So large language model are great on but have undesirable result occasionally. Hand coded scripts are added to remove the undesirable outcomes but still produce other problems - crashed but less often.
More and more things are going to be filtered through large language model apps and the possibilities for cascading failures will be even more interesting than what exists presently.
I was able to get GPT-3 to spit out reasonably accurate biographies for a couple of composers I know.
GPT-3 could go even further — one of my composer friends has a reasonably rare first name, and when given the prompt "There once was a man named $first_name", GPT-3 responded with a number of limericks tailored to his particular set of skills.
There once was a man named $first_name,
Who never accepted the blame.
He went on a bender,
And talked about gender
[INFO] [default] [2022-07-10T07:59:07.641Z] [fetchCompletions] engine https://copilot-proxy.githubusercontent.com/v1/engines/copilot-codex
More and more things are going to be filtered through large language model apps and the possibilities for cascading failures will be even more interesting than what exists presently.