Summarize this content to 2000 words in 6 paragraphs in Arabic Stay informed with free updatesSimply sign up to the Artificial intelligence myFT Digest — delivered directly to your inbox.The writer is a founding partner of Hong Kong-based VC firm IN. CapitalDeepSeek has forever altered the trajectory of global rivalry in tech. In China, founder Liang Wenfeng has become a local champion. For a country where overseas degrees \u2014 especially those in the US \u2014 are still perceived as more prestigious than their domestic equivalent, students and parents have been stunned to discover that his artificial intelligence start-up\u2019s research team were all educated domestically. Beijing is more confident than ever in its pursuit of the technology.\u00a0DeepSeek\u2019s success undermines the barriers that have been created in the US-China tech war. The Hangzhou-based company\u2019s decision to release a low-cost, open-sourced AI model, alongside detailed disclosure of its training methods, means that everyone, from researchers in S\u00e3o Paulo to start-ups in Stockholm and doctors in Nairobi, can access state-of-the-art AI at little to no cost.\u00a0Within the Chinese start-up sector a chain reaction is taking place. New AI applications are being created. Competition is going to become more fierce. Risk appetite from early-stage venture investment is increasing. DeepSeek\u2019s decision to pursue an open-source AI model is inspiring and putting pressure on others to do the same. The first to react was Alibaba\u2019s Qwen team, which released Qwen2.5 as open source last month on the eve of Chinese new year.\u00a0This is a remarkable change. After the US start-up OpenAI released its generative AI model ChatGPT in late 2022, the global digital economy was edging towards control by a handful of tech giants. These players chase scale over efficiency \u2014 building ever-larger models that demand staggering compute, energy and capital while guarding their training methods as trade secrets.\u00a0Centralised, closed models create a dangerous feedback loop. The more data they amass, the more powerful they become, further marginalising anyone outside their gates. For consumers this means large fees, surrendered data and watching AI\u2019s future unfold without meaningful participation. The promise of DeepSeek\u2019s reasoning R1 model lies in its adaptability. Being open sourced it can be tailored to local needs.\u00a0It avoids redundant calculations using something called sparse neural network training, meaning that its efficiency reduces compute and energy needs by orders of magnitude.This means that advanced AI can benefit the masses, not just the few. It proves that the technology is a commodity. Billions of dollars need not be wasted on competition between tech giants with closed models. AI\u2019s value should not lie in proprietary models but in what we are all able to do with it.As an investor, I am concerned that DeepSeek\u2019s prominence might lead the US to opt for even tougher sanctions. In China, export restrictions of graphics processing units (GPUs) such as Nvidia\u2019s powerful H100s have hindered start-up growth. Funding from foreign investors is limited due to compliance risk concerns. But the real danger lies in limiting access to global education and research collaboration, which stifles the global knowledge flow that is critical to sustaining progress. Talent can circumvent chip shortages, but erecting barriers to learning risks long-term stagnation.Yet even additional US restrictions, conspiracy theories and smear campaigns targeting DeepSeek cannot change the reality that the Chinese start-up has put AI into the hands of humanity.\u00a0Against all the noise, let\u2019s consider this as a moment in history. In 1440, Johannes Gutenberg brought Europe the printing press, an invention that broke the monopoly on knowledge previously held by elites. DeepSeek\u2019s achievement joins this tradition of making information more accessible. Its low-cost reasoning model proves that AI can belong to everyone, not just those who are hoarding codes, chips and capital. <\/p>\n","protected":false},"excerpt":{"rendered":"
Summarize this content to 2000 words in 6 paragraphs in Arabic Stay informed with free updatesSimply sign up to the Artificial intelligence myFT Digest — delivered directly to your inbox.The writer is a founding partner of Hong Kong-based VC firm IN. CapitalDeepSeek has forever altered the trajectory of global rivalry in tech. In China, founder<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-189977","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/189977","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=189977"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/189977\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=189977"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=189977"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=189977"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}