I have at last had a use for ChatGPT (that was not about ChatGPT).
I was looking (as one does) at Aberdare St Elvan Place Triples. (It’s a bellringing thing, I won’t try to explain it.) I understood everything in that diagram except for the annotations “-M”, “-I”, etc., but those don’t lend themselves to Google searching.
So I asked ChatGPT as if I was asking a bell ringer:
When bellringing methods are drawn on a page, there are often annotations near each lead end consisting of a hyphen and a single letter, such as “-M”, “-I”, etc. What do these annotations mean?
It gave me a sensible-looking paragraph about what they meant, which I did not trust to be more accurate than a DALL•E hand, but its answer did give me the vocabulary to make a better Google query, which turned up a definitive source.
While I don’t yet have enough knowledge of bell-ringing to fully understand the definitive source, I believe my expectation about the quality of ChatGPT’s answer was accurate.
Just as Wikipedia is best used as a source for better sources, ChatGPT is best used as a source for better Google queries.
For what it’s worth, I use ChatGPT all the time, multiple times every day, even most hours. I usually don’t hit the request limits, but have three times now. Once with a sequence of Dall-E, I guess because evaluating an image is faster than evaluating a long text and because the generated pictures require a lot of tuning (so far).
I use it
as a Google replacement.
to figure out key words for Google queries like you did and to find original sources.
to summarize websites. Though for “generally known” stuff “no browse” is often better and faster.
as a generator for code fragments.
for debugging—just paste code and error message into it.
for understanding topics deeper in an interactive discussion style.
as a language coach. “Explain the difference between zaidi and kuliko in Swahili with examples.”
for improving texts of all kinds—I often ask: “criticise this text I wrote”.
and more I guess. I also let my kids have dialogs with it.
...and I use a custom GPT that a colleague created to write nice Scrum tickets based on technical information provided. Just paste in what you have, such a mail about a needed service update, a error log entry, or a terse protocol from a meeting and PO GPT will create a ticket readable for non-technies out of it.
I have at last had a use for ChatGPT (that was not about ChatGPT).
I was looking (as one does) at Aberdare St Elvan Place Triples. (It’s a bellringing thing, I won’t try to explain it.) I understood everything in that diagram except for the annotations “-M”, “-I”, etc., but those don’t lend themselves to Google searching.
So I asked ChatGPT as if I was asking a bell ringer:
It gave me a sensible-looking paragraph about what they meant, which I did not trust to be more accurate than a DALL•E hand, but its answer did give me the vocabulary to make a better Google query, which turned up a definitive source.
While I don’t yet have enough knowledge of bell-ringing to fully understand the definitive source, I believe my expectation about the quality of ChatGPT’s answer was accurate.
Just as Wikipedia is best used as a source for better sources, ChatGPT is best used as a source for better Google queries.
For what it’s worth, I use ChatGPT all the time, multiple times every day, even most hours. I usually don’t hit the request limits, but have three times now. Once with a sequence of Dall-E, I guess because evaluating an image is faster than evaluating a long text and because the generated pictures require a lot of tuning (so far).
I use it
as a Google replacement.
to figure out key words for Google queries like you did and to find original sources.
to summarize websites. Though for “generally known” stuff “no browse” is often better and faster.
as a generator for code fragments.
for debugging—just paste code and error message into it.
for understanding topics deeper in an interactive discussion style.
as a language coach. “Explain the difference between zaidi and kuliko in Swahili with examples.”
for improving texts of all kinds—I often ask: “criticise this text I wrote”.
and more I guess. I also let my kids have dialogs with it.
...and I use a custom GPT that a colleague created to write nice Scrum tickets based on technical information provided. Just paste in what you have, such a mail about a needed service update, a error log entry, or a terse protocol from a meeting and PO GPT will create a ticket readable for non-technies out of it.
https://chat.openai.com/g/g-FmWRcwG0i-po-gpt
...and I use ChatGPT to
generate illustrations for posts and inspirational images
read text from screenshots
MacOS has for a while had the capability to copy text out of images. Is ChatGPT just invoking a text-recognition library?
Yeah, there are also tools for Windows that can do that. But ChatGPT can format nicely, convert to CVS, bullet points etc.
No, it can do a lot of things with images, describe what is in there, style, etc. I think it is another image model.