Hello, just wanted to share my story as a reminder with all the lay offs in the gaming industry, it has been terrible outside of it too. I’ve been working as an automation QA for a pretty decent software company and I was about to hit like 11 years on the job. Also on the side I’ve been trying to get my own indie game dev studio off the ground with releasing 3 small games in the past 3 years.
After saving for like 10 years and living in small rented apartments, last summer I finally managed to secure enough money so I can get a loan to buy my first apartment. After a year of dealing with contractors (yes, they are that slow!!!) I finally moved and was hoping to be able to focus my free time on my game again. However literally first Monday we have a meeting with a head of our department and they said we are practically being replaced with A.I. So around 60% of the company is gone across all offices in 3 different continents…
I guess my dream has always been to go full time game dev, it’s just I was hoping to be able to do it on my own terms and not kinda being forced into it. But with no real money coming in from my previous games I might not be able to make payments for the place I bought and spent most of my adult life saving for.
So now I guess I don’t have a choice but to go all in on my current game. If you want to check it out and leave feedback on how it looks or even wishlist, you can so here STEAM
Wish me luck guys and gals!
It’s not an LLM IIRC (the deepl one at least, Google now uses gemini)
Edit: apparently Deepl has been converted to an LLM since some time
what in blazes do you think is a «large language model»?
Deepl was around way before LLMs. It was still made with neutral networks trained on research papers and the like but it couldn’t be communicated with or generate stuff for you. So u can see why axolotl thought that it didn’t use LLMs. However it seems to nowadays use LLMs
…
What makes one think NNs are not LLMs?
LLMs are neutral networks but not all neural networks are LLMs
LLMs are NNs for whoever is wondering btw
Edit: i wanna add that NNs used specifically for translations are way less impactful on the enviroment, i don’t know how deepl got the data but google would crowdsource them because it’s just wayy easier to do with something so specific and gives higher quality than stolen stuff
All LLMs are AIs but not all AIs are LLMs (and LLMs are what y’all are hating)
Pray tell what AI isn’t trained on ❝large contested data❞
🧵, blatantly. But asset diffusers from stolen assets are also highly discouraged, as they are illegal, and it demonstrated the planet the two classes than ever before: corporate power can lobby copyright infringement, while everyone else cannot. Many hate it for quality reasons. I hate it because it’s fascism in its purest form: appropriating assets without consent.
Search Engines (no, i don’t mean that bullshit google did, i mean any search engine before 2020), reccomendation systems(many other algorithms too), OCR, etc etc
I can only agree, i will be a “fan” of LLMs only when someone decide to train them with data collected legally, which no one does apparently, i hope it gets easy and economic to train LLMs, even stupid ones on your own data, so i could train one on my git repos or some documentation
Edit: removed “translation” because i forgot that they use (ofc) NNs
… how do you think these aggregating sorters are trained?
The OCR argument is contradictory.
Fascists are already colluding to make their breaches legal.
Well, i mean, legal like before the fascist scum tried to make the illegal legal
sure.
But be aware crawlers (search engines), OCR, and even suggestions sorters are trained on data, especially adversarially. Some infringing IP, some self-generated.
OP got smacked for using a LLM, when e could have hired localizers, even 🧵.
Can you tell me what 🧵 does mean?