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/T (Open-weight models can give Taiwan greater control over deployment, adaptation and continuity, but they do not provide technological independence. Dependence remains on compute, cloud infrastructure, software, data, and technical expertise.)
/E (Open-weight models can give Taiwan greater control over deployment, adaptation and continuity, but they do not provide technological independence. Dependence remains on compute, cloud infrastructure, software, data, and technical expertise.)
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/T (For Taiwan, model origin remains a separate security question. Chinese open-weight models may be technically competitive but unsuitable for some government uses. Taiwan should therefore combine strict security screening with a diversified model portfolio and the capability to operate selected approved models locally when external services are disrupted.)
/E (For Taiwan, model origin remains a separate security question. Chinese open-weight models may be technically competitive but unsuitable for some government uses. Taiwan should therefore combine strict security screening with a diversified model portfolio and the capability to operate selected approved models locally when external services are disrupted.)
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/E (Maintain several model options. Taiwan should avoid dependence on one provider or model family, while retaining the ability to assess Chinese models even where their use is restricted.)
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/E (Open-weight AI is creating a different type of choice for governments. In proprietary systems, access to the model remains mainly controlled by the provider, normally through a hosted service or Application Programming Interface \(API\). With open-weight models, trained parameters are made available, allowing other organisations to download and operate the model and, in many cases, adapt it for their own needs. Nevertheless, open-weight does not necessarily mean fully open source because training data, the development process, or some supporting components may remain unavailable.)
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/E (The distinction matters because an organisation may reduce its dependence on the original model provider, while still depending on external computing infrastructure, software libraries, technical expertise, or cloud services. Open weights therefore create more room for control, but they do not by themselves create independence.)
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/E (For Taiwan, as Chinese developers such as DeepSeek, Alibaba, and Moonshot become increasingly prominent high-performing open-weight models, what looks technically like a choice between open-weight and proprietary models can also become a question about security, jurisdiction, and relations with China. In this sense, China adds an important geopolitical layer, which should be considered in the adoption decision.)
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/T (Against this background, this paper asks how Taiwan should approach open-weight and proprietary AI models; at which stage model origin should enter that decision; and how much control open weights actually provide once infrastructure and other dependencies are taken into account. While Taiwan is the main policy focus, Japan and South Korea are used selectively as regional comparators rather than as equal case studies.)
/E (Against this background, this paper asks how Taiwan should approach open-weight and proprietary AI models; at which stage model origin should enter that decision; and how much control open weights actually provide once infrastructure and other dependencies are taken into account. While Taiwan is the main policy focus, Japan and South Korea are used selectively as regional comparators rather than as equal case studies.)
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/E (Similarly, Kimi K3 showed that Chinese open-weight models were also moving into larger, more agentic, and multimodal systems. It became positioned not simply as a cheaper chatbot, but as a large open-weight system for coding, reasoning, long-context work, and more complex agentic tasks.13 For commercial users, such models may be enough to change an adoption decision. A model does not need to be the strongest available if it performs sufficiently well at lower cost or can be adapted more easily.)
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/E (Together, these policies show that Taiwan is already approaching AI in terms of capability, infrastructure, resilience, and governance. What remains less developed is the more specific question addressed here: how Taiwan should choose between open-weight and proprietary models within these security boundaries, and how much strategic control access to model weights actually provides.)
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/T (Taiwan has another reason to consider models that can operate without continuous dependence on overseas services. In February 2023, damage to two submarine cables severely disrupted internet connectivity to the Matsu Islands. Although the incident was local rather than a nationwide outage, it highlighted the vulnerabilities that arise when essential digital services depend on external connectivity.19)
/E (Taiwan has another reason to consider models that can operate without continuous dependence on overseas services. In February 2023, damage to two submarine cables severely disrupted internet connectivity to the Matsu Islands. Although the incident was local rather than a nationwide outage, it highlighted the vulnerabilities that arise when essential digital services depend on external connectivity.19)
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/T (For selected functions, an approved model running on domestic infrastructure could help maintain continuity when an overseas AI service is unavailable, provided that the necessary data, power, authentication systems, and domestic network remain accessible. This illustrates a potential advantage that comes from deploying open-weight models on local servers, although in some cases, proprietary models licensed for offline operation may offer similar benefits.)
/E (For selected functions, an approved model running on domestic infrastructure could help maintain continuity when an overseas AI service is unavailable, provided that the necessary data, power, authentication systems, and domestic network remain accessible. This illustrates a potential advantage that comes from deploying open-weight models on local servers, although in some cases, proprietary models licensed for offline operation may offer similar benefits.)
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/T (Taiwan therefore faces two separate questions. First, does an open-weight model provide meaningful control compared with a proprietary service? Second, is that particular model compatible with Taiwan's security and regulatory requirements? Keeping these questions separate avoids both extremes: assuming that open weights are inherently safe or that proprietary models are inherently more secure.)
/E (Taiwan therefore faces two separate questions. First, does an open-weight model provide meaningful control compared with a proprietary service? Second, is that particular model compatible with Taiwan's security and regulatory requirements? Keeping these questions separate avoids both extremes: assuming that open weights are inherently safe or that proprietary models are inherently more secure.)
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/E (Japan and South Korea are useful comparators because they show that Chinese AI has not produced a uniform regional response.)
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/E (Japan did not introduce the same government-wide prohibition as Taiwan. In February 2025, Digital Minister Masaaki Taira distinguished between using DeepSeek through an application, where information could be transferred to Chinese data centres, and downloading the open model for separate use.20 Government bodies were still required to comply with existing rules on sensitive information and consider the associated security risks.)
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/E (These cases do not mean that Taiwan should follow either Japan or South Korea. Rather, they demonstrate that model architecture, model origin, hosting arrangement, privacy, and national security can be treated as separate policy questions.)
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/E (Access to model weights does not remove dependence on the rest of the AI technology stack. In August 2026, Reuters reported that Moonshot AI was discussing arrangements with Microsoft, Amazon, and Google to make Kimi K3 available through their cloud platforms. In this arrangement, Kimi K3 can be downloaded and modified, but running a model of this scale remains expensive in terms of inference cost. Open weights can therefore reduce dependence on the model developer while leaving users dependent on cloud and computing providers.24)
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/E (Commercially, because both proprietary and open-weight AI systems depend on advanced compute, growth across different model ecosystems can increase demand for the semiconductor capacity in which Taiwan already holds a strong position. However, this strength does not automatically give Taiwanese institutions control over cloud platforms, model software, data, deployment tools, or specialist expertise.)
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/E (Strategic control, however, does not necessarily require control over every layer. Holding a strong position at one critical juncture can reduce vulnerability and provide leverage, particularly when dependencies in other parts of the stack can be diversified. The problem, therefore, is not dependence itself, which is difficult to avoid in such an interconnected technology system, but excessive dependence on a single provider, technology, or external point of failure.)
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/E (Open-weight models fit into this picture in a more limited way. They can reduce dependence at the model layer when overseas services become inaccessible, but only if the necessary compute, security measures, software, technical expertise, and data remain available. In other words, open-weight AI models redistribute dependencies rather than remove them.)
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/T (The Question of Infrastructure Independence )
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/E (Taiwan should apply security requirements before comparing models on performance or cost. For government, critical infrastructure and sensitive data, security and jurisdiction should come first. Once these requirements are met, models can then be compared on capability, cost and suitability)
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/E (for the task. Models should be chosen according to the task, rather than simply because they are the most advanced. Taiwan should assess whether frontier capability is actually needed for a particular use. In many cases, a less powerful model may still deliver the required productivity at lower cost, with better local-language performance or greater control.)
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/E (Taiwan should also identify a limited number of essential public functions for which approved models, required data, authentication, computing capacity and supporting software can be maintained domestically. These arrangements should also be tested under connectivity-disruption scenarios to assess whether essential services can continue operating when external connections are interrupted.)
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/E (Finally, Taiwan should also keep several model options open, including the capacity to understand Chinese models, and avoid becoming dependent on a single provider or model family. Domestic models, approved foreign open-weight models, and proprietary systems can all have a place. Chinese models may remain unsuitable for some government uses; however, Taiwan should still retain the technical capability to assess their development and understand the implications for costs, performance and security.)
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/T (Dr Ayman Akil is a Non-Resident Research Fellow at the Taiwan Research Hub, ԭ, having joined in 2026. )
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/T (His work focuses on technology geopolitics, tracking and diffusion, particularly in AI and semiconductors. He has extensive experience advising governments and research institutions across different regions on research and patent intelligence, technology assessment and innovation policy. He regularly contributes to international conferences, expert roundtables and policy discussions.)
/E (His work focuses on technology geopolitics, tracking and diffusion, particularly in AI and semiconductors. He has extensive experience advising governments and research institutions across different regions on research and patent intelligence, technology assessment and innovation policy. He regularly contributes to international conferences, expert roundtables and policy discussions.)
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/T (Disclaimer: The views expressed in this policy paper are solely those of the author and do not represent the official positions of the author's affiliations. This policy paper was developed independently and does not draw on findings from any ongoing research projects.)
/E (Disclaimer: The views expressed in this policy paper are solely those of the author and do not represent the official positions of the author's affiliations. This policy paper was developed independently and does not draw on findings from any ongoing research projects.)
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