MDDI 演讲稿 · 2025-03-13
高级政务部长Janil Puthucheary在Meta Llama孵化器计划新加坡启动仪式上的致辞
高级政务部长Janil Puthucheary在Meta Llama孵化器计划新加坡启动仪式上的致辞
要点
- • Meta在新加坡启动Llama孵化器计划，收到逾100份申请，为期六个月，设初创企业、中小企业及政府机构三条专属赛道。
- • 新加坡于2023年发布《国家AI战略》第二版，在首版及智慧国家议程基础上，纳入大型语言模型领域的最新进展。
- • 孵化器内嵌「负责任AI设计」理念，将借助资媒局旗下开源治理工具AI Verify与Project Moonshot，提升用户对AI产品的信任。
- • Llama模型已部署于新加坡政府商业云平台，公共部门人员借此开发并向全体政府机构交付AI产品。
- • Meta孵化器汇聚AI Singapore、SG Innovate、e27及德勤等合作伙伴，进一步深化新加坡与Meta的AI战略合作关系。
- • 新加坡将「以最优技术促进公共利益」定为AI核心战略愿景，以此统领所有合作、生态建设与人才发展工作。
完整译文（中文）
MDDI 英文原文译文 · 翻译日期: 2026-06-21
数字发展与信息部高级政务部长贾尼尔·普图切利博士（Dr Janil Puthucheary）在新加坡 Meta Llama 孵化器计划启动仪式上的开幕致辞（2025年3月13日）
1. 欢迎出席 Meta Llama 孵化器计划在新加坡的启动仪式。
2. 本计划收到了逾100份申请，其中不乏许多极具创意的提案，令我深感振奋。
3. 在座的各支团队，接下来六个月，你们将与导师及合作伙伴携手踏上一段意义非凡的旅程，借助领先的 AI 工具开发应对现实挑战的解决方案。这将是一段令人振奋、充满意义的旅程！
4. 与你们一样，新加坡政府也一直在踏上与 AI 同行的旅程。这一旅程始于多年前，是彼时智慧国家之旅的延伸。最新的迭代着眼于技术驱动下社会、经济与政府的全面转型。我们认识到，AI 的运用有潜力改变新加坡的运作方式，并帮助我们突破过去60年来一直面对的现实物理局限。
5. 随着技术驱动发展的步伐不断加快，我们必须努力确保自身处于前沿。这需要我们致力于构建合作关系、打造生态系统，并培育你们所代表的那种人才与能力。
6. 我认为，作为政府，我们做得并不差。有哪些指标可以说明这一点？去年年底，我有幸出席了一场专为非技术类公务员举办的全政府提示词工程竞赛。竞赛的最后一项任务是为虚构的"新加坡2100年奥运会"搭建一个功能完整的网站。参赛者须在八分钟内解决有关交易、订票及宣传推广的问题。最终赢得比赛的，是一名身着 SCDF 制服、刚完成24小时轮班的在职消防员。
7. 仅凭我能讲述这个故事——有一个生态系统在支持公共部门官员提升能力、交付真实产品——我认为，这本身就使我们与众不同。
8. 我们认为，另一个令我们与众不同之处在于我们的国家 AI 战略。2023年，我们发布了第二版，在第一版经验的基础上，同时结合大型语言模型的发展——正是这些发展改变了我们今天所探索的部分机遇。
9. 在整个过程中，我们始终与私营部门携手合作。我们并没有打算将一切都由政府包办的想法。我们工作的大部分是与私营部门合作，汇聚应用场景与机遇，并最终确保与私营部门所代表的专业人才建立合作关系。
10. 加速器计划是其中的重要组成部分。我们已与多家科技企业开展此类合作，同时也尝试自身扮演加速器的角色。我们设有 Lorong AI——一个连接政府与私营部门的空间。人们不仅可以在此分享运用 AI 解决问题的方法，政策制定者和政府人员也能直接从参与者处了解他们如何应对 AI 产品开发与部署相关的问题。
11. 我们还支持各类平台汇聚并展示来自整个区域的最佳创意。各方参与者以截然不同的方式应对某些问题，这对我们的学习非常有价值。其中一个例子，当然就是 Simon 所提到的 Meta AI 加速器。全新的 Llama 孵化器是这段旅程的新篇章，是我们在 AI 领域工作的可喜补充，并带来了几项重要特色。
12. 首先，是为参与的中小企业、初创公司和政府机构设立专属赛道的理念。这一安排认识到，这三个赛道各自面临不同的挑战，在如何培育技能与开发产品方面也可能有着不同的需求。
13. 初创公司赛道帮助初创企业将 AI 融入业务运营，提供诸如完善 MVP 概念、验证原型以及市场进入策略等方面的指导。对中小企业而言，则聚焦于如何创建并整合定制化 AI 解决方案，以提升运营效率与竞争力。因此，这是对"没有放之四海而皆准的方案"这一现实的认可。
14. 第二个重要特色，是融入计划的"负责任 AI 设计"理念。这一理念认为，AI 安全不仅是政策层面的基本概念，更是为客户群建立产品信任的根本所在。
15. 据我了解，孵化器计划将借助 IMDA 的 AI 治理工具，包括对若干安全关键应用场景的深度探讨。
16. IMDA 拥有这些工具和框架，再次印证了公共部门官员长期以来的努力——以不制约创新、不阻碍新加坡丰富生态系统发展的方式思考 AI 安全。多年来，他们与国际伙伴及私营部门携手合作，深入探索并理解如何在用户群体中建立信任。
17. 为此，他们开发了治理测试框架及 AI Verify、Project Moonshot 等开源工具。今天晚些时候我们将听到相关介绍，希望大家能够使用这些工具，借助其所代表的经验，将你们的产品与创意推向更高层次。
18. 当然，Simon 所提到的第三个重要特色，是 Llama 所依托的开源技术。开源方式的核心成果在于，即便不是天然的用户或开发者，任何人都能以极低的门槛即时进入开发流程。这种开源方式让新的群体得以实验并受益于你们的 AI 平台。
19. 正是这种赋能产业、研究和政府创新的能力，是由成熟 AI 工具所发展出的开源方式带来的重要成果。这是将生成式 AI 民主化、惠及更广泛利益相关者群体的体现。
20. Llama 是我们政府通过政府商业云平台所使用的模型之一。我们的公共部门官员不仅借助该平台进行实验与探索，更以此开发产品，并向整个公共部门推广部署。
