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This week, I was part of a panel in a UK government AI learning journey on AI, and separately I was also asked to comment by a publication on the same subject. I sat down to write the responses and realised something. The answers weren’t really about Singapore. They were about patterns we’ve seen across…
A Snapshot from the frontline of the Future of Work Earlier this week, I captured a screenshot from a working session in TAAF, the agent framework I have been experimenting with. In a single run, the framework spawned eight specialised subagents in parallel — each with a distinct role, each running independently, each reporting back…
Three AI agents working in parallel. One is running a 72-hour autonomous validation loop across 9,750 lesson variants. Another is building out the aiready.sg website. A third is helping me improve TAAF, our agent framework, while I use it in production. I am not writing code line by line. I am directing, judging, correcting, and…
“You are an AI engineer… what do you do?”
If your answer involves PyTorch, data cleaning, or model deployment—you have missed the point.
That is your task. Not what you do.
You hear the statistics. High failure rates. Implementation costs averaging $1.9 million. A workforce largely unprepared for the shift. When you examine global averages, these observations hold water. The confusion is palpable. The costs are substantial. However, we must not confuse a lack of discipline with a lack of potential. At AI Singapore, we have…
Seven years ago, when we launched the AI Apprenticeship Programme (AIAP), people questioned our approach. Real-world projects over academic theory? Skills over degrees? Training passionate self-learners instead of computer science graduates? Today, watching the global tech industry scramble to adapt to AI-augmented workflows, I can confidently say: we were not just ahead of the curve…
In my journey developing AI capabilities for Singapore through AI Singapore’s numerous programs, one thing has become abundantly clear: organizations and individuals need personalized guidance to navigate their AI journey effectively. This is why I am excited to announce major updates of LLX – Laurence Liew Extended – a virtual assistant designed to accelerate your…
When I started with AI Singapore in 2017, my mission was simple – to help 100 companies build AI solutions through our 100 Experiments (100E) programme. Today, that mission has expanded into creating a comprehensive AI ecosystem that positions Singapore as a leading AI-First nation. Recently, I came across Prof Wang Gungwu‘s work, articles, books…
Over the past few months since launching my book “AI-First Nation,” I’ve been reflecting on how rapidly the development landscape is transforming with the rise of AI coding assistants. These reflections have crystallized into some insights I’d like to share with our growing community of AI enthusiasts and professionals. The Changing Reality for Developers AI…
When SMEs approach me about adopting AI, they typically ask: “What AI use cases can I use in my business?” While it seems like a straightforward question, finding the right AI application is not a one-size-fits-all exercise. It’s more art than science, requiring an understanding of both the business context and AI readiness. Beyond the…
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