The main use case for LLMs is writing text nobody wanted to read. The other use case is summarizing text nobody wanted to read. Except they don’t do that either. The Australian Securities and…
I also use it for that pretty often. I always double check and usually it’s pretty good. Once in a great while it turns the summary into a complete shitshow but I always catch it on a reread, ask a second time, and it fixes things up. My biggest problem is that I’m dragged into too many useless meetings every week and this saves a ton of time over rereading entire transcripts and doing a poor job of summarizing because I have real work to get back to.
I also use it as a rubber duck. It works pretty well if you tell it what it’s doing and tell it to ask questions.
what if your rubber duck released just an entire fuckton of CO2 into the environment constantly, even when you weren’t talking to it? surely that means it’s better
I also use it for that pretty often. I always double check and usually it’s pretty good. Once in a great while it turns the summary into a complete shitshow but I always catch it on a reread, ask a second time, and it fixes things up. My biggest problem is that I’m dragged into too many useless meetings every week and this saves a ton of time over rereading entire transcripts and doing a poor job of summarizing because I have real work to get back to.
I also use it as a rubber duck. It works pretty well if you tell it what it’s doing and tell it to ask questions.
Isn’t the whole point of rubber duck debugging that the method works when talking to a literal rubber duck?
what if your rubber duck released just an entire fuckton of CO2 into the environment constantly, even when you weren’t talking to it? surely that means it’s better