{"id":910,"date":"2023-05-25T10:35:53","date_gmt":"2023-05-25T10:35:53","guid":{"rendered":"https:\/\/dailyai.com\/?p=910"},"modified":"2023-06-01T09:26:59","modified_gmt":"2023-06-01T09:26:59","slug":"china-scrambles-forward-in-the-race-for-ai-supremacy","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nb\/2023\/05\/china-scrambles-forward-in-the-race-for-ai-supremacy\/","title":{"rendered":"Kina kjemper videre i kappl\u00f8pet om AI-herred\u00f8mme"},"content":{"rendered":"

China hasn\u2019t met international expectations for AI growth, but signals in 2023 suggest that might change.\u00a0<\/b><\/p>\n

China was late to the AI party, with COVID lockdowns taking their toll on Baidu, Alibaba, and Tencent \u2013 collectively known as BAT.\u00a0<\/span><\/p>\n

The Chinese government has also struggled to grapple with the existential threat AI poses to their \u201cnational unity,\u201d requiring companies to register generative AIs with the country\u2019s cyberspace agency prior to release. AIs in China won\u2019t be afforded the same creative freedom as those in the West.\u00a0<\/span><\/p>\n

A grueling lack of semiconductors and high-end tech hasn\u2019t helped either, as China is uncharacteristically reliant on Western imports when it comes to AI manufacturing and production.\u00a0<\/span><\/p>\n

However, <\/span>analysts speculate<\/span><\/a> that China\u2019s early attempts to regulate AI may pave the way for quicker growth \u2013 and AI systems can take years to build and refine \u2013 so there\u2019s plenty of time for them to catch up.\u00a0<\/span><\/p>\n

The politics of semiconductors\u00a0<\/span><\/h2>\n

Building powerful AI requires significant technology and resources.\u00a0<\/span><\/p>\n

While cutting-edge AIs like ChatGPT seem to live innocuously inside a web browser, the supercomputers that train sophisticated machine learning (ML) models rely on hundreds of thousands of CPUs and GPUs.\u00a0<\/span><\/p>\n

Each component requires chips and semiconductors, which are notoriously challenging to manufacture in large quantities.\u00a0<\/span><\/p>\n

In October 2022, <\/span>Washington severely crippled<\/span><\/a> China\u2019s semiconductor and chip supply chain.\u00a0<\/span><\/p>\n

China heavily relies on chips from manufacturers like Nvidia, making them vulnerable to sanctions.\u00a0<\/span><\/p>\n

But why doesn\u2019t China produce its own chips? They do, but not enough, and they\u2019re not as sophisticated as those manufactured by Silicon Valley veteran Nvidia.\u00a0<\/span><\/p>\n

Chips are not something you can spin up overnight \u2013 they take years to develop and months to manufacture.\u00a0<\/span><\/p>\n

\"China
High-quality chips take months to manufacture<\/figcaption><\/figure>\n

They\u2019re also extremely fragile \u2013 a single spec of dust can destroy a chip. Chip manufacturers have spent decades refining their production lines \u2013 you can\u2019t catch up overnight.\u00a0<\/span><\/p>\n

China\u2019s Silicon Valley<\/span><\/h2>\n

China has been aware of this bottleneck since 2014, when the government formed a state-backed incentive for chip manufacturers <\/span>called the \u201cBig Fund<\/span><\/a>.\u201d\u00a0<\/span><\/p>\n

The Big Fund was subject to a <\/span>corruption probe in 2022<\/span><\/a> and appointed a new boss in March this year. One of China\u2019s leading chip manufacturers received <\/span>$7bn from state-backed investors<\/span><\/a>.<\/span><\/p>\n

The Big Fund (now nicknamed the Big Fund II) forms part of China\u2019s \u201c<\/span>Made in China 2025 plan<\/span><\/a>\u201d, which seeks to transform the country into a high-end tech manufacturer.\u00a0<\/span><\/p>\n

China\u2019s data edge<\/span><\/h2>\n

China has another edge in the AI race \u2013 near-unrestricted access to training data.<\/span><\/p>\n

Generative AIs require vast quantities of data, which isn\u2019t easy to obtain in the West.\u00a0<\/span><\/p>\n

For example, privacy laws restrict access to facial data and CCTV,\u00a0 but China doesn\u2019t have that issue.\u00a0<\/span><\/p>\n

Edith Yeung, a Race Capital investment firm partner, <\/span>told the BBC<\/span><\/a>, \u201cChina has a lot less rules around privacy, and a lot more data [compared to the US]. There’s CCTV facial recognition everywhere, for example.\u201d\u00a0<\/span><\/p>\n

So long as Chinese tech firms can navigate stringent regulations, China\u2019s AI industry has every chance of catching up or overtaking the US.\u00a0<\/span><\/p>\n

If the government can relinquish its technological future from Western sanctions, China may prove unstoppable in the long-term race to AI supremacy. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Kina har ikke innfridd de internasjonale forventningene til AI-vekst, men signaler i 2023 tyder p\u00e5 at det kan endre seg. Kina kom sent til AI-festen, og COVID-nedstengninger har g\u00e5tt hardt utover Baidu, Alibaba og Tencent - samlet kjent som BAT. Den kinesiske regjeringen har ogs\u00e5 slitt med \u00e5 h\u00e5ndtere den eksistensielle trusselen AI utgj\u00f8r mot deres \"nasjonale enhet\", og krever at selskaper registrerer generative AI-er hos landets cyberspace-byr\u00e5 f\u00f8r de lanseres. Kunstig intelligens i Kina f\u00e5r ikke den samme kreative friheten som i Vesten. En skrikende mangel p\u00e5 halvledere og avansert teknologi har heller ikke hjulpet, ettersom Kina er<\/p>","protected":false},"author":2,"featured_media":913,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[99,98,100],"class_list":["post-910","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-race","tag-china","tag-semiconductors"],"yoast_head":"\nChina scrambles forward in the race for AI supremacy | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nb\/2023\/05\/china-scrambles-forward-in-the-race-for-ai-supremacy\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"China scrambles forward in the race for AI supremacy | DailyAI\" \/>\n<meta property=\"og:description\" content=\"China hasn\u2019t met international expectations for AI growth, but signals in 2023 suggest that might change.\u00a0 China was late to the AI party, with COVID lockdowns taking their toll on Baidu, Alibaba, and Tencent \u2013 collectively known as BAT.\u00a0 The Chinese government has also struggled to grapple with the existential threat AI poses to their \u201cnational unity,\u201d requiring companies to register generative AIs with the country\u2019s cyberspace agency prior to release. 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