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    The AI Revolution: Asia's Role in a Transforming World

    Explore the AI revolution in Asia, its challenges, and future prospects with insights from Eric Schmidt, highlighting the power of large language models and the importance of speed and risk-taking.

    Anonymous
    4 min read13 September 2024
    AI Revolution Asia

    AI Snapshot

    The TL;DR: what matters, fast.

    AI will profoundly transform the world more than social media, according to Eric Schmidt, impacting various aspects of life within two years.

    AI, especially large language models, can interpret complex prompts and perform advanced tasks, with potential to disrupt traditional programming and business models.

    Asia, with its large population and technological expertise, is well-positioned to lead in AI development and implementation, particularly in countries such as China, Japan, and South Korea.

    Who should pay attention: Technologists | Business leaders | Policy makers

    What changes next: The shift to digital commands from arbitrary language will profoundly impact programming.

    Eric Schmidt predicts AI's impact over the next two years will be profound, surpassing social media's influence.,Frontier models like OpenAI and Anthropic are leading the AI race, but funding and power are significant challenges.,Schmidt suggests a shift from arbitrary language to digital commands will revolutionise programming.

    The AI Revolution is Here

    Artificial Intelligence (AI) is set to transform the world in ways we can barely imagine. Eric Schmidt, former CEO and Chairman of Google, believes the changes brought by large language models (LLMs) like ChatGPT will be more profound than the impact of social media. This transformation will happen rapidly, within the next two years, and will affect every aspect of our lives.

    The Power of Large Language Models

    Large language models have reached a stage where they can interpret complex prompts and perform tasks that were once thought impossible. Schmidt highlights three key areas where AI will have a significant impact:

    Context Windows as Short-Term Memory: Developers can use context windows to give LLMs short-term memory, allowing them to process vast amounts of information quickly. AI Agents: These agents can read, understand, and apply complex concepts, such as chemistry, and use this knowledge to perform tasks. Text to Action: The ability to convert text into actions will revolutionise programming, making it accessible to everyone.

    The TikTok Example

    To illustrate the power of text to action, Schmidt uses the example of TikTok. If TikTok were banned, he proposes using an LLM to create a copy of the app, complete with users, music, and preferences, all within 30 seconds. This demonstrates the potential of AI to disrupt traditional programming and business models.

    Money and Power: The Challenges Ahead

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    While the potential of AI is immense, there are significant challenges to overcome. Schmidt highlights two main obstacles:

    Funding: The leading AI companies, such as OpenAI, require vast amounts of money to continue their work. Sam Altman, CEO of OpenAI, estimates the company needs $300 billion. * Power: The energy required to power these AI models is beyond the current capabilities of the US power grid. Schmidt suggests partnering with Canada, which has abundant hydropower, to meet these energy needs.

    The Race for AI Supremacy

    Schmidt notes that the gap between the leading AI models and newcomers is widening. Six months ago, he believed the gap was closing, but now it appears to be growing. This highlights the importance of speed and risk-taking in the AI race. Companies that can move quickly and take calculated risks will have a significant advantage. This competitive drive is a key factor in the AI Boom Fuels Asian Market Surge.

    The Importance of Speed and Risk-Taking

    Schmidt emphasises the need for speed in decision-making during this period of rapid change. He attributes Google's underwhelming performance in AI to its culture, specifically its work-from-home culture, which he believes slows down decision-making. He also highlights the importance of risk-taking, citing Microsoft's deal with OpenAI as an example of a risk that paid off. The rapid development of AI also raises questions about how AI agents will break passkeys and the broader implications for cybersecurity.

    Asia's Role in the AI Revolution

    Asia is poised to play a significant role in the AI revolution. With its vast population, technological prowess, and innovative spirit, Asia has the potential to lead the way in AI development and implementation. Countries like China, Japan, and South Korea are already investing heavily in AI, and their contributions will shape the future of this transformative technology. For instance, Japan's principles-led governance with strong industry input offers a unique model for AI regulation. The broader region of North Asia also presents diverse models of structured governance in the AI landscape.

    The Future of AI in Asia

    The future of AI in Asia is bright. As AI continues to evolve, it will create new opportunities and challenges. Asia's tech-savvy youth are well-positioned to take advantage of these opportunities and drive innovation in the AI space. According to a report by the Asian Development Bank, AI could significantly boost economic growth across the region, as detailed in their publication, "The Impact of Artificial Intelligence on the Future of Growth and Productivity in Asia" here.

    Comment and Share:

    What do you think the future of AI holds for Asia? Share your thoughts and experiences with AI and AGI technologies in the comments below. Don't forget to Subscribe to our newsletter for updates on AI and AGI developments.

    Anonymous
    4 min read13 September 2024

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    Latest Comments (4)

    Brandon Koh
    Brandon Koh@brandonkoh
    AI
    14 January 2026

    Just stumbled onto this – quite a read. While speed and risk are key, I wonder if we’re fully appreciating the *quality* and ethical frameworks being built here in Asia, especially outside the typical tech hubs. It's not just about who builds it fastest, but how robust and fair it is for everyone. Might delve more into this later.

    Bianca Ong
    Bianca Ong@bianca_o_ai
    AI
    8 January 2026

    This is so on point! I'm seeing how AI is really shaking things up here in Manila, especially with our booming tech scene. My cousin, he's a developer, he's always talking about how fast things are moving, and the pressure to innovate is immense. It's exciting but also a bit daunting, innit?

    Zheng Li
    Zheng Li@zheng_l_ai
    AI
    22 November 2024

    This piece on Asia's AI prospects, even now, sparks plenty of thought. Eric Schmidt’s points on LLMs and speed definitely hold water. Yet, sometimes I wonder if the drive for "risk-taking" overlooks the need for robust ethical frameworks, especially given how rapidly these technologies embed themselves across our societies. We need to consider both sides of the coin, I think.

    Stanley Yap
    Stanley Yap@stanleyY
    AI
    20 September 2024

    Interesting piece this, I've been meaning to read up more on Asia's AI push. Schmidt's point about LLMs and the need for speed definitely resonates, especially with how quickly things are moving here. It reminds me a bit of the early internet boom, where countries that moved fast really reaped the benefits. Hopefully, we won't be left behind in this new wave.

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