{"id":13547,"date":"2023-09-13T11:21:40","date_gmt":"2023-09-13T11:21:40","guid":{"rendered":"https:\/\/mysourcefunding.com\/startups\/the-ai-hype-train-has-stalled-in-china\/"},"modified":"2023-09-13T11:21:41","modified_gmt":"2023-09-13T11:21:41","slug":"the-ai-hype-train-has-stalled-in-china","status":"publish","type":"post","link":"https:\/\/mysourcefunding.com\/?p=13547","title":{"rendered":"The AI Hype Train Has Stalled in China"},"content":{"rendered":"<div>\n<p class=\"paywall\">That, along with the cost of computing power, makes it difficult for startups like Xie\u2019s to build the kind of huge, sweeping models that their equivalents in the US are trying to create, so most are focusing on the application level, instead of making their own models.<\/p>\n<p class=\"paywall\">Founded last year, vrch.io is developing an AI-powered voice-entry image generator. In the past, interior designers might have needed to use renderings made in Photoshop to show clients. Now, when people want to redesign a space, they can do so on the spot using generative AI. \u201cFor those of us in design,\u201d Xie says, \u201cwe used to spend most of our time converting information that was difficult to accurately express in words, into images, and then using those images to communicate with clients.\u201d<\/p>\n<p class=\"paywall\">Though vrch.io has an investment from Miracle Plus (formerly Y Combinator China), a startup incubator in China, it\u2019s not currently targeting the Chinese market. That\u2019s because of the lack of regulatory clarity.<\/p>\n<p class=\"paywall\">\u201cAs a small company,\u201d Xie says, \u201cwe can\u2019t guarantee that every segment of the business, whether it\u2019s the algorithms, the data sources, or the training of the models themselves, is in line with regulations.\u201d<\/p>\n<p class=\"paywall\">In July this year, China\u2019s Cyberspace Administration released interim guidelines on generative AI that focused on privacy, personal information protection, transparency of algorithms, and intellectual property rights. They didn\u2019t set compliance standards for the technology that were substantively different from existing regulations on technology, but startups like Xie\u2019s are waiting for more details.<\/p>\n<p class=\"paywall\">\u201cThe regulators clearly don&#8217;t want to overregulate at the outset to discourage innovation and further widen the gap in AI development between China and the US,\u201d Xu says. The rules demonstrate, Xu thinks, that regulators \u201care willing to incorporate the needs and input of tech companies, allowing for relatively unencumbered development in private settings and business-specific areas, as long as certain red lines are not crossed in the public sphere.\u201d<\/p>\n<p class=\"paywall\">Vrch.io is more concerned with getting its product out in overseas markets first. It will wait until large models\u2014most likely, those developed by Chinese Big Tech companies\u2014become available before it rolls out in its home market.<\/p>\n<p class=\"paywall\">The economic environment is also throwing a shadow over the tech sector. Slower growth, falling consumer spending, problems in the real estate market and concerns over local government debt have contributed to an overwhelming sense of uncertainty. The Chinese government has stopped reporting statistics on youth unemployment in urban areas, one indicator of a general economic slowdown.<\/p>\n<p class=\"paywall\">\u201cStarting a company in this economic environment, I have to pick very specific, low-hanging fruit problems,\u201d says Pei Hao, founder of AI startup Lingua Technologies.<\/p>\n<p class=\"paywall\">His company is aiming to compete with translation companies in Beijing, and professional editors in the UK and US who charge fees to Chinese scholars to help make their work legible to international audiences.<\/p>\n<p class=\"paywall\">Hao says that partnerships between Chinese academics and non-Chinese counterparts are often hobbled by the extra workload given to native English speakers. \u201cThere\u2019s so much cognitive load associated with fixing these papers, some of which are five to ten thousand words,\u201d Hao says.<\/p>\n<\/div>\n<p>Read the full article <a href=\"https:\/\/www.wired.com\/story\/ai-hype-train-stalled-in-china\/\" target=\"_blank\" rel=\"noopener\">here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>That, along with the cost of computing power, makes it difficult for startups like Xie\u2019s to build the kind of huge, sweeping models that their equivalents in the US are trying to create, so most are focusing on the application level, instead of making their own models. Founded last year, vrch.io is developing an AI-powered [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":13548,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[77],"tags":[],"class_list":{"0":"post-13547","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-startups"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The AI Hype Train Has Stalled in China | Brandiary<\/title>\n<meta name=\"description\" content=\"That, along with the cost of computing power, makes it difficult for startups like Xie\u2019s to build the kind of huge, sweeping models that their equivalents\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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