Apple and Google avoid naming ChatGPT as their 'app of the year'

Re:Apple and Google avoid naming ChatGPT as their 'app of th... by alright2565 on Thursday November 30, 2023 @08:40AM (#38473369)

I more-or-less know what I expect it to give me, so I can just go somewhere else then. I tend to ask it three broad sets of queries, since it's what it does best at. tl;dr: it can transform text very well, even with lots of ambiguity. also it knows technical vocab

- if I'm working in a field that's new to me or that I don't understand, I ask for help understanding the basics and vocabulary of the field. it does very well at this.

- if I have a well defined problem, but am simply not familiar with the libraries for a given situation, it tends to do a good job translating my english queries into the right code. I do examine and test the code afterwards to make sure it's correct. You can really see this in action when you ask it to do data analysis; and the REPL loop in that mode is also great at catching bugs.

- if I have like a copy-paste from a documentation site, I can ask it to transform that into code or into a better-formatted version. this saves a lot of time, and I don't have to remember regexes or vim keybinds

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Re:Apple and Google avoid naming ChatGPT as their 'app of th... by ifyoubuildit on Thursday November 30, 2023 @08:54AM (#38473528)

> if I'm working in a field that's new to me or that I don't understand, I ask for help understanding the basics and vocabulary of the field. it does very well at this

I also do this, but I am careful about being confident that "it does very well at this". We can't actually evaluate what it's putting out, other than that it sounds plausible, which is something LLMs are truly great at.

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