Mikina

While I haven't read the paper, the comment's explanation seems to make sense. It supposedly contains a mathematical proof that making AGI from a finite dataset is a NP-hard problem. I have to read it and parse out the reasoning, if true, it would make for a great argument in cases like these.

https://lemmy.world/comment/14174326

If you look at it from this perspective, it sounds way more obvious. I like this PoV.

Lol. We're as far away from getting to AGI as we were before the whole LLM craze. It's just glorified statistical text prediction, no matter how much data you throw at it, it will still just guess what's the next most likely letter/token based on what's before it, that can't even get it's facts straith without bullshitting.

If we ever get it, it won't be through LLMs.

I hope someone will finally mathematically prove that it's impossible with current algorithms, so we can finally be done with this bullshiting.

Kagi can do this by default, without having to hope that a random extension doesn't one day suddenly decides to update into a infostealer. In general, apart from the few super popular ones, installing a random extension that can do the random niche thing you need is a pretty big risk.

I speak from experience, few years ago the developer of Nano Defender, which was at the time better at avoiding anti-adblock scripts, decided to sell/handout the extension to someone, who turned it into a cookie/info stealer, which got through automatic update and started wreaking havoc on everything I had logged in. Since then, I avoid extensions as much as possible.

As for Reddit having the answers - nah, never had an issue with finding what I need without reddit, for the last year I stopped using it, and in the few cases I didn't and resorted to turning off my vpn and looking at the thread, it was a mix of adverts pushing their product masquerading as comments, deleted or edited relics of the exodus, straith up wrong suggestions, and in general it didn't help me at all.

I had issues with setting up Fefora on NVIDIA for gaming (skill issue, probably), but switching to Nobara has fixed all of them and I've been single boot for almost a year since then.

I don't think I've ever met a cheater in any of those games (it was more than 15 years ago). And if I did, since it was one of the more active servers, there was usually an admin available. I don't remember it being an issue.

I a large part of my childhood, around age like 9-12, playing SW: Jedi Outcast and Jedi Academy multiplayer. Hanging out on a JAVA server with people I met over there, being part of a clan with regular practice that attended tournaments, but most of the fun was just chilling on the server, exploring the plethora of custom maps filled with secrets, and having a great time.

The experience is something I can't imagine in this day and age, epsecialy because matchmaking killed this kind of friendship between random players, and most of the social aspects of games. All of the Free For All servers were mostly about just chilling, with combat only done in agreed-upon duels that had it's own unwritten rules/etiquette that everyone respected. The community was amazing.

From what I remember from college, I think what you're talking about is mostly about intrinsic motivation vs. extrinsic motivation, into which there's a lot of research. Just adding it in case someone wanted to look more into it, and was looking for some keywords.

It's one of the things that's worth knowing about, because you can somehow work around it to get motivated better, and it's one of the more important topics in game design. So, in general a usefull piece of psychology knowledge.

I read "oldest human gnomes", which made the headline way more interesting.

It was only two years, and it was basically half nornal computer science classes, and half working with engines, making a game with classmates and mentors from the industry throughout the year, and learning about rendering, AI behaviors (the videogame kind, not LLMs). The graphics part was about shaders, lighting, post-processing, global illumination, renderers and math, not modeling. It was mostly technical, but we had some game desing classes.

Having AI not bullshiting will require an entirely different set of algorithms than LLM, or ML in general. ML by design aproximates answers, and you don't use it for anything that's deterministic and has a correct answer. So, in that rwgard, we're basically at square 0.

You can keep on slapping a bunch of checks on top of random text prediction it gives you, but if you have a way of checking if something is really true for every case imaginable, then you can probably just use that to instead generate the reply, and it can't be something that's also ML/random.

This is my favorite sentence from his replies.

I've learned today that you are sensitive to ensuring human readability over any concerns in regard to AI consumption