Summary of How Good Is Gpt at Writing Political Speeches For the White House?, by Jacques Savoy
How good is GPT at writing political speeches for the White House?
by Jacques Savoy
First submitted to arxiv on: 19 Dec 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study uses a large language model called GPT-3.5 and GPT-4.0 to analyze the written style of US presidents, comparing their State of the Union addresses with those generated by the AI models. The results show that GPT tends to overuse the word “we” and produce shorter messages with longer sentences compared to US presidents. Additionally, GPT has a more optimistic tone, using political, symbolic, and abstract terms more frequently than human speakers. Despite attempts to impose an author’s style on GPT, the generated speeches remain distinct from those written by the target author. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers used artificial intelligence models called GPT-3.5 and GPT-4.0 to study how well they could write like US presidents. They looked at the words and sentences used in State of the Union addresses given by presidents Reagan to Biden, and compared them to speeches written by these AI models. The results show that the AI models have some differences from real people’s writing styles. |
Keywords
» Artificial intelligence » Gpt » Large language model