{"id":626516,"date":"2023-04-07T09:49:29","date_gmt":"2023-04-07T14:49:29","guid":{"rendered":"https:\/\/news.sellorbuyhomefast.com\/index.php\/2023\/04\/07\/why-ai-art-struggles-with-hands\/"},"modified":"2023-04-07T09:49:29","modified_gmt":"2023-04-07T14:49:29","slug":"why-ai-art-struggles-with-hands","status":"publish","type":"post","link":"https:\/\/newsycanuse.com\/index.php\/2023\/04\/07\/why-ai-art-struggles-with-hands\/","title":{"rendered":"Why AI art struggles with hands"},"content":{"rendered":"<div>\n<p id=\"twJ0OO\">Hands drawn by robots often just don\u2019t look right. Why is that, and what will it take to get better?<\/p>\n<p id=\"ukxeuS\">Vox producer Phil Edwards is exploring five different aspects of AI that help explain everything from large language models to where unusual training data comes from. <\/p>\n<p id=\"KjqKV3\">In this first video, he digs into why AI art struggles with hands. The challenges range from the same ones that human artists face to those that are a unique result of how AI generative art is created. The road to improving these hands may not be as obvious as you\u2019d think.<\/p>\n<div id=\"xtJll8\">\n<p>The text-to-image revolution, explained<\/p>\n<\/div>\n<p id=\"EVVvKy\">You can find this video and the entire library of <a href=\"https:\/\/www.youtube.com\/channel\/UCLXo7UDZvByw2ixzpQCufnA\"><strong>Vox\u2019s videos on YouTube<\/strong><\/a>.<\/p>\n<p id=\"YGyxmk\"><a href=\"http:\/\/goo.gl\/0bsAjO\">Subscribe to our channel and turn on notifications<\/a> to make sure you don\u2019t miss the next four episodes of this series on machine learning. <\/p>\n<div data-cid=\"site\/article_footer-1680878217_168_23188\" data-cdata=\"{\"base_type\":\"Entry\",\"id\":23433666,\"timestamp\":1680638674,\"published_timestamp\":1680638674,\"show_published_and_updated_timestamps\":false,\"title\":\"Why AI art struggles with hands\",\"type\":\"Article\",\"url\":\"https:\/\/www.vox.com\/videos\/2023\/4\/4\/23669625\/ai-data-learning-hands-difficulty-patterns\",\"entry_layout\":{\"key\":\"unison_standard\",\"layout\":\"unison_main\",\"template\":\"standard\"},\"additional_byline\":null,\"authors\":[{\"id\":2358806,\"name\":\"Phil Edwards\",\"url\":\"https:\/\/www.vox.com\/authors\/phil-edwards\",\"twitter_handle\":\"PhilEdwardsInc\",\"profile_image_url\":\"https:\/\/cdn.vox-cdn.com\/thumbor\/WZlh1zmpHFdWw2gPHuMMABAKmRM=\/512x512\/cdn.vox-cdn.com\/author_profile_images\/14419\/_MG_4518.0.jpg\",\"title\":\"\",\"email\":\"<span \n                data-original-string='q8aLt5Pd+t9OdfVvxFKqwA==7f4kEUtG21U70ziOG6Or1lcizM8Wpe7zeB+H2QOC7Eje5M='\n                class='apbct-email-encoder'\n                title='This contact has been encoded by Anti-Spam by CleanTalk. Click to decode. 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You can also contribute via<br \/>\n              <\/span>\n            <\/p>\n<p><a href=\"https:\/\/www.paypal.com\/donate\/?hosted_button_id=VSP4PYJX98SHL\" target=\"_blank\" rel=\"noopener\"><br \/>\n              <img decoding=\"async\" src=\"https:\/\/cdn.vox-cdn.com\/uploads\/chorus_asset\/file\/22734206\/paypal_logo.png\"><br \/>\n            <\/a>\n          <\/p>\n<\/div><\/div>\n<\/p><\/div>\n<\/div>\n<p><a href=\"https:\/\/www.vox.com\/videos\/2023\/4\/4\/23669625\/ai-data-learning-hands-difficulty-patterns\" class=\"button purchase\" rel=\"nofollow noopener\" target=\"_blank\">Read More<\/a><br \/>\n Marquis Roberie<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hands drawn by robots often just don\u2019t look right. Why is that, and what will it take to get better? Vox producer Phil Edwards is exploring five different aspects of AI that help explain everything from large language models to where unusual training data comes from. 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