{"id":2940,"date":"2025-08-17T15:49:09","date_gmt":"2025-08-17T22:49:09","guid":{"rendered":"https:\/\/www.robinstewart.com\/blog\/?p=2940"},"modified":"2025-09-08T13:21:09","modified_gmt":"2025-09-08T20:21:09","slug":"ai-is-capable-of-creativity","status":"publish","type":"post","link":"https:\/\/www.robinstewart.com\/blog\/2025\/08\/ai-is-capable-of-creativity\/","title":{"rendered":"AI is capable of creativity"},"content":{"rendered":"\n

I’m surprised how often I hear well-informed people argue that modern AI models are still “just repeating things that are in the training data.” This is simply not true. Large language models routinely solve math problems they have never seen, write poems that have never been written, and program software algorithms that are not in the training set.<\/p>\n\n\n\n

Of course, these outputs are similar<\/em> to things seen in the training data \u2014 but in the same way that humans mostly only solve math problems that are similar to ones we have seen, write poems that only use familiar elements of language, and write computer programs based on strategies we learned from other programs.<\/p>\n\n\n\n

This is not to say that AI models have reached or exceeded the limit of what humans can do. For instance, I am not aware of any AI models that have invented entirely new fields of research. Indeed, AI models are not yet competitive with most (if not all) experienced professionals. But in terms of everyday creativity \u2014 which involves copying, combining, and transforming known ideas \u2014 current AI models are quite capable.<\/p>\n\n\n\n

Part of the confusion may come from the need to “un-bundle creativity” as I wrote about previously<\/a>. We may not be used to viewing creativity on a spectrum from “somewhat creative” to “as creative as an experienced professional.”<\/p>\n\n\n\n

Another reason for misunderstanding may simply be our natural resistance to the idea that some of the things that used to be uniquely human are no longer so. (Though some animal species also exhibit creative problem solving.)<\/p>\n\n\n\n

We might also see generic or clich\u00e9 outputs from AI models and mistakenly attribute them to a lack of creativity. However, these generic responses likely come from models that are specifically trained to be neutral and multi-purpose. By default, popular systems do not veer far off the beaten path \u2014 for the same reason that most corporations do not hire erratic geniuses as spokespeople. They are still capable of creativity if prompted.<\/p>\n\n\n\n

Finally, we might unnecessarily conflate creativity with agency<\/em>. Part of being an artist is being moved<\/em> \u2014 knowing what you want<\/em> to create. Chatbots are designed to be assistants, only responding when prompted, so they do not have this type of intrinsic agency. A human needs to specify the goal and the constraints, but this still leaves plenty of room for the AI assistant to create novel solutions.<\/p>\n\n\n\n

If we define the very concept of creativity as something only humans can do, then the word becomes mostly useless in discussions about AI. To meaningfully discuss the impact of the technology now, we need to acknowledge the spectrum of creativity and the AI models’ very real capabilities for creative problem solving and artistic expression.<\/p>\n","protected":false},"excerpt":{"rendered":"

I’m surprised how often I hear well-informed people argue that modern AI models are still “just repeating things that are in the training data.” This is simply not true. Large language models routinely solve math problems they have never seen, write poems that have never been written, and program software algorithms that are not in … <\/p>\n

Continue reading “AI is capable of creativity”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/posts\/2940"}],"collection":[{"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/comments?post=2940"}],"version-history":[{"count":10,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/posts\/2940\/revisions"}],"predecessor-version":[{"id":2964,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/posts\/2940\/revisions\/2964"}],"wp:attachment":[{"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/media?parent=2940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/categories?post=2940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.robinstewart.com\/blog\/wp-json\/wp\/v2\/tags?post=2940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}