DeepSeek's AI Model Shakes Up Global Tech Landscape

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DeepSeek's AI Model Shakes Up Global Tech Landscape
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A new AI model from Chinese startup DeepSeek has sent shockwaves through the global tech industry, raising concerns about the pace of Chinese technological advancement and prompting a reassessment of America's competitive standing.

DeepSeek's new AI model has sparked significant concern, rippling from Silicon Valley to Washington. It's surprising that a relatively unknown Chinese startup, with only a couple of hundred engineers, could develop an AI model rivaling the capabilities of America's most powerful tech giants – reportedly at a fraction of the cost and computational power. Experts are intensely debating the type and number of chips DeepSeek utilized, questioning if the company stockpiled them or circumvented U.S.

export controls. The release and rapid adoption of this Chinese AI competitor have already shaken markets, highlighting the intense global competition for talent, and prompting some to question whether the billions invested by U.S. tech companies in chips and data centers have created a sustainable advantage or a precarious barrier. This is a defining moment, a call to action, not a moment of defeat. U.S. researchers are actively reverse-engineering the model and will undoubtedly incorporate DeepSeek's innovative engineering advancements to accelerate progress at home. However, the challenge facing the United States extends far beyond engineering. Technology, economics, and geopolitics are converging in unprecedented ways, and securing the future demands a comprehensive understanding of its implications.Today, a primary foreign policy challenge for the nation lies in harnessing emerging technologies and comprehending their ramifications more effectively than our adversaries. Technology has always shaped geopolitics, from Roman aqueducts to nuclear weapons. But this era is distinct: Never before have so many transformative technologies evolved so rapidly. Glimpses of the future are already unfolding. Generative AI is composing a significant portion of the world's computer code and is projected to contribute trillions of dollars to the global economy annually – comparable to the United Kingdom's GDP. In a potentially historic development, Ukraine is conducting effective naval warfare without a traditional navy, sinking dozens of Russian warships and denying Russia control of the Black Sea through thousands of homemade drones and other improvised weapons, including components sourced from consumer 3D printers. When the COVID-19 pandemic emerged, the first Swiss case originated from the internet, not infected humans. In February 2020, researchers at the University of Bern successfully recreated the virus within a week using yeast, published genome sequences from China, and mail-order DNA, even before the first human case was reported in the country. In today's interconnected global economy, technological competition has escalated into a high-stakes geopolitical battleground. There is no need to speculate about the intentions of America's adversaries; they openly declare them. Russian President Vladimir Putin has asserted that whoever controls AI will rule the world. Chinese President Xi Jinping has made no secret of his ambition to surpass the U.S. as a technological power, actively acquiring, stealing, and developing capabilities in diverse fields, ranging from synthetic biology to batteries. Last year, China surpassed the U.S. in the number of highly cited scientific publications globally. And China is doubling down on investment, allocating 1.3% of its GDP to research, while U.S. federal spending has dwindled to just 0.65% of GDP. Sustaining American innovation leadership is crucial for the nation's economic prosperity and security. It is also fundamental for maintaining a vibrant global technology innovation ecosystem and securing its benefits for the U.S. and the world. This new era of technology-driven competition raises critical questions about how America approaches intelligence gathering, basic science research, and its overall approach to technological development. Universities can play a pivotal role in navigating this complex landscape. In 2023, we partnered with Stanford University colleagues to launch the Stanford Emerging Technology Review (SETR), the first-ever collaboration between the School of Engineering and the Hoover Institution. SETR assembles nearly 100 leading science and engineering faculty, social science faculty, and policy experts to assist decision-makers in understanding discoveries in laboratories and around the world, along with their geopolitical implications – at a pace that is relevant and timely. Beyond demystifying technologies and dispelling misconceptions, SETR identifies key trends and themes that transcend disciplines and often remain overlooked. Four themes stand out prominently. First, 'policymakers' encompass a broader spectrum than just government officials. Scientists, engineers, investors, and executives also wield significant policymaking power, even if they may not fully recognize it. Every new invention carries inherent policy choices. Early iterations of Google's Gemini AI model did not unintentionally generate images of female popes and Black Nazis. Google engineers prioritized mitigating gender and racial bias in their algorithmic design over historical accuracy. DeepSeek's AI model deliberately avoids engaging with any topic that might offend the Chinese Communist Party. As these examples illustrate, technology is inextricably intertwined with policy decisions.

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