They are referencing this paper: LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset from September 30.

The paper itself provides some insight on how people use LLMs and the distribution of the different use-cases.

The researchers had a look at conversations with 25 LLMs. Data is collected from 210K unique IP addresses in the wild on their Vicuna demo and Chatbot Arena website.

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That is also my observation. Even for (simple) tasks like summarization, I’ve seen LLMs insert to much inaccurate information to be useful for my own life. The tasks I see are somewhat narrow and require a human in the loop. Despite some people claiming we’re close to AGI.

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