<\/p>\n
Former Google CEO Eric Schmidt<\/a> feels that despite huge valuations and funding the United States is lagging behind China in the artificial intelligence (AI) tech race. Speaking at the All-In Summit on September 25, Schmidt shared his views on how China has out raced the US in AI, where American companies need to shift their focus, and what possible measures the west can take to catch up.<\/p>\n<\/div>\n Schmidt noted that while US tech companies working in the AI field are largely pursuing artificial general intelligence or AGI<\/a>, the Chinese are more focused on AI applications. He also noted that the overwhelming use of Open Source and Open Code projects from the Chinese means that their alternatives are more easily accessible and likely to be more widely adopted.<\/p>\n<\/div>\n Schmidt also acknowledged that while Chinese companies in the AI space may not have $100 billion valuations, they have not been as hard hit by US imposing bans on chips and semiconductors<\/a>, and have their own technologies matching American capabilities.<\/p>\n<\/div>\n Responding to a question on how the US can compete with China on AI, Schmidt noted, \u201cI had thought that China<\/a> and the US were competing at the peer level in AI; and that the good work done to restrict chips, were slowing them down. (But), they’re really doing something more different than I thought.\u201d<\/p>\n<\/div>\n He noted that China is \u201cnot pursuing crazy AGI strategies\u201d, as they don not have \u201cthe depth of capital markets<\/a>\u201d and cannot \u201craise $100 million dollars on a wing and a prayer\u201d.<\/p>\n<\/div>\n \u201cThe result is, they’re very focused on taking AI and applying it to everything. And the concern I have, is that while we’re pursuing AGI, we better also be competing with the Chinese in day-to-day stuff,\u201d he said.<\/p>\n<\/div>\n Schmidt added that the Chinese AI companies are focused on \u201cday-to-day\u201d stuff and combined with their \u201cincredible\u201d work ethics, this strategy can win.<\/p>\n<\/div>\n \u201cThey’re very focused on taking AI and applying it to everything, (such as) consumer apps, robots<\/a> and so on. I saw all the Shanghai robotics companies and these guys are attempting to do in robots what they’ve successfully done with electric vehicles,\u201d he said.<\/p>\n<\/div>\n Adding, \u201cTheir work ethics are incredible. They’re well funded. It’s not the crazy valuations that we have in America, but they can win across that.\u201d<\/p>\n<\/div>\n The tech leader noted that the Chinese also have in lead in wide scale adoption due to the use of open source<\/a> and open weights models, calling it a \u201cmajor geopolitical issue\u201d.<\/p>\n<\/div>\n \u201cOpen Source<\/a> means open code. Open weights means to open training data. (And) China is competing with open weights and open training data and the US is largely and majority focused on closed weights and closed data. That means that the majority of the world, think of it, as the Belt and Road initiative are going to use Chinese models and not American models,\u201d he warned.<\/p>\n<\/div>\n Schmidt also acknowledged that Chinese companies have \u201cmajor achievements\u201d when it comes to the technical aspects. He noted that despite moves towards more open source, DeepSeek<\/a> shook the AI industry.<\/p>\n<\/div>\n \u201cThe DeepSeek people did such a good job, right? If you look at the reasoning model in DeepSeek and in particular their ability to do reinforcement, learning forward and back, this is a major achievement and it appears that they’re doing it with less numeric precision than the American models,\u201d Schmidt pointed out.<\/p>\n<\/div>\n He noted that, while the American<\/a> models are typically using 16-bit Precision for their training, the Chinese are pushing eight and four bit precision.<\/p>\n<\/div>\n When asked if there were steps that American companies need to undertake in order to compete with China, Schmidt noted that the initiative has already begun, stating, \u201cA number of the large companies have said that they want to be leaders in open source. Sam Altman<\/a> indicated that the smallest version of the O3 model would be released \u2014 I believe, (it will be) open weights. He told me that this model is much smaller, much easier to train, and will or can fit on your phone.\u201d<\/p>\n<\/div>\n \u201cSo one path is to say that we’ll have these super computers doing AGI, which will always be incredibly expensive and so forth. But we also have to watch to make sure that the proliferation of these models for handheld devices is under American control. Whether it’s OpenAI or Meta, or (Google’s) Gemini<\/a> or what have you,\u201d he ended.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":" Former Google CEO Eric Schmidt feels that despite huge valuations and funding the United States is lagging behind China in the artificial intelligence (AI) tech race. Speaking at the All-In Summit on September 25, Schmidt shared his views on how China has out raced the US in AI, where American companies need to shift their […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[440,28211,9493,41130,263,262,297,13393,3719,5266,260,27678,259,258,5067,265,499,202,8048,5792,261,150,182,899,41129,264],"class_list":["post-406541","post","type-post","status-publish","format-standard","hentry","category-metaverse","tag-ai","tag-ai-competition","tag-artificial-general-intelligence","tag-atrificial-intelligence","tag-axie-infinity","tag-axs","tag-china","tag-china-ai","tag-chips","tag-companies","tag-decentraland","tag-deepseek","tag-facebook","tag-game","tag-gemini","tag-mark-zuckerberg","tag-meta","tag-nft","tag-open-source","tag-openai","tag-sandbox","tag-tech","tag-technology","tag-us","tag-us-tech-companies","tag-vr"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/406541","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=406541"}],"version-history":[{"count":0,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/406541\/revisions"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=406541"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=406541"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=406541"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Eric Schmidt: US not clear leader against China in AI race \u2014 5 Points<\/h2>\n
On US and China in the AI race<\/h2>\n
Chinese making strides in practical applications<\/h3>\n
Open Source makes Chinese AI more accessible to larger audiences<\/h3>\n
On US tech companies beginning work in open source<\/h3>\n
What steps can American companies take?<\/h3>\n