Friends and I have had a good laugh writing rap battles or poems about strangely specific topics, but that's about it.
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Super useful when I have a half-baked idea or concept that I want to learn more about, but don't know the lingo. I can explain the idea and it'll give me terms to search.
Also, it gives pretty good ideas for debugging or potential fixes.
Not sure i'd ever "trust with my life", but it's a useful tool if you use it right.
A game changer in helping me find out more about topics that have wisdom buried in threads of forum posts. Great to figure out things I have only fuzzy ideas or vague keywords that might be inaccurate. Great at explaining things that I can follow up on questions about details. Great at finding equations I need but I do not trust it one bit to do the calculations for me. Latest gen also gives me sources on request so I can double check and learn more directly from the horse's mouth.
More things I come to think of: Great for finding specs that have been wiped from manufacturers site. Great for making summaries and comparisons, filtering data and making tables to my requests. Great at rubberducking when I try fix something obscure in Linux though documentation it refers to is often outdated. Still works good for giving me flow and ideas of how to move on. Great at compiling user experiences for comparisons, say for varieties of yeasts or ingredients for home-brewing. This ties into my first comment about being a game changer for information in old forum threads.
I use it a lot to proofread my creative writing
Only small use cases on my end: Professional - great at helping me save time on syntax related things (“help me right an excel formula that validates cell C2 as a properly formatted US phone number”). Personal - really helpful at fleshing out a comedy idea I’m toying with (“help me analyze and expand why the idea of ‘vampires benefitting from an app called Is There Garlic In This’ is funny for a stand-up routine”).
Otherwise, I spend just as much time verifying the LLM’s output as I would have just doing it myself.
I used it the other day to redact names from a spreadsheet. It got 90% of them, saving me about 90 minutes of work. It has helped clean up anomalies in databases (typos, inconsistencies in standardized data sets, capitalization errors, etc). It also helped me spruce up our RFP templates by adding definitions for standard terminology in our industry (which I revised where needed, but it helped to have a foundation to build from).
As mentioned in a different post, I use it for DND storylines, poems, silly work jokes and prompts to help make up bed time stories.
My wife uses it to help proofread her papers and make recommendations on how to improve them.
I use it more often now than google search. If it’s a topic important enough that I want to verify, then I’ll do a deeper dive into articles or Wikipedia, which is exactly what I did before AI.
So yea, it’s like the personal assistant that I otherwise didn't have.
It had a good impact for me, it saved me from an immense headache of university. I explicitly told the professors that, I have issues with grammar (despite it being my native language).
They kept freaking out about it and I eventually resorted to ChatGPT. Solved the issue immediately.
I've used it to help me write batch scripts and excel formulas but found it pretty bad for LISP
I genuinely appreciate being able to word my questions differently than old google, and specifying deeper into my doubts than just a key word search.
It’s great to delve into unknown topics with, then to research results and verify. I’ve been trying to get an intuitive understanding of cooking ingredients and their interaction with eachother and how that relates to the body, ayurvedically.
I think it’s a great way to self-educate, personally.
I’ve implemented two features at work using their api. Aside from some trial-and-error prompt “engineering” and extra safeguards around checking the output, it’s been similar to any other api. It’s good at solving the types of problems we use it for (categorization and converting plain text into a screen reader compliant (WCAG 2.1) document). Our ambitions were greater initially, but after many failures we’ve settled on these use cases and the C-Suite couldn’t be happier about the way it’s working.
For me, a huge impact.
I took an export of all our apps reviews and used it to summarise user pain points. Immediately a list of things we can prioritise.
When I'm doing repetitive code. It will (90% of the time) place the next puzzle piece in the repetition.
Using better systems like Cursor, I was able to create a twitch bot. I could then use it to make various text based games such as 20 questions or trivia. All (90% again, nothing is perfect) of which was done through prompts.
ChatGPT itself didn't do anything, FastGPT from Kagi helps me everyday though, for quickly summarizing sources to learn new things (eg. I search for a topic and then essentially just click the cited sources).
And ollama + open-webui + stable-diffusion-webui with a customized llama3.1-8b-uncensored is a great chat partner for very horny stuff.
I have a book that I'm never going to write, but I'm still making notes and attempting to organize them into a wiki.
using almost natural conversation, i can explain a topic to the gpt, make it ask me questions to get me to write more, then have it summarize everything back to me in a format suitable for the wiki. In longer conversations, it will also point out possible connections between unrelated topics. It does get things wrong sometimes though, such as forgetting what faction a character belongs to.
I've noticed that gpt 4o is better for exploring new topics as it has more creative freedom, and gpt o1 is better for combining multiple fragmented summaries as it usually doesn't make shit up.
I don't care much about it either way tbh. It's just a program that spits words, chill down. I used picture generation glitches to create trippy animation for my music. When I use it for work, it's usually bad, sometime can help a bit.