[menacingly]

You're only allowed to believe LLMs are a kind of digital messiah or that they're complete hype garbage, when of course the answer is some point between.

There is obviously a lot of potential here, but there is also a lot of solution looking for a problem.

My current red flag is if an argument hinges on a trademark breathless frisson for the growth potential. Statements like "models are getting smarter every month" that hasn't been true for a year. If your excitement over AI is based not on what we can do today, but a presumed future expansion for which we have no evidence, that's silly.

But what they can do today is cool. We worked for a long time to get computers to understand natural language intent, and LLMs demonstrably solve this problem.

[hi-v-rocknroll]

It's going to take much longer and more human(?) effort to apply DL/LLMs in worthy applications by adding constraints and human-injected workarounds to make them work with more useful and fewer unpleasant surprises.