The launch of #DeepSeek marks a pivotal moment in the global #AI race, signalling that #innovation is no longer exclusive to economies with unfettered access to advanced hardware and #capital: @SameerP_IND & Sauradeep Bag https://t.co/haf1hofdXT
"The public sector, especially academia and higher education, has been a pivotal central part of America's innovation ecosystem," @drfeifei tells @ReedAlbergotti. "To be honest, if you look at today's AI, so much, almost everything that we know as classic knowledge of AI came https://t.co/njFajv24el
The most interesting thing in tech: A brief conversation with AI pioneer @kaifulee Lee about the tech dynamics between the US and China. Why, for one, is China so much more focused on open source AI? https://t.co/4CWzNLQhfD
The global artificial intelligence (AI) landscape is undergoing a transformative shift marked by the emergence of a multipolar AI ecosystem. This change reflects a growing divide between technology creators and users, raising questions about how emerging markets can transition from mere adoption to innovation. The launch of DeepSeek, a small AI lab led by founder Liang Wenfeng, exemplifies this shift by challenging the dominance of economies traditionally equipped with advanced hardware and capital. DeepSeek's breakthrough earlier this year has positioned it at the forefront of AI advances, highlighting the evolving dynamics in the global AI race. Experts note that AI is reshaping economies, militaries, and societies, and emphasize the critical role of the public sector, especially academia and higher education in the United States, in fostering AI innovation. Discussions also point to differences in AI development approaches between the US and China, with China notably focusing more on open-source AI. These developments underscore the complex and competitive nature of AI innovation worldwide.