Summary of Measuring Bullshit in the Language Games Played by Chatgpt, By Alessandro Trevisan et al.
Measuring Bullshit in the Language Games played by ChatGPT
by Alessandro Trevisan, Harry Giddens, Sarah Dillon, Alan F. Blackwell
First submitted to arxiv on: 22 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Generative large language models (LLMs) have been compared to the language of bullshitters, as described by philosopher Harry Frankfurt. This paper delves into this concept, exploring how LLM-based chatbots play a “language game of bullshit.” The authors use statistical text analysis to investigate the features of this language game, comparing scientific publications with pseudo-scientific text generated by ChatGPT. They also examine whether similar language patterns can be found in George Orwell’s critique of politics and language, as well as David Graeber’s concept of “bullshit jobs.” The study demonstrates that a statistical model of the language of bullshit can reliably relate artificial bullshitting to real-world examples. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how big language models are like bullshitters. It’s not just about how they talk, but also what they’re trying to do with their words. The researchers compared these chatbots’ language to real scientific writing and fake pseudo-scientific text. They also looked at examples from famous writers George Orwell and David Graeber. The study found that there are patterns in the way bullshitters talk that can be identified using simple statistical methods. |
Keywords
» Artificial intelligence » Statistical model
