Revising image captions for a ChatGPT conversation with model o1-mini

Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats

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the chat chat screen with the chat button highlighted
🤖 Screen capture of a ChatGPT interface in dark mode, showing a conversation about “Chain of Thought Overview.” The left sidebar contains navigation options, including “ChatGPT,” “Graphic Tale Maker,” “JavaScript Code Streamliner,” “R Code Streamliner,” and more. The sidebar also displays a list of recent items like “Chain of Thought Overview,” “Chain-of-Thought Prompting Support,” and “Reasoning Tokens Explained.” In the main conversation area, the user prompt reads: “Complete the following sentence: One of the core ideas behind Chain of Thought (CoT) is derived from another seminal article…” The AI response starts with “Understanding key concepts” and discusses concepts related to “Chain of Thought” and “in-context learning” by referencing a 2020 paper by Brown et al. The conversation continues below with more detailed analysis.

[Alt text by ALT Text Artist GPT]
😎 Wrong. Don’t mention the sidebar. Describe it’s a chat with the model o1-mini on ChatGPT. The key parts are the prompt, the “Thought for * seconds”, and the response
🤖 Screen capture of a chat with the model “ChatGPT o1-mini” on the ChatGPT interface. The prompt reads: “Complete the following sentence: One of the core ideas behind Chain of Thought (CoT) is derived from another seminal article, Language Models are Few-Shot Learners (Brown et al., 2020), which introduced the concept of ‘in-context-learning’ to describe how language models…” Below the prompt, there is a “Thought for a few seconds” indicator. The response from the model is divided into sections: “Understanding key concepts,” discussing the connection between “Chain of Thought” (CoT) and “in-context-learning,” referencing the 2020 Brown et al. paper, and “Tracing genesis from learning,” further explaining the emergence of Chain of Thought.

[Alt text by ALT Text Artist GPT]
😎 it’s not the response what is divided in two, it’s the “thought for * seconds” section. The response is below that section (NOTICE THE DROPDOWN ARROW: YOU NOTICE IT. YOU. NOW REWRITE THE ALT/CAPTION)
🤖 Screen capture of a chat with the model “ChatGPT o1-mini” on the ChatGPT interface. The prompt reads: “Complete the following sentence: One of the core ideas behind Chain of Thought (CoT) is derived from another seminal article, Language Models are Few-Shot Learners (Brown et al., 2020), which introduced the concept of ‘in-context-learning’ to describe how language models…” Below the prompt is a “Thought for a few seconds” section, which is divided into two collapsed parts, indicated by a dropdown arrow: “Understanding key concepts” and “Tracing genesis from learning.” The response appears below this section, discussing the connection between “Chain of Thought” (CoT) and “in-context-learning,” referencing the 2020 Brown et al. paper.

[Alt text by ALT Text Artist GPT]
😎 the response does not discuss anything. Did you read the prompt?
🤖 Screen capture of a chat with the model “ChatGPT o1-mini” on the ChatGPT interface. The prompt reads: “Complete the following sentence: One of the core ideas behind Chain of Thought (CoT) is derived from another seminal article, Language Models are Few-Shot Learners (Brown et al., 2020), which introduced the concept of ‘in-context-learning’ to describe how language models…” Below the prompt is a “Thought for a few seconds” section, which is divided into two collapsed parts, indicated by a dropdown arrow: “Understanding key concepts” and “Tracing genesis from learning.” The response appears below this section, completing the prompt by stating: “One of the core ideas behind Chain of Thought (CoT) is derived from another seminal article, Language Models are Few-Shot Learners (Brown et al., 2020), which introduced the concept of ‘in-context learning’ to describe how language models can perform a variety of tasks by conditioning on a few examples or instructions provided within the prompt.”

[Alt text by ALT Text Artist GPT]
😎 Short. “GPT-3” is a mandatory term. The date is also mandatory

the guardian article on the guardian
🤖 Screenshot of a Guardian article dated June 12, 2020, with the headline: “Elon Musk-backed OpenAI to release text tool it called dangerous.” The article discusses OpenAI’s release of GPT-3, a text generation AI, for coding and data entry. A photograph of Elon Musk is featured below the headline, with a caption noting OpenAI’s founding and Musk’s involvement. The article highlights OpenAI’s launch of GPT-3’s API, which was initially considered too dangerous to release.

[Alt text by ALT Text Artist GPT]
😎 “which was initially considered too dangerous to release.” is not a text that describes an image, it’s a statement you just made
🤖 Screenshot of a Guardian article dated June 12, 2020, with the headline: “Elon Musk-backed OpenAI to release text tool it called dangerous.” Below the headline, there is a subheading: “The API gives firms access to a text generation AI for use in coding and data entry.” A photograph of Elon Musk is featured, with a caption stating, “OpenAI was founded with a $1bn endowment in 2015, backed by Elon Musk. He has since left the board, but remains as a donor. Photograph: Hannibal Hanschke/Reuters.” The article is categorized under “Artificial intelligence (AI)” and is noted as being “more than 4 years old.”

[Alt text by ALT Text Artist GPT]
😎

a cartoon of a man talking to another man
🤖 Cartoon-style image of two men conversing indoors. The man on the left, wearing a blue hoodie, extends his hand for a handshake and says, “My daughter tells me you’re an AI Engineer.” The man on the right, dressed in a yellow sweater with a shirt and tie underneath, responds, “Yes, Prompt Engineer.” At the bottom of the image, a speech bubble from the man on the right states, “You have exactly 10 seconds to get the f💥💥💥 out of my house.”

[Alt text by ALT Text Artist GPT]
😎 review your speech bubble associations and mention the man on the left is young and the man on the right is older
🤖 Cartoon-style image of a conversation between a young man on the left and an older man on the right. The young man, wearing a blue hoodie, extends his hand for a handshake and says, “My daughter tells me you’re an AI Engineer.” The older man, dressed in a yellow sweater over a shirt and tie, replies in a speech bubble, “Yes, Prompt Engineer.” In a speech bubble at the bottom, the older man says, “You have exactly 10 seconds to get the f💥💥💥 out of my house.”

[Alt text by ALT Text Artist GPT]
😎 “Yes, Prompt Engineer.” is what the young man says. The other two bubbles are tied to the other man
🤖 Cartoon-style image of a conversation between a young man on the left and an older man on the right. The young man, wearing a blue hoodie, extends his hand for a handshake and says, “Yes, Prompt Engineer.” The older man, dressed in a yellow sweater over a shirt and tie, says in the top speech bubble, “My daughter tells me you’re an AI Engineer.” At the bottom of the image, the older man continues, “You have exactly 10 seconds to get the f💥💥💥 out of my house.”

[Alt text by ALT Text Artist GPT]
😎 It’s a conversation read from top to bottom
🤖 Cartoon-style image of a conversation between a young man on the left and an older man on the right. The older man, dressed in a yellow sweater over a shirt and tie, says in the top speech bubble, “My daughter tells me you’re an AI Engineer.” The young man, wearing a blue hoodie and extending his hand for a handshake, replies, “Yes, Prompt Engineer.” At the bottom of the image, the older man says, “You have exactly 10 seconds to get the f💥💥💥 out of my house.”

[Alt text by ALT Text Artist GPT]

Hugging Face Dataset Metrics

All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: