Asklemmy

I’m piping my in house camera to Gemini. Funny how it comments our daily lives. I should turn the best of in a book or something.

Before it was hot, I used ESRGAN and some other stuff for restoring old TV. There was a niche community that finetuned models just to, say, restore classic SpongeBob or DBZ or whatever they were into.

These days, I am less into media, but keep Qwen3 32B loaded on my desktop… pretty much all the time? For brainstorming, basic questions, making scripts, an agent to search the internet for me, a ‘dumb’ writing editor, whatever. It’s a part of my “degoogling” effort, and I find myself using it way more often since it’s A: totally free/unlimited, B: private and offline on an open source stack, and C: doesn’t support Big Tech at all. It’s kinda amazing how “logical” a 14GB file can be these days, and I can bounce really personal/sensitive ideas off it that I would hardly trust anyone with.

…I’ve pondered getting back into video restoration, with all the shiny locally runnable tools we have now.

LLMs are pretty good at reverse dictionary lookup. If I'm struggling to remember a particular word, I can describe the term very loosely and usually get exactly what I'm looking for. Which makes sense, given how they work under the hood.

I've also occasionally used them for study assistance, like creating mnemonics. I always hated the old mnemonic I learned in school for the OSI model because it had absolutely nothing to do with computers or communication; it was some arbitrary mnemonic about pizza. Was able to make an entirely new mnemonic actually related to the subject matter which makes it way easier to remember: "Precise Data Navigation Takes Some Planning Ahead". Pretty handy.

Great for giving incantatons for ffmpeg, imagemagick, and other power tools.

"Use ffmpeg to get a thumbnail of the fifth second of a video."

Anything where syntax is complicated, lots of half-baked tutorials exist for the AI to read, and you can immediately confirm if it worked or not. It does hallucinate flags, but fixes if you say "There is no --compress flag" etc.

Tailored boilerplate code

I can write code, but it's only a skill I've picked up out of necessity and I hate doing it. I am not familiar with deep programming concepts or specific language quirks and many projects live or die by how much time I have to invest in learning a language I'll never use again.

Even self-hosted LLMs are good enough at spitting out boilerplate code in popular languages that I can skip the deep-dive and hit the ground running- you know, be productive.

It's good for boring professional correspondence. Responding to bosses emails and filling out self evaluations that waste my time

Employment. I got a job with one of the big companies in the field. Very employee-focused. Good pay. Great benefits. Commute is 8 miles. Smart, pleasant, and capable co-workers.

As far as using the stuff - nope. Don't use it at all.

I've done lots of cool things with AI. Image manipulation, sound manipulation, some simple videogames.

I've never found anything cool to do with an LLM.

Legitimately, no. I tried to use it to write code and the code it wrote was dog shit. I tried to use it to write an article and the article it wrote was dog shit. I tried to use it to generate a logo and the logo it generated was both dog shit and raster graphic, so I wouldn’t even have been able to use it.

It’s good at answering some simple things, but sometimes even gets that wrong. It’s like an extremely confident but undeniably stupid friend.

Oh, actually it did do something right. I asked it to help flesh out an idea and turn it into an outline, and it was pretty good at that. So I guess for going from idea to outline and maybe outline to first draft, it’s ok.

I'm an author working on an online story series. Just finished S04. My editing was shit and I could not afford to pay someone to do it for me.

So I write the story, rewrite the story, put it through GPT to point out irregularities, grammatical errors, inconsistencies etc, then run it through Zoho's Zia for more checks and finally polish it off with a final edit of my own. This whole process takes around a year.

Overall, quality improved, I was able to turn around stuff quicker and it made me a lot more confident about the stuff I am putting out there.

I also use Bing image creator for the artwork and have seen my artwork improve dramatically from what Dream (Wombo) used to generate.

Now I am trying to save up to get a good GPU so that I can run Stable Diffusion so that I can turn it into a graphic novel.

Naturally I would like to work with an artist cause I can't draw but everyone I meet asks for 20 - 30k dollars deposit to do the thing. Collaborations have been discussed and what I've learnt is that as times get tough, people are requesting for greater shares in the project than I, the originator, have. At some point when I was discussing with an artist, he was side lining me and becoming the main character. I'm not saying that all artists are like this, but dang, people can be tough to deal with.

I respect that people have to eat, but I can't afford that and I have had this dream for years so finally I get a chance to pull it off. My dream can't die without me giving it my best so this is where I am with AI.

Getting my ollama instance to act as Socrates.

It is great for introspection, also not being human, I'm less guarded in my responses, and being local means I'm able to trust it.

ChatGPT kind of sucks but is really fast. DeepSeek takes a second but gives really good or hilarious answers. It’s actually good at humor in English and Chinese. Love that it’s actually FOSS too

I bought a cheap barcode scanner and scanned all my books and physical games and put it into a spreadsheet. I gave the spreadsheet to ChatGPT and asked it to populate the titles and ratings, and genre. Allows me to keep them in storage and easily find what I need quickly.

Pasting code and error messages in saves time in debugging stupid mistakes.

One day I'm going to get around to hooking a local smart speaker to Home Assistant with ollama running locally on my server. Ideally, I'll train the speech to text on Majel Barrett's voice and be able to talk to my house like the computer in Star Trek.

Made a product search script that sorts eBay listings based on total per unit price (including shipping). Good for finding the cheapest multi-pack, lot, bundle, etc. by unit. Using Qwen 3 4B and feeding it a single listing at a time to parse.

Finding specific words in an MP3 log file for our radio station. Free app called Vibe transcribes locally.

It's good at paraphrasing paragraphs to contain no 'fifth glyphs'

I love fantasy worldbuilding and write a lot. I use it as a grammar checker and sometimes use it to help gather my thoughts, but never as the final product.

I use it for books/movies/music/games recommandations (at least while it isn't used for ads...). You can ask for an artist similar to X or a short movie in genre X. The more demanding you are the better, like a "funny scifi book in the YA genre with a zero to hero plot".

Nope. Any use case I have tried with it, I usually find that either a python script, database, book, or piece of paper can always accomplish the same job but usually with a better end result and with a more reliably reproducible outcome.

I've used llms to generate dialogue trees for a game and generate data with coordinates to describe the layout of the game world. in some ways it can replace procedural generation code.

It’s helping me understand how I think so that I can create frameworks for learning, problem solving, decision making etc. I’m neurodivergent.

Apart from avoiding it?

This is a very rare use case, but one where i definetly found them very useful. Similar to another answer mentioning reverse-dictionary lookup, i used llms for reverse-song/movie lookup. That is, i describe what i know about the song/movie (whatever else, could be many things) and it gives me a list of names that i can then manually check or just directly recognize.

This is useful for me because i tend to not remember names / artists / actor names, etc.