Discussion Overview
The discussion revolves around the capabilities of ChatGPT in generating markdown code for tables, specifically for organizing information related to scientific papers and popular forum entries. Participants explore various queries and tricks to elicit desired outputs from the model.
Discussion Character
- Exploratory
- Technical explanation
- Debate/contested
Main Points Raised
- One participant requests markdown code for a table of papers on string theory, specifying the need for clickable URLs and open access preferences.
- Another participant suggests creating a table for popular entries on Physics Forums, including thread titles, subforum names, authors, and URLs.
- Some participants humorously note that ChatGPT seems to struggle with generating tables or providing external references directly, but can respond positively when asked for markdown code.
- One participant mentions that ChatGPT sometimes generates links that are local to OpenAI or hallucinates information, particularly when the topic is sensitive or banned.
- A variant query is proposed that instructs ChatGPT to generate markdown code for tables of popular websites and articles, emphasizing the need for authoritative sources and a specific format.
Areas of Agreement / Disagreement
Participants generally agree on the effectiveness of using markdown code to bypass limitations in generating tables, but there is no consensus on the reliability of the links generated or the consistency of ChatGPT's responses.
Contextual Notes
Some limitations are noted regarding the accuracy of generated links and the conditions under which ChatGPT may refuse to provide references, particularly related to sensitive topics.