{"id":14685,"date":"2025-04-08T01:35:50","date_gmt":"2025-04-08T01:35:50","guid":{"rendered":"https:\/\/topat10.com\/?p=14685"},"modified":"2025-04-08T01:35:50","modified_gmt":"2025-04-08T01:35:50","slug":"the-ai-race-has-gotten-crowded-and-china-is-closing-in-on-the-us","status":"publish","type":"post","link":"https:\/\/topat10.com\/?p=14685","title":{"rendered":"The AI Race Has Gotten Crowded\u2014and China Is Closing In on the US"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p class=\"paywall\">Stanford\u2019s report shows Chinese AI is on the rise overall, with models from Chinese companies scoring similar to their US counterparts on the LMSYS benchmark. It notes that China publishes more AI papers and files more AI-related patents than the US, although it does not assess the quality of either. The US, in contrast, produces more notable AI models: 40 compared to the 15 frontier models produced in China and the three produced in Europe. The report also notes that powerful models have recently emerged in the Middle East, Latin America, and Southeast Asia as the technology becomes more global.<\/p>\n<figure class=\"AssetEmbedWrapper-eVDQiB byBkf asset-embed\">\n<div class=\"AssetEmbedAssetContainer-eJxoAx dBHGoQ asset-embed__asset-container\"><span class=\"SpanWrapper-umhxW kGxnNB responsive-asset AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset\"><picture class=\"ResponsiveImagePicture-cWuUZO dUOtEa AssetEmbedResponsiveAsset-cXBNxi eCxVQK asset-embed__responsive-asset responsive-image\"><noscript><img decoding=\"async\" alt=\"Image may contain Chart and Line Chart\" class=\"ResponsiveImageContainer-eybHBd fptoWY responsive-image__image lazyload\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" data-src=\"https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_1600%2Cc_limit\/image002%2520(2).png\" data-sizes=\"auto\" data-srcset=\"https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_120,c_limit\/image002%20(2).png 120w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_240,c_limit\/image002%20(2).png 240w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_320,c_limit\/image002%20(2).png 320w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_640,c_limit\/image002%20(2).png 640w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_960,c_limit\/image002%20(2).png 960w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_1280,c_limit\/image002%20(2).png 1280w, https:\/\/media.wired.com\/photos\/67f06c5e8cf289627704c3ec\/master\/w_1600,c_limit\/image002%20(2).png 1600w\" sizes=\"100vw\"\/><\/noscript><\/picture><\/span><\/div>\n<p><span class=\"BaseWrap-sc-gjQpdd BaseText-ewhhUZ CaptionCredit-ejegDm iUEiRd isTgyB fNaHcW caption__credit\">Courtesy of Stanford HAI<\/span><\/p>\n<\/figure>\n<p class=\"paywall\">The research shows that several of the best AI models are now \u201copen weight,\u201d meaning they can be downloaded and modified for free. Meta has been at the center of the trend with its Llama model, first released in <a href=\"https:\/\/www.wired.com\/story\/metas-open-source-llama-upsets-the-ai-horse-race\/\">February 2023<\/a>. The company released its latest version, Llama 4, <a href=\"https:\/\/www.reuters.com\/technology\/meta-releases-new-ai-model-llama-4-2025-04-05\/\">over the weekend<\/a>. Both DeepSeek and Mistral, a French company, now offer advanced open weight models, too. In March, OpenAI announced that <a href=\"https:\/\/www.wired.com\/story\/openai-sam-altman-announce-open-source-model\/\">it also plans to release an open source model<\/a>\u2014its first since GPT-2\u2014this summer. In 2024, the gap between open and closed models narrowed from eight percent to 1.7 percent, the study shows. That said, the majority of advanced models\u201460.7 percent\u2014are still closed.<\/p>\n<p class=\"paywall\">Stanford\u2019s report notes the AI industry has seen a steady improvement in efficiency, with hardware becoming 40 percent more efficient in the past year. This has brought the cost of querying AI models down and also made it possible to run relatively capable models on personal devices.<\/p>\n<p class=\"paywall\">Rising efficiency has prompted speculation that the largest AI models could require <a href=\"https:\/\/www.wired.com\/story\/deepseek-executives-reaction-silicon-valley\/\">fewer GPUs for training<\/a>, although most AI builders say they need more computing power, not less. The study shows that the latest AI models are built using tens of trillions of tokens\u2014components representing parts of data such as words in a sentence\u2014and tens of billions of petaflops of computation. However, it cites research suggesting that the supply of internet training data will be exhausted by between 2026 and 2032, hastening the adoption of so-called <a href=\"https:\/\/www.wired.com\/story\/nvidia-gretel-acquisition-synthetic-training-data\/\">synthetic, or AI-generated, data.<\/a><\/p>\n<p class=\"paywall\">The report offers a sweeping picture of AI\u2019s broader impact. It shows that demand for workers with machine learning skills has spiked, and cites surveys showing that a growing proportion of workers expect the technology to change their jobs. Private investment reached a record $150.8 billion in 2024, the report shows. Governments around the world also committed billions to AI that same year. Since 2022, AI-related legislation has doubled in the US.<\/p>\n<p class=\"paywall\">Parli notes that although companies have become more secretive about how they develop frontier AI models, academic research is flourishing\u2014and improving in quality.<\/p>\n<p class=\"paywall\">The report also points to problems arising from widespread AI adoption. It notes that incidents involving AI models misbehaving or being misused have increased in the past year, as has research aimed at making these models safer and more reliable.<\/p>\n<p class=\"paywall\">As for reaching the much ballyhooed goal of AGI, the report highlights how some AI models already surpass human abilities on benchmarks that test specific skills, including image classification, language comprehension, and mathematical reasoning. This is partly because models are designed and optimized to excel at these barometers, but it shines a spotlight on how swiftly the technology has advanced in recent years.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>Stanford\u2019s report shows Chinese AI is on the rise overall, with models from Chinese companies scoring similar to their US counterparts on the LMSYS benchmark. It notes that China publishes more AI papers and files more AI-related patents than the US, although it does not assess the quality of either. The US, in contrast, produces [&hellip;]<\/p>\n","protected":false},"author":293,"featured_media":14686,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[703],"tags":[3796,928,1137,1413,3485,339,1730,1003,1136],"class_list":["post-14685","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-anthropic","tag-artificial-intelligence","tag-chatgpt","tag-china","tag-deepseek","tag-google","tag-google-gemini","tag-meta","tag-openai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - 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Knight","author_link":"https:\/\/topat10.com\/?author=293"},"uagb_comment_info":0,"uagb_excerpt":"Stanford\u2019s report shows Chinese AI is on the rise overall, with models from Chinese companies scoring similar to their US counterparts on the LMSYS benchmark. It notes that China publishes more AI papers and files more AI-related patents than the US, although it does not assess the quality of either. The US, in contrast, produces&hellip;","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/posts\/14685","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/users\/293"}],"replies":[{"embeddable":true,"href":"https:\/\/topat10.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=14685"}],"version-history":[{"count":0,"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/posts\/14685\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/topat10.com\/index.php?rest_route=\/wp\/v2\/media\/14686"}],"wp:attachment":[{"href":"https:\/\/topat10.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=14685"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/topat10.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=14685"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/topat10.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=14685"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}