I guess the difference is ChatGPT is less likely to cause death if it makes a mistake.
Users generally have time to decide if the output ChatGPT provides is accurate and worth actioning.
Users generally have time to decide if the output ChatGPT provides is accurate and worth actioning.
We found out about the lawyers citing ChatGPT because they were called out by a judge. We find out about Google Maps errors when someone drives off a broken bridge.
https://edition.cnn.com/2023/09/21/us/father-death-google-gp...
For other LLMs we see mistakes bold enough that everyone can recognise them — the headlines about Google's LLM suggesting eating rocks and putting glue on your pizza (at least it said "non-toxic glue").
All it takes is some subtle mistake. The strength and the weakness of the best LLMs is their domain knowledge is part way between a normal person and a domain expert — good enough to receive trust, not enough to deserve it.