{"id":26756,"date":"2024-08-27T19:48:02","date_gmt":"2024-08-28T00:48:02","guid":{"rendered":"http:\/\/blog.kenperlin.com\/?p=26756"},"modified":"2024-08-27T19:48:02","modified_gmt":"2024-08-28T00:48:02","slug":"programming-turing-test","status":"publish","type":"post","link":"http:\/\/blog.kenperlin.com\/?p=26756","title":{"rendered":"Programming Turing test"},"content":{"rendered":"<p>If you ask ChatGPT these days to write a computer program, it often does a remarkably good job. Not only will it implement an algorithm for you nearly instantly, but it will also give you a good explanation for how that algorithm works, and why it took the approach that it did.<\/p>\n<p>But given that all programs written by generative AI are pastiches &#8212; bits and pieces from a vast training set of existing human implementations cobbled together &#8212; I wonder whether there are specific limits to what genAI can do.<\/p>\n<p>In particular, are there prompts you can give it that will always fail? Are there particular kinds of computer programs that a generative AI simply cannot write, either because they are outside that training set or else because they also call for a form of reasoning that is uniquely human?<\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you ask ChatGPT these days to write a computer program, it often does a remarkably good job. Not only will it implement an algorithm for you nearly instantly, but it will also give you a good explanation for how that algorithm works, and why it took the approach that it did. But given that &hellip; <a href=\"http:\/\/blog.kenperlin.com\/?p=26756\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Programming Turing test&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/posts\/26756"}],"collection":[{"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=26756"}],"version-history":[{"count":1,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/posts\/26756\/revisions"}],"predecessor-version":[{"id":26757,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=\/wp\/v2\/posts\/26756\/revisions\/26757"}],"wp:attachment":[{"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=26756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=26756"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/blog.kenperlin.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=26756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}