.
You're curious about AI × the physical world
From retail floors to factories — AI taking a body in the real world.
Frequently asked questions
What is this blog about?
Systems architecture, AI in enterprise, AI in the physical world, and long-term technology decisions for emerging markets.
How often do new posts come out?
No fixed schedule. I write when something is worth writing — quality over cadence. Subscribe via RSS to stay updated.
What language are posts in?
English by default. Many posts have Vietnamese versions — switch via the flag in the navigation.
Can I quote or translate posts?
Yes, with attribution and a link back. For larger collaborations, reach out via GitHub or X at @tuanpmt.
Can AI bots read this blog?
Yes. Every post has a plain markdown version at /posts/{slug}.md, a /llms.txt index, and RSS at /rss.xml.
Featured
2026-05-21The Cost of Intelligence: Why a High IQ Won't Save You from Yourself
Smart people don't motivated-reason less — they motivated-reason more elegantly. IQ is a multiplier: it scales intent in whichever direction intent is already pointing, right or wrong. On the four forms of motivated reasoning in high-IQ people and why every purely-internal solution fails.
Recent posts
All posts →
The Invisible Ceiling: Why Most Engineers Stall at Mid-Level — and Why AI Is Making It Worse
Most engineers who plateau at mid-level for a decade aren't held back by intelligence, time, or opportunity. They're held back by their inability to look honestly at what they're missing. This isn't a technical problem — it's an integrity problem. And in the age of AI, this problem is becoming dangerous in ways we've never seen before.
Inception và nghệ thuật cấy ý tưởng vào tiềm thức
Inception cho ta xem từng bước cụ thể của việc cấy ý tưởng vào tiềm thức: vì sao phải vào giấc mơ, quy luật phiên bản đơn giản nhất, kiến trúc tầng, chiến thuật Mr. Charles, cảnh két sắt, totem và bài học từ Mal. Mỗi kỹ thuật của Cobb tương ứng với một quyết định thiết kế cụ thể cho người đang xây AI agents — và một trách nhiệm đạo đức cụ thể.
First principles, KISS, and why AI will reward engineers who think simply
Two old principles just became the most important skills of the next decade. AI amplifies good judgment and amplifies bad judgment. The difference is the ability to return to basic truths.
Karma, Vāsanā, and the Brain as a Prediction Machine
Karma is not a vague metaphysical concept — it is vāsanā, behavioral patterns finetuned deep enough to run on autopilot. This essay places sīla-samādhi-paññā alongside Hebbian learning, predictive coding (Friston), constructed emotion (Barrett), and three distributed brain networks (DMN/SN/CEN) — to show why 'knowing but not doing' is not a bug, but a feature.