alt Hacker NewsYes but the key here is doing proper risk assessment. "What is the consequence if the LLM gets this wrong?" "How do we verify the output?" "What are the legal ramifications for using the LLM in this way?" "Who is responsible when the LLM fails?" "Whats the expected accuracy here?" etc.
In the current AI mania, there's a lot of due diligence simply being ignored. Plenty of "Well humans make mistakes too!" going on here on HN too.
The due diligence not being done is people putting cats in microwaves. It‘s not the dangerous part. The real danger is risk assessments coming to wrong conclusions, because it is still terra incognita. Talented engineers were in this situation before, doing mistakes with cars, airplanes, buildings etc.