{"id":11657,"date":"2023-09-24T09:37:45","date_gmt":"2023-09-24T07:37:45","guid":{"rendered":"http:\/\/costops.com\/index.php\/2023\/09\/24\/when-it-comes-to-creative-thinking-its-clear-that-ai-systems-mean-business-john-naughton\/"},"modified":"2023-09-24T09:37:45","modified_gmt":"2023-09-24T07:37:45","slug":"when-it-comes-to-creative-thinking-its-clear-that-ai-systems-mean-business-john-naughton","status":"publish","type":"post","link":"http:\/\/costops.com\/index.php\/2023\/09\/24\/when-it-comes-to-creative-thinking-its-clear-that-ai-systems-mean-business-john-naughton\/","title":{"rendered":"When it comes to creative thinking, it\u2019s clear that AI systems mean business | John Naughton"},"content":{"rendered":"

The chatbot GPT-4 has produced more viable commercial ideas more efficiently and more cheaply than US university students<\/p>\n

In all the frenzied discourse about large language models (LLMs) such as GPT-4<\/a> there is one point on which everyone seems to agree: these models are essentially stochastic parrots<\/a> \u2013 namely, machines that are good at generating convincing sentences, but do not actually understand the meaning of the language they are processing. They have somehow \u201cread\u201d (that is, ingested) everything ever published in machine-readable form and create sentences word by word<\/a>, at each point making a statistical guess of \u201cwhat one might expect someone to write after seeing what people have written on billions of webpages, etc\u201d. That\u2019s it!<\/p>\n

Ever since ChatGPT arrived last November<\/a>, people have been astonished by the capabilities of these parrots \u2013 how humanlike they seem to be and so on. But consolation was drawn initially from the thought that since the models were drawing only on what already resided in their capacious memories, then they couldn\u2019t be genuinely original: they would just regurgitate the conventional wisdom embedded in their training data. That comforting thought didn\u2019t last long, though, as experimenters kept finding startling and unpredictable behaviours<\/a> of LLMs \u2013 facets now labelled \u201cemergent abilities<\/a>\u201d.<\/p>\n

Continue reading…<\/a>
\nThe chatbot GPT-4 has produced more viable commercial ideas more efficiently and more cheaply than US university students
\nIn all the frenzied discourse about large language models (LLMs) such as GPT-4 there is one point on which everyone seems to agree: these models are essentially stochastic parrots \u2013 namely, machines that are good at generating convincing sentences, but do not actually understand the meaning of the language they are processing. They have somehow \u201cread\u201d (that is, ingested) everything ever published in machine-readable form and create sentences word by word, at each point making a statistical guess of \u201cwhat one might expect someone to write after seeing what people have written on billions of webpages, etc\u201d. That\u2019s it!
\nEver since ChatGPT arrived last November, people have been astonished by the capabilities of these parrots \u2013 how humanlike they seem to be and so on. But consolation was drawn initially from the thought that since the models were drawing only on what already resided in their capacious memories, then they couldn\u2019t be genuinely original: they would just regurgitate the conventional wisdom embedded in their training data. That comforting thought didn\u2019t last long, though, as experimenters kept finding startling and unpredictable behaviours of LLMs \u2013 facets now labelled \u201cemergent abilities\u201d. Continue reading…Technology | The Guardian<\/p>\n","protected":false},"excerpt":{"rendered":"

The chatbot GPT-4 has produced more viable commercial ideas more efficiently and more cheaply than US university students In all the frenzied discourse about large language models (LLMs) such as GPT-4 there is one point on which everyone seems to agree: these models are essentially stochastic parrots \u2013 namely, machines that are good at generating …<\/p>\n

When it comes to creative thinking, it\u2019s clear that AI systems mean business | John Naughton<\/span> Read More »<\/a><\/p>\n","protected":false},"author":0,"featured_media":11658,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts\/11657"}],"collection":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/comments?post=11657"}],"version-history":[{"count":0,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/posts\/11657\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/media\/11658"}],"wp:attachment":[{"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/media?parent=11657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/categories?post=11657"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/costops.com\/index.php\/wp-json\/wp\/v2\/tags?post=11657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}