For sure, there are a lot of legitimate use cases for this stuff. We're actually starting to see them being put to good use in China. One story I saw a little while back was about monitoring rail infrastructure and identifying potential faults so they can be repaired proactively. This is an excellent use case because it leverages the ability of the model to correlate a whole bunch of data which is something that humans find challenging to do, but also keeps it out of proactive decision making. This kind of approach of having LLMs work along side humans seems like the most promising approach in the near future.