{"id":161690,"date":"2023-04-07T10:23:29","date_gmt":"2023-04-07T15:23:29","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/04\/researchers-studied-a-circadian-clock-in-real-time-in-a-first-for-science"},"modified":"2023-04-07T10:23:29","modified_gmt":"2023-04-07T15:23:29","slug":"researchers-studied-a-circadian-clock-in-real-time-in-a-first-for-science","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/04\/researchers-studied-a-circadian-clock-in-real-time-in-a-first-for-science","title":{"rendered":"Researchers Studied a Circadian Clock in Real Time in a First For Science"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-studied-a-circadian-clock-in-real-time-in-a-first-for-science2.jpg\"><\/a><\/p>\n<p>Large language models are drafting screenplays and writing code and cracking jokes. Image generators, such as Midjourney and DALL-E 2, are <a href=\"https:\/\/www.nytimes.com\/2022\/09\/02\/technology\/ai-artificial-intelligence-artists.html\">winning art prizes<\/a> and <a href=\"https:\/\/twitter.com\/heyBarsee\/status\/1639561076843986944\">democratizing interior design<\/a> and producing <a href=\"https:\/\/www.theatlantic.com\/technology\/archive\/2023\/03\/fake-ai-generated-puffer-coat-pope-photo\/673543\/?utm_source=msn\">dangerously convincing fabrications<\/a>. They feel <a href=\"https:\/\/nymag.com\/intelligencer\/2023\/01\/why-artificial-intelligence-often-feels-like-magic.html\">like magic<\/a>. Meanwhile, the world\u2019s most advanced robots are still struggling to open different kinds of doors. As in actual, physical doors. Chatbots, in the proper context, can be\u2014and have been\u2014mistaken for actual human beings; the most advanced robots still look more like mechanical arms appended to rolling tables. For now, at least, our dystopian near future looks a lot more like <a href=\"https:\/\/www.youtube.com\/watch?v=ne6p6MfLBxc\"><em>Her<\/em><\/a> than <a href=\"https:\/\/www.youtube.com\/watch?v=BRb4U99OU80\"><em>M3GAN<\/em><\/a>.<\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/ne6p6MfLBxc?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>The counterintuitive notion that it\u2019s harder to build artificial bodies than artificial minds is not a new one. In 1988, the computer scientist Hans Moravec <a href=\"https:\/\/www.google.com\/books\/edition\/Mind_Children\/56mb7XuSx3QC?hl=en&gbpv=1&bsq=playing%20checkers\">observed<\/a> that computers already excelled at tasks that humans tended to think of as complicated or difficult (math, chess, IQ tests) but were unable to match \u201cthe skills of a one-year-old when it comes to perception and mobility.\u201d Six years later, the cognitive psychologist Steven Pinker offered a pithier formulation: \u201cThe main lesson of thirty-five years of AI research,\u201d he wrote, \u201cis that the hard problems are easy and the easy problems are hard.\u201d This lesson is now known as \u201cMoravec\u2019s paradox.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Large language models are drafting screenplays and writing code and cracking jokes. Image generators, such as Midjourney and DALL-E 2, are winning art prizes and democratizing interior design and producing dangerously convincing fabrications. They feel like magic. Meanwhile, the world\u2019s most advanced robots are still struggling to open different kinds of doors. As in actual, [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,6,224],"tags":[],"class_list":["post-161690","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-robotics-ai","category-science"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161690","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\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=161690"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161690\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=161690"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=161690"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=161690"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}