{"id":160349,"date":"2023-03-15T18:24:44","date_gmt":"2023-03-15T23:24:44","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/03\/neuroscientist-explores-how-chatgpt-mirrors-its-users-to-appear-intelligent"},"modified":"2023-03-15T18:24:44","modified_gmt":"2023-03-15T23:24:44","slug":"neuroscientist-explores-how-chatgpt-mirrors-its-users-to-appear-intelligent","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/03\/neuroscientist-explores-how-chatgpt-mirrors-its-users-to-appear-intelligent","title":{"rendered":"Neuroscientist explores how ChatGPT mirrors its users to appear intelligent"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/neuroscientist-explores-how-chatgpt-mirrors-its-users-to-appear-intelligent2.jpg\"><\/a><\/p>\n<p>The artificial intelligence (AI) language model ChatGPT has captured the world\u2019s attention in recent months. This trained computer chatbot can generate text, answer questions, provide translations, and learn based on the user\u2019s feedback. Large language models like ChatGPT may have many applications in science and business, but how much do these tools understand what we say to them, and how do they decide what to say back?<\/p>\n<p>In new paper published in <i>Neural Computation<\/i> on February 17, 2023, Salk Professor Terrence Sejnowski, author of \u201cThe Deep Learning Revolution,\u201d explores the relationship between the human <a href=\"https:\/\/techxplore.com\/tags\/interviewer\/\" rel=\"tag\" class=\"\">interviewer<\/a> and <a href=\"https:\/\/techxplore.com\/tags\/language\/\" rel=\"tag\" class=\"\">language<\/a> models to uncover why chatbots respond in particular ways, why those responses vary, and how to improve them in the future.<\/p>\n<p>According to Sejnowski, language models reflect the intelligence and diversity of their interviewer.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The artificial intelligence (AI) language model ChatGPT has captured the world\u2019s attention in recent months. This trained computer chatbot can generate text, answer questions, provide translations, and learn based on the user\u2019s feedback. Large language models like ChatGPT may have many applications in science and business, but how much do these tools understand what we [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,6],"tags":[],"class_list":["post-160349","post","type-post","status-publish","format-standard","hentry","category-business","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160349","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=160349"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160349\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=160349"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=160349"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=160349"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}