relic_
@relic_@lemm.ee
- Comment on Majority of AI Researchers Say Tech Industry Is Pouring Billions Into a Dead End 3 weeks ago:
No there’s some ideas out there. Concepts like heirarchical reinforcement learning are more likely to lead to AGI with creation of foundational policies, problem is as it stands, it’s a really difficult technique to use so it isn’t used often. And LLMs have sucked all the research dollars out of any other ideas.
- Comment on Jellyfin is not just good... but *better* than Plex now?! 1 month ago:
I think it sounds like you want a paid product that just works out of the box. Jellyfin has some rough edges sure, but it’s also a volunteer project for the most part.
I’ve got to disagree or clarify with some of these points. These points seem subjective and I feel the need to say something in case others are trying to compare plex/jellyfin.
-
Hardware acceleration works just fine? Unless there’s some hardware specific issue?
-
The difference in apps is because there’s two platforms. The web player (with CSS themeing) and the native (like on Android, which is a straight up android app, not a web page). There’s some capabilities that you can only get on Android if you build an app instead of a web player. There’s only like one guy building the android TV app.
-
Unfortunately just one guy working in his spare time on the android TV app. I’ve never had subtitle issues either (might be a good time to open a bug in report?)
-
Jellyfin “remote” is pretty rudimentary. You’d be better off just accessing it through a tunnel anyways – and then youd have access to your own just not your server.
-
- Comment on Thoughts on Final Fantasy VII Remake 1 month ago:
It’s funny to see this opinion as I loved Remake and hated Rebirth (quit after about 10 hours). I never played the originals, so my perspective is different, but Remake was nice and streamlined but I felt like Rebirth, in contrast, was a bloated open world slog.
- Comment on Choosing pink is chaotic evil? 3 months ago:
All diapers have their limit
- Comment on Are any games using neural networks for better hard AI that doesn't cheat? 5 months ago:
Historically, AI has found and used exploits. Before OpenAI was known for chatgpt, they did a lot of work in reinforcement learning (often deployed in game-like scenarios). One of the more mainstream training strategies (pioneered at OpenAI) played sonic and would exploit bugs in the game, for example.
The compute used for these strategies are pretty high though. Even crafting a diamond in Minecraft can require playing for hundreds of millions of steps, and even then, AI might not constantly reach their goal. Theres still interesting work in the space, but sadly LLMs have sucked up a lot of the R&D resources.
- Comment on Are any games using neural networks for better hard AI that doesn't cheat? 5 months ago:
The challenge is that AI for a video game (even one fixed game) is very problem specific and there’s no generalized approach/kit for developing AI for games. So while there’s research showing AI can play games, it’s involved lots of iteration and AI expertise. Thats obviously a large barrier for any video game and that doesn’t even touch the compute requirements.
There’s also the problem of making AI players fun. Too easy and they’re boring, too hard and they’re frustrating. Expert level AI can perform at expert level, which wouldn’t be fun for the average player. Striking the right difficulty balance isn’t easy or obvious.