N0cT4rtle

1. Eh, not that I'm worried or not worried, kinda indifferent by now. A lot of stuff happened in the last couple of years, I think I won't be surprised by any kind of outcome.
2. I don't even know who the guy is, haha. Tho I did my fair share of research into cognitive studies, I'm way better at applicational side of things rather than theoretical. And as far as I understand, the guy is some sort of theoretical researcher?

Haha, thanks, I'll pass. Too much trauma from early days of training on 1060.

Funnily enough, even tho we didn't ask the boss to buy us all 5070, we did ask him to set us up with a new GPU for the production server. And yep, we've got one, and took the old GPU for our testing server :)

Nope, I definitely don't want to pressure any one to use AI. I genuinely don't understand the point of it.

As for a possible pivot. As the saying goes "if it works, don't break it". So I work. The job itself is definitely not the worst, actually the best in terms of conditions and benefits I've ever had. I actually enjoy the process of coding itself, doesn't really matter whether I do backend or machine learning or devops. I have background in data science, and AI is basically a glorified data science, so I guess it kinda fits my initial skill set

Most likely the whole AI stuff will reach some critical mass, when all the promises of the big corpos can't be fulfilled, the bubble will burst. But I think after some initial chaos the field will stabilize. AI is and will be a part of our lifes for better or for worse, it just won't be this overhyped.

As for dislike, no one really cares actually, as weird as it is. The management wants AI integration, we give them the best we can do. For my peers a job is a job.

I don't work for a big tech company, so I'm kinda not thaaaat woried. But definitely worried a bit.

I also work on backend stuff in general, so if worst comes to worst I guess I'll just be transfered to another department

Uhh... three

When integrating: LLMs and speech recognition models (like whisper)

When developing: some deeplearning stuff, what it is exactly depends on the use case. Tho, again, mostly related to text and audio data

I'd fucking love to :( Had to postpone expanding my home lab cuz of the rising prices

I started in the field cuz it's easier to gather veggies there... Like, pickles, right? Aight, bad joke. You actually reminded me that I don't even remember why I started doing AI. I do remember tho, that when the uni offered some extra lessons on AI I was like "why would I do that, I hate this AI trend, gimme cybersecurity"

The only time I've broken a GPU was when I've tried to launch first Kingdom Come: Deliverance on an old gtx720. It literally caught flame, albeit small. I train all my models either on dedicated test servers or, if the model is small enough, on my rtx4060 that I also use for gaming. All's been good for a couple of years

Nope, it's actually quite hard to ignore the topic of AI. As it happens, I work on it. So why not share the insider's perspective, so to speak? Haha

I actually make my own models for one job and integrate other models into our services for the other job. We also train some opensource models on our data sometimes.