21. 以 Llama 为核心的孵化器与新加坡对开源方式的支持高度契合。因此，我们的机构确实一直支持该孵化器的发展。令人振奋的是，Meta 汇聚了来自我们生态系统各方的广泛合作伙伴——AI Singapore、SG Innovate、e27 和 Deloitte。这凸显了新加坡与 Meta 在 AI 领域日益深化的合作关系。
22. 归根结底，这一切都植根于新加坡对 AI 使命的特定愿景——推动公共利益。在众多可能的路径中，我们必须深思熟虑，明确自身的重点所在。当然，我们寻求合作伙伴关系、商业机会、人才培育与应用场景，但归根结底，这一切都必须聚焦于一个战略愿景。我们希望向新加坡、向世界证明，使用最优秀的技术能够、也应该服务于公共利益。这是我们的愿景。我们所有的合作与伙伴关系都是为了推进这一愿景，我们非常高兴拥有志同道合的伙伴与合作者，他们对 AI 能够实现的目标抱有相似的愿景。
23. 因此，我们期待在 Demo Day 看到你们众多的解决方案，共同庆祝你们的成功。我们期待你们的 AI 应用场景在新的受众群体中广泛传播，也期待你们现有的受众意识到——许多他们从未以为自己能做到的事，如今因为你们开发了最顶尖的前沿工具而成为可能。
24. 我们期待你们的探索，并希望借此激励更多人尝试 AI、开发工具，成为通过 AI 改变我们的社会与世界的催化力量。
25. 非常感谢大家。
英文原文
MDDI 官网原始记录 · 抓取日期: 2026-06-21
Opening remarks by Dr Janil Puthucheary, Senior Minister of State for Digital Development and Information, at the launch of Meta’s Llama Incubator Programme in Singapore (13 March 2025)
1. Welcome to the launch of Meta’s Llama Incubator programme here in Singapore.
2. I am heartened by the enthusiasm of this programme, having received over 100 applications with many very interesting proposals.
3. To the teams here, you will embark on a meaningful journey with mentors and partners over the next six months and work with leading AI tools to develop solutions that address real world challenges. It will be an exciting and meaningful journey!
4. Just like you, the government in Singapore has been embarking on a journey with AI. We started this years ago as an extension of what was then our Smart Nation journey. The latest iteration considers the technologically driven transformation of our society, economy, and government. We recognise that the use of AI can potentially transform what we do here in Singapore and allow us to overcome the very real, physical constraints that we have had to deal with for the last 60 years.
5. As that pace of technologically driven development increases, we have had to work to make sure that we're at the forefront. And that has required work to build partnerships and build an ecosystem and have the talent and capabilities that you represent.
6. I think we have not been doing too badly as a government. What are some of the markers of this? Well, towards the end of last year, I had the pleasure of attending a government-wide prompt engineering competition specifically for non-technical officers. The last task in the competition was to build a functioning website for a fictional Singapore 2100 Olympic Games. Participants were given eight minutes to solve issues regarding transactions, bookings and publicity. The person who won the competition was a serving fireman who turned up in his SCDF uniform after a 24-hour shift.
7. So just the fact that I can tell this story – that there's an ecosystem out there supporting public sector officers in capability development and delivering real world products - I think that sets us apart.
8. Another way we think we are set apart is our National AI Strategy. We launched the second version in 2023, building on what we had learned from the first version, and of course, considering the developments in Large Language Models that have transformed some of the opportunities we are working on today.
9. Throughout all this, we have worked with the private sector. We do not have this idea that we are going to do everything within the government. The bulk of what we do is in partnership with the private sector, crowding in use cases and opportunities, and ultimately making sure that there are partnerships with the skilled talent that the private sector represents.
10. Accelerator initiatives are an important part of this. We have done this with various tech players, but we have also tried to be an accelerator ourselves. We have Lorong AI, a space where we connect the government with the private sector. People can share not just the way in which they solve problems with AI but have policy makers and the people in government to understand directly from the participants how they're addressing some of the issues associated with the development and deployment of AI-based products.
11. We've also supported platforms to gather and showcase the best ideas from across the region. The players are approaching some problems in very different ways, and that's very useful for us to then learn from. And one of these examples is, of course, Meta’s AI Accelerator that Simon talked about. The new Llama Incubator is a new chapter in this journey. It's a very welcome addition to what we're doing in the AI landscape, and it brings a few important features to the table.
12. Firstly, is the idea of dedicated tracks for participating SMEs, startups, and government agencies. There’s a recognition that each of these three tracks has a different set of challenges and perhaps a different need around how they develop skill sets and products.
13. The startup track helps startups integrate AI into business operations, providing guidance on things like refining MVP concepts, validating prototypes, and strategies for entering markets. For SMEs, it's how to create and integrate custom AI solutions to boost operational efficiency and competitiveness. So, it's a recognition that there's no one size fits all.
14. The second important feature is the ‘Responsible AI by Design’ that's built into the programme. It’s the understanding that AI safety is not just a fundamental concept at the policy level, but it's fundamental in promoting trust in these products for the customer base.
15. I understand the Incubator is looking to leverage on IMDA’s AI Governance tools, including deep dives on a few of these safety critical use cases.
16. The fact that IMDA has these tools and frameworks, again, is a testament to the work that public sector officers have been doing for some time - thinking about AI safety in a way that has not constrained innovation and the development of a rich ecosystem here in Singapore. And they have been doing this for years, working with international partners and the private sector to develop a deep interest and understanding of what it takes to build trust in the user base.
17. And so, they've developed governance testing frameworks and open-source tools such as AI Verify and Project Moonshot. We will be hearing about those later today, and we hope that you will use them and use the experience that they represent to then take some of your products and ideas forward.
18. And of course, the third important feature Simon spoke about is the open-source technology that Llama is built around. And the key outcome with any open-source approach is that a person who is not a natural user or developer can have immediate access with a very low barrier to the development process. This open-source approach allows new groups of people to experiment with and benefit from your AI platform.
19. And it is that enabling of innovation in Industry, Research, and Government that is an important outcome from the open-source approach developed by sophisticated AI tools. It is the democratisation of Generative AI to a wider group of stakeholders.
20. Llama is one of the models used in our government, through our Government Commercial Cloud platform. Our public sector officers are leveraging the platform not just to experiment and tinker but develop products that then ship out to the rest of public sector and get deployed.
21. A Llama-focused incubator aligns very well with Singapore's support for open-source approaches. So, our agencies have indeed been supporting the development of this incubator. And it's encouraging that Meta has pulled together a broad set of partners from across our ecosystem - AI Singapore, SG Innovate, e27 and Deloitte. This highlights the growing partnership between Singapore and Meta on AI.
22. Ultimately, all of this is anchored on a particular vision that we have in Singapore around what we want AI to do, and that is to drive the public good. We must think through carefully, out of all the many ways in which we can approach this, what is our focus going to be? Of course we look for partnerships, business opportunities, talent development, and use cases, but ultimately, it must focus and come together around a strategic vision. And what we want to demonstrate here in Singapore and to the world is that the use of best-in-class technology can and should be for the public good. And we have that as a vision. All our collaborations and partnerships are to move to that vision, and we are very glad that we have partners and collaborators who have a similar vision of what AI can do.
23. So, we look forward to seeing all your many solutions and celebrating all your successes at Demo Day. And we look forward to a wide proliferation of your AI use cases amongst new audiences, and for your existing audiences to realise there are many things they never thought they could do, but which they now can because you have developed the best in class cutting edge tool.
24. We look forward to your approach, and to inspire many others to experiment with AI, develop tools, and become a catalyst through using AI to transform our society and our world.
25. Thank you all very much.