Row 7731

Row ID: 7731 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 7731 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I've always wanted to read more then I do, but for whatever reason I have a hard time getting into books because I just have a hard time keeping up with what's going on and visualizing the words on the page. Audiobooks help a little, but it's still not really enough... until now that is.

I recently started reading The Stormlight Archive by Brandon Sanderson, and what I've been doing is after I finish each chapter, I'll put the chapter's text from the e-book into a file and attach it on ChatGPT (now using GPT-4o) and asking the following: "Analyze and summarize the attached text, then generate 3 images depicting different scenes from the text".

I'm pretty amazed at the results. Not only do the summaries help me better understand what I just read, but the generated pictures help me visualize the scenes better then I ever thought possible. Here's one picture it generated that I'm really impressed with:

https://preview.redd.it/2ul6tiqt1z0d1.jpg?width=1792&format=pjpg&auto=webp&s=c7272d78f0b26b720cb8e023f32442772a50441a

This is a scene from a chapter showing the aftermath of a battle, where Kaladin (the main protagonist) is a slave who's bridge crew was attacked leaving him clinging to life. It even accurately portrayed Sylphrena, the tinkerbell-like spren that's befriended Kaladin.

This really is amazing, at least to me. Hopefully in the future it can even generate audio or even video based text.

FieldValue
text I've always wanted to read more then I do, but for whatever reason I have a hard time getting into books because I just have a hard time keeping up with what's going on and visualizing the words on the page. Audiobooks help a little, but it's still not really enough... until now that is. I recently started reading The Stormlight Archive by Brandon Sanderson, and what I've been doing is after I finish each chapter, I'll put the chapter's text from the e-book into a file and attach it on ChatGPT…
label r/chatgpt
dataType post
communityName r/ChatGPT
datetime 2024-05-17
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url_encoded Z0FBQUFBQm5Lak9IaHBNbllzZXFPbEpxYl9MZ2JzQWxoLV9YcTBnTWhwVlBPN0JESUcxc0kwZXdVand1ekszTV9Qb1lJRV81ay13dW0tM01EWW5tNERvanZfVlIyWWk5clpDX1N6LWFFY01ZWXVCUUNkWm42VFNVRllSN3Y0TFl3ZDRUc1N3VEo0TzR3bGdlR1F6bzFPalNCTWR3RVlSMzhlWG5MRzhSalpkUlFfa280Y1BtRDEzQ2RQMEN2SURrLXNKbGJPY1U3YXNH

Raw Record

{
  "text": "I've always wanted to read more then I do, but for whatever reason I have a hard time getting into books because I just have a hard time keeping up with what's going on and visualizing the words on the page.  Audiobooks help a little, but it's still not really enough... until now that is.\n\nI recently started reading The Stormlight Archive by Brandon Sanderson, and what I've been doing is after I finish each chapter, I'll put the chapter's text from the e-book into a file and attach it on ChatGPT (now using GPT-4o) and asking the following: \"Analyze and summarize the attached text, then generate 3 images depicting different scenes from the text\".\n\nI'm pretty amazed at the results.  Not only do the summaries help me better understand what I just read, but the generated pictures help me visualize the scenes better then I ever thought possible.  Here's one picture it generated that I'm really impressed with:\n\nhttps://preview.redd.it/2ul6tiqt1z0d1.jpg?width=1792&format=pjpg&auto=webp&s=c7272d78f0b26b720cb8e023f32442772a50441a\n\nThis is a scene from a chapter showing the aftermath of a battle, where Kaladin (the main protagonist) is a slave who's bridge crew was attacked leaving him clinging to life.  It even accurately portrayed Sylphrena, the tinkerbell-like spren that's befriended Kaladin.\n\nThis really is amazing, at least to me.  Hopefully in the future it can even generate audio or even video based text.  ",
  "label": "r/chatgpt",
  "dataType": "post",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-17",
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Entry Information