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<\/figure>\n\n\n\nThis is exactly what happened with Kimi. Unlike most proprietary US models, Kimi K3 was released as open source, allowing developers to download and run it for free on their own servers. Demand was so high that computing power couldn't keep up with all the new users.<\/p>\n\n\n\n
Due to limited access to AI hardware and investment compared to US companies, China has opted for open models, while its US rivals operate mostly with closed, paid subscriptions. It's a way to compete without having the same access to the most advanced chips.<\/p>\n\n\n\n
Is losing money a strategy? According to various industry analyses, many Chinese AI companies are operating at a considerable loss. And yet they continue to invest, likely with the backing of the Chinese government. The logical question is: why continue if it's not profitable?<\/p>\n\n\n\n
The answer seems to lie in geopolitics. The United States and China are competing for technological leadership in the 21st century, just as they did previously with semiconductors and telecommunications. Offering AI at very low prices, even if it means losses, forces US companies to also reduce their prices, making it harder for them to achieve the profitability their investors seek.<\/p>\n\n\n\n
The result is that the real money in generative AI might not lie in the models themselves, but in those who manufacture the chips and build the data centers that everyone needs, regardless of which model wins.<\/p>\n\n\n\n
This could be a battle with no clear ending. We don't yet have all the answers to know how this struggle will end. But the history of technology teaches us that sometimes putting obstacles in the rival's path\u2014even at the expense of one's own bottom line\u2014is a valid strategy to gain time, market share, and, with it, future influence.<\/p>\n\n\n\n
Meanwhile, the ones who benefit are the users: access to increasingly powerful models at increasingly lower prices. Time will tell if this pace is sustainable.<\/p>\n\n\n\n
<\/p>","protected":false},"excerpt":{"rendered":"
Views: 1 La carrera mundial por la Inteligencia Artificial ya no se libra solo en Silicon Valley. China ha entrado con una estrategia muy particular: modelos \u00ababiertos\u00bb, precios agresivos y un ritmo de lanzamientos que est\u00e1 descolocando a las grandes tecnol\u00f3gicas norteamericanas. Pero, \u00bfqu\u00e9 hay detr\u00e1s de esta jugada? Cuando hablamos de software de c\u00f3digo […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[128,147,153,102,135],"tags":[],"class_list":["post-4896","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-electronics","category-industry","category-society","category-technology"],"yoast_head":"\n