While the reasoning capabilities of LLMs are steadily improving, they still lack the depth and nuance of human reasoning. Additionally, LLMs fall short if the data available for a topic on the internet is biased, for example, when certain viewpoints are under-represented online.
At present, LLMs also suffer from the hallucination problem, meaning they occasionally produce generate inaccurate or misleading results.
Despite these limitations, in some cases, LLMs may generate a valuable set of initial arguments. Humans can use this initial output as a starting point to develop stronger arguments or study the data retrieved to craft more nuanced questions.
AI tools can also assist with several operational tasks, such as:
- Detecting potential duplicate arguments
- Offering a second opinion on the relative strength of argument pairs
- Summarizing the information presented on a topic page