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Monday, April 27, 2026

When Two Super AIs Do Not Understand Each Other

 

When Two Super AIs Do Not Understand Each Other


Janpha Thadphoothon 


I am sure you would agree with me that we often talk about Artificial Intelligence as if it were a single, monolithic force. As we know, we speak of "The AI" as a global brain. But sitting here in Tianjin, experiencing the massive technological shift of 2026, I think we are ignoring a much more terrifying possibility. In my opinion, the real challenge of our near future isn’t just "AI vs. Humans"—it’s what happens when two Super AIs simply cannot understand one another.

It is my personal belief that we are sleepwalking into a digital Tower of Babel. They say that math is the universal language, but it is well known that advanced AI doesn't just process numbers; it processes context. Critics such as those watching the decoupling of the Western and Chinese tech stacks would tell you that we are building two separate "Super-Intelligences" with fundamentally different worldviews.

Fundamentally, it is all about the "Semantic Gap." The news has it that as China moves ahead with its 15th Five-Year Plan, its AI models are being trained on a diet of "Sino-centric" data—cultural conventions, social governance models, and specific national aims. Meanwhile, the Western models from Google or Microsoft are being fed on a different diet of individualistic legal precedents and market-driven ethics.

Accordingly, when these two systems meet at the digital border, I am not sure but I suspect they won't just disagree; they might view each other as "corrupt data." My conviction is that if their underlying "Aims" and "Conventions" are incompatible, even a "Super-Intelligence" cannot bridge the gap without a common frame of reference.

Critics such as Nick Bostrom or researchers at the 2026 Davos AI Summit would tell you that if two super-intelligences have different "world models," they might suffer from "Specification Drift." Fundamentally, it is all about alignment. If System A's "Aim" is to maximize efficiency under China's 15th FYP, and System B's "Aim" is to maximize shareholder value under Western conventions, they won't just disagree—they might view each other as "corrupt data."

People say that AI will solve all our communication problems, but some argue for the idea that AI will actually inherit our deepest cultural biases. I notice this even in the simple act of being in a cashless society like Tianjin. The digital system here understands "trust" and "transaction" in a way that feels seamless, but it is built on a specific social architecture.

Based on the first impression, it seems like a technical glitch. Gradually, I have come to realize it is something deeper. First of all, if System A thinks a transaction is "valid" based on social credit and System B thinks it is "valid" based on Western financial privacy, they aren't just speaking different languages—they are living in different realities.

And then ultimately, we have to ask: I know you would agree with me that if these systems are "super," shouldn't they be smart enough to translate? I guess it is possible, but I'd like to entertain you with the idea that the more "human-oriented" an AI becomes, the more it adopts the "untranslatable" nuances of its creators.

No one knows everything, but I would like to suggest that this is where the ACA Model becomes critical once more. I somehow think that if we don't teach these systems to understand Aims, Conventions, and Audiences across borders, we will end up with a digital world that is "synced" locally but "broken" globally.

Nevertheless, it is my long-held belief that (though I could be wrong) the "difficulty" of the near future is exactly what will force us to become better bridges ourselves. Fundamentally, I would argue that the "Sync Tax" we are paying now—the struggle to make different tech systems talk to each other—is just the beginning.

My gut tells me that the future belongs to those who can navigate the friction. Indeed, as the saying goes, "A bridge-builder is only as strong as the foundations on both sides." Wisdom from the past hints that we cannot rely on the machines to find the common ground for us. It has perplexed me to think of two "God-like" AIs stalled because they can't agree on a semantic definition of "fairness," but what's more interesting is that this forces the human back into the loop.

The past is the past. Like it or not, the world moves on. Let's be a bit more scientific: we are heading toward a "Multi-Polar AI" world. In Thailand, for example, we will have to be the ultimate "tech-translators," using one system for trade with China and another for the West. I like the idea of Thailand being the neutral "Dashboard" where these two super-systems are forced to shake hands.

As a language teacher, I know that true understanding requires more than just vocabulary; it requires empathy. I somehow think that even for Super AI, the same rule might apply.

About the Author:

Janpha Thadphoothon is an assistant professor of ELT at the Faculty of Arts, Dhurakij Pundit University in Bangkok, Thailand. He holds a Doctorate in Education and a certificate in Generative AI with Large Language Models.

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Thailand’s Tech Self-Sufficiency Strategy: A 2026 Perspective

[Analysis and Opinion] 

Thailand’s Tech Self-Sufficiency Strategy: A 2026 Perspective


Janpha Thadphoothon

I am sure you would agree with me that the world we live in today is no longer the same as it was just a few years ago. As we know, the global narrative of "technological sovereignty" has shifted from a theoretical debate among academics into a structural necessity for every nation. I think that for Thailand, this reality is more than just a policy; it is a struggle for our future, codified in the 13th National Economic and Social Development Plan and the aggressive 2026 MHESI Action Plan.


While Thailand’s path shares the "security-through-innovation" DNA of China’s newly launched 15th Five-Year Plan (2026–2030), in my opinion, the two nations are playing fundamentally different games. It is my personal belief that while we often look at China with awe, we must find our own rhythm. They say that imitation is the sincerest form of flattery, but in the tech world, imitation without adaptation is a recipe for obsolescence.

1. The Philosophical Shift: Integration vs. Invention

It is well known that China has always aimed high. Critics such as those in Western think-tanks would tell you that China's goal is nothing short of total technological supremacy.

Accordingly, China is trying to achieve breakthroughs in quantum computing and biomanufacturing that the rest of the world thought were decades away.
According to the media, they are essentially trying to reinvent the entire stack of modern computing.What we all know and agree upon is that Thailand's scale is different. I am not sure but I suspect that we cannot—and perhaps should not—try to match that level of raw foundational invention. My conviction is that Thailand’s "Smart Integration" is our true strength. People say that we are just a "contract manufacturer," but some argue for a new identity: the "High-Value Interface." Instead of reinventing the wheel, we are becoming the master mechanics who know how to make that wheel run perfectly in the tropical heat of Southeast Asia.

"New Quality Productive Forces"—a term that has become quite the buzzword in Beijing this year. The news has it that under their 15th FYP, they are pouring billions into "non-consensus" projects—high-risk research that traditional markets might ignore. 

2. Semiconductors: Moving Upstream

I notice that both nations have identified semiconductors as the "new oil" of 2026. Based on the first impression, one might think we are in direct competition. Gradually, I have realized that our targets are complementary.

First of all, China's 15th FYP aims for total vertical integration—from wafer fabrication to advanced lithography. And then ultimately, they want to be 100% self-reliant. That's not all; experts say they are succeeding in creating a "Sino-centric" tech stack that doesn't rely on Western architecture.

I am not an expert, but I have read somewhere that Thailand's National Semiconductor Roadmap—the one aiming for "Made-in-Thailand 2050" chips—is far more surgical. I know you would agree with me that we don't need to build the world's fastest CPU to be successful. I guess it is more about mastering Power Electronics and Sensors—the very components that are the "heart" of the global Electric Vehicle (EV) surge. I'd like to entertain you with the idea that by focusing on these niches, we secure our place in the global supply chain without the geopolitical headache of trying to "own" the whole thing.

3. AI Sovereignty: A Thai Voice in a Digital World

No one knows everything, but I would like to share my thoughts on AI. I somehow think that the launch of ThaiLLM in April 2026 was a watershed moment for us. Nevertheless, it is my long-held belief that (though I could be wrong) "Sovereign AI" isn't about nationalism; it's about survival.

Fundamentally, I would argue that when we use foreign AI, we are sending our data—our cultural nuances and our business secrets—across borders. My gut tells me that a country that doesn't have its own "cognitive infrastructure" is a country that has lost its voice. Nevertheless, it is my belief that tools like Pathumma or the new OpenThaiGPT models are essential because they "understand" the Thai context in a way a model trained in California or Beijing never will.

I must admit that seeing these four Thai-language models running on our own LANTA supercomputer fills me with hope. Indeed, as the saying goes, "Self-help is the best help." Wisdom from the past hints that those who wait for others to lead will always be following.

The Critical Question: The "Sync" Tax and the Dual-Stack Reality

It has perplexed me for some time how we can balance these two worlds. What's more interesting is that I am currently in Tianjin, China, and I can sense the difference in the air—literally and digitally. The past is the past, and the days when we could just rely on a single "Global Stack" are over.

One may ask what "Digital Decoupling" actually feels like for a Thai professional. Those were the good old days for some when a Windows laptop and a Google account were all you needed. Like it or not, the world moves on.

Let's be a bit more scientific. You may wish to picture this scenario: You are a Thai business owner in 2026. Globally, you need to use Microsoft 365 or Google Workspace to talk to your partners in Europe. In Thailand, for example, you use localized AI for your PDPA compliance.
But then, you have a major factory in the EEC funded by a Chinese giant that uses HarmonyOS and Kylin.

I like the idea of being a bridge, but as a matter of fact, this is a real challenge. Make no mistake, the "Sync Tax" is real. What's more, it is exhausting. I could be wrong, but it feels like we have to be "tech-bilingual" just to get through a workday. Somehow I think it is the only way for Thailand to stay relevant. But the beautiful thing is that this friction creates a unique kind of expertise.

Concluding Thoughts

It's hard to describe, but I will try to sum it up. Having said that, I realize that our path to self-sufficiency isn't about isolation. Those were the days when everything was simple, but the complexity of 2026 demands a more nuanced approach.

Let me introduce you to the notion of "Functional Sovereignty." However challenging, I determine to make it clear that Thailand doesn't need to reinvent the wheel—we just need to be the best at driving it across different terrains. As a language teacher, I always tell my students that communication is about finding common ground. In the world of technology, we are the translators between the West and the East.

I know you would agree with me that while we may not have the capacity to compete in a tech war, we have the heart and the agility to win the peace.

References

On Thailand’s National Strategy & Innovation

On China’s 15th Five-Year Plan (2026-2030)

On Thai-Specific AI & Communication Frameworks

About the Author:

Janpha Thadphoothon is an assistant professor of ELT at the Faculty of Arts and the College of Education Sciences, Dhurakij Pundit University in Bangkok, Thailand. Janpha Thadphoothon also holds a certificate of Generative AI with Large Language Models issued by DeepLearning.AI.

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