{"id":17044,"date":"2022-11-16T15:08:35","date_gmt":"2022-11-16T20:08:35","guid":{"rendered":"https:\/\/d3.harvard.edu\/platform-digit\/?post_type=hck-submission&p=17044"},"modified":"2022-11-16T15:08:35","modified_gmt":"2022-11-16T20:08:35","slug":"ai-fiction","status":"publish","type":"hck-submission","link":"https:\/\/d3.harvard.edu\/platform-digit\/submission\/ai-fiction\/","title":{"rendered":"AI fiction"},"content":{"rendered":"\n\n\n

I wondered how the AI generative model would respond to a prompt that doesn’t make much sense even to a human. Or perhaps a prompt that makes sense literally, but one on which we have no real-life experience or prior knowledge about.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

So I decided to go with “alien on unknown planet” because it has no “correct answer” for a response. As one would expect, the results are quite strange and unpredictable. <\/p>\n\n\n\n

To further break down the source of unpredictability, I tried a few more prompts to analyze whether the AI is just doing a fantastic job at depicting what humans can’t imagine or whether it is just stumbling and throwing back garbage. To do that I modified the prompt, making it simpler \/ decipherable in three stages:
<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

1. “alien on pluto”: The outcome was now dominated by well-known images of Pluto, with strange artifacts, perhaps induced by “alien”.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n\n\n\n

2. “alien on mercedes”: While the prompt doesn’t make much sense, the output looks like distorted images of Mercedes. However, I’m suspecting the distortions are simply stemming from the AI doing a poor job, and not because of being distracted by “alien” in the prompt. <\/p>\n\n\n\n

3. This hypothesis is supported by the final prompt which simply says “mercedes” but still returns mauled-up images of a Mercedes-like vehicle.<\/p>\n\n\n\n

\"\"<\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"

What does AI make of prompts even humans know nothing much about?<\/p>\n","protected":false},"author":19353,"featured_media":17045,"comment_status":"open","ping_status":"closed","template":"","categories":[],"class_list":["post-17044","hck-submission","type-hck-submission","status-publish","has-post-thumbnail","hentry"],"connected_submission_link":"https:\/\/d3.harvard.edu\/platform-digit\/assignment\/experiment-with-craiyon\/","yoast_head":"\nAI fiction - Digital Innovation and Transformation<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/ai-fiction\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI fiction - Digital Innovation and Transformation\" \/>\n<meta property=\"og:description\" content=\"What does AI make of prompts even humans know nothing much about?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/d3.harvard.edu\/platform-digit\/submission\/ai-fiction\/\" \/>\n<meta property=\"og:site_name\" content=\"Digital Innovation and Transformation\" \/>\n<meta property=\"og:image\" content=\"https:\/\/d3.harvard.edu\/platform-digit\/wp-content\/uploads\/sites\/2\/2022\/11\/alien.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"509\" \/>\n\t<meta property=\"og:image:height\" content=\"339\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/d3.harvard.edu\\\/platform-digit\\\/submission\\\/ai-fiction\\\/\",\"url\":\"https:\\\/\\\/d3.harvard.edu\\\/platform-digit\\\/submission\\\/ai-fiction\\\/\",\"name\":\"AI fiction - 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