{"id":292694,"date":"2024-12-05T19:32:09","date_gmt":"2024-12-05T18:32:09","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=345219"},"modified":"2025-07-01T15:39:47","modified_gmt":"2025-07-01T22:39:47","slug":"this-is-genie-2-the-new-model-from-google-deepmind-capable-of-generating-interactive-3d-worlds","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/this-is-genie-2-the-new-model-from-google-deepmind-capable-of-generating-interactive-3d-worlds\/","title":{"rendered":"This is Genie 2, the new model from Google DeepMind capable of generating interactive 3D worlds"},"content":{"rendered":"\n

DeepMind<\/strong>, the artificial intelligence research division of Google<\/strong>, has unveiled Genie 2<\/strong>, an innovative model capable of creating an apparently infinite variety of playable three-dimensional worlds. This model, which follows Genie<\/strong>, launched earlier this year, stands out for generating interactive scenes in real-time from a single image or text description<\/strong>, such as \u201ca humanoid robot in Ancient Egypt.\u201d Although it is reminiscent of developments by companies like World Labs<\/strong> and Decart<\/strong>, Genie 2 has features that make it unique.<\/p>\n\n\n

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The DeepMind proposal<\/a> promises an immense diversity of 3D worlds<\/strong> rich in details, where users can perform actions like jumping or swimming with keyboard and mouse<\/strong>. Thanks to its training with videos, Genie 2 can simulate object interactions, animations, lighting, physics, and even the behavior of non-playable characters (NPCs). Many of these worlds resemble triple-A video games, which raises serious questions about whether its training included sessions from popular titles<\/strong>. For now, DeepMind has avoided revealing details about how it collected the data.<\/p>\n\n\n\n

The model has also reignited the debate over intellectual property. As a subsidiary of Google, DeepMind can access YouTube videos<\/strong>, and the company itself has stated that its terms of service allow the use of these materials to train AI models.<\/p>\n\n\n\n

Despite its limitations, such as simulations lasting between 10 and 60 seconds<\/strong>, Genie 2 is more consistent than other similar models. For example, it avoids common issues of visual artifacts and scene forgetting<\/strong>, something that affects competitors like Oasis<\/strong>, from Decart<\/a>. Additionally, it can remember and render objects that had gone out of the field of view.<\/p>\n\n\n\n

DeepMind does not see this model as a tool for traditional games, but as a creative and research resource<\/strong>. According to the company, \u201cGenie 2 turns conceptual art into complete interactive environments\u201d and facilitates the evaluation of AI agents in completely new tasks, opening new possibilities for prototypes and experimentation.<\/p>\n\n\n

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DeepMind, the artificial intelligence research division of Google, has unveiled Genie 2, an innovative model capable of creating an apparently infinite variety of playable three-dimensional worlds. This model, which follows Genie, released earlier this year, stands out for generating interactive scenes in real-time from a single image or text description, such as “a humanoid robot in Ancient Egypt.” Although it is reminiscent of developments by companies like World Labs and Decart, Genie 2 has features that make it unique. DeepMind’s proposal promises an immense diversity of rich 3D worlds in […]<\/p>\n","protected":false},"author":9256,"featured_media":292700,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[1015],"tags":[],"usertag":[],"vertical":[],"content-category":[6771],"class_list":["post-292694","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","content-category-ai"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/292694","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9256"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=292694"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/292694\/revisions"}],"predecessor-version":[{"id":310556,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/292694\/revisions\/310556"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/292700"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=292694"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=292694"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=292694"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=292694"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=292694"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=292694"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}