How Korea and Japan Are Playing the AI Game: Insights from Wrtn, CLOVA X, and the Localization of AI
AI is not just about the US and China. Korea's Wrtn and CLOVA X, as well as Japanese companies' localized approaches, are taking a different path, prioritizing "sovereign AI" and local languages. This article explores how Korea and Japan are using localization to differentiate themselves and what lessons Taiwan, which also emphasizes Traditional Chinese, can learn from their experiences.
When discussing AI superpowers, people often think of the United States and China. However, if you shift your focus to Korea and Japan, you'll discover a distinct and noteworthy approach: instead of competing to build the largest model, they focus on creating AI that 'best understands our own language and lifestyle'.
Korea's Nationwide AI Gateway: Wrtn
Wrtn（뤼튼） is a wildly popular AI platform in Korea, and its brilliance lies in integrating multiple top-notch models into a single interface, offering a wide range of free features, and lowering the barrier for ordinary people to use AI. For Korea's younger generation, Wrtn has become the 'AI portal', and this 'aggregation + free + localization' strategy is well worth studying.
Naver's Sovereign AI: CLOVA X
CLOVA X is the flagship product of Naver, Korea's largest portal site, backed by its self-developed HyperCLOVA X model. Its greatest value doesn't lie in being 'stronger than GPT', but in being 'more understanding of Korea' – deeply comprehending the Korean language context and connecting Naver's shopping, maps, and reservation services to create experiences that general models can't provide.
Japan: A Cautious yet Solid Localization Approach
Japan's approach is more practical and down-to-earth. From telecommunications giant LINE (LY Corporation) to various enterprises, the focus is on combining AI with existing local services and rigorous data governance, while investing in the development of large Japanese language models. Japan's high demands for privacy and quality have driven the development of solid localization capabilities.
What Can Taiwan Learn from the 'Localization AI' Approach?
This is the key point. The experiences of Korea and Japan offer Taiwan three practical insights:
First, language is a moat. General models often struggle to grasp small languages and local cultures, whereas models focused on localization can excel. Traditional Chinese, Taiwanese expressions, and local knowledge are areas where international large models are relatively weak, and this is an opportunity for Taiwan's AI.
Second, integrating local services is more important than competing on parameters. CLOVA X doesn't rely on having the largest model to win; instead, it connects local life services. If Taiwan wants to develop AI, it should focus on deeply integrating with local needs rather than chasing scale.
Third, sovereignty and data autonomy have value. When relying on foreign companies becomes a concern, 'keeping data in our own hands with local AI' is a selling point in itself.
Taiwan already has tools like 雅婷逐字稿 that focus on traditional Chinese and Taiwanese languages, as well as projects like TAIDE for traditional Chinese models. The stories of Korea and Japan tell us that small markets don't have to be inferior; by doing 'the most understanding of localization' to the extreme, we can create the strongest differentiation. To learn more about Taiwan's own AI, you can continue reading Taiwan's own AI current situation.
Frequently Asked Questions
What is Wrtn, and can it be used in Taiwan?
Wrtn is a popular Korean AI platform that integrates multiple models and offers many free services, focusing on lowering the barrier to entry. While it primarily targets the Korean market, Taiwanese users can reference it for product design inspiration.
What is "sovereign AI" or "localized AI"?
Sovereign AI refers to AI systems built around a country's language, culture, and local services, emphasizing data autonomy and understanding of local contexts. CLOVA X is a notable example of this approach.
What insights can Taiwan gain from Korea and Japan's experiences?
Language and local knowledge are key differentiators, integrating local services is more important than competing on parameters, and data autonomy is a selling point in itself – these three points align with the opportunities for Traditional Chinese AI in Taiwan